Modeling Cancer: Integrating scales, disciplines and programs (ICBP & PSOC)

@theheikman, Thu Feb 26 23:18:05 +0000 2015, via Twitter for iPhone

@ara_anderson and @gliomath opening #icbppsocmath http://t.co/Qo2iosG7Aw

@sargoshoe, Thu Feb 26 23:19:56 +0000 2015, via Twitter for iPhone

Finally kicking off the #icbppsocmath meeting! #cancer

@gliomath, Fri Feb 27 02:56:19 +0000 2015, via Twitter for iPhone

RT @theheikman: @ara_anderson and @gliomath opening #icbppsocmath http://t.co/Qo2iosG7Aw

@CancerSysBio, Fri Feb 27 04:44:46 +0000 2015, via Twitter for Mac

Dinner, speed science dating, and even late night drinks made a great start to to #icbppsocmath meeting!

@ara_anderson, Fri Feb 27 04:51:11 +0000 2015, via Twitter for iPhone

RT @theheikman: @ara_anderson and @gliomath opening #icbppsocmath http://t.co/Qo2iosG7Aw

@dbasanta, Fri Feb 27 14:10:10 +0000 2015, via Tweetbot for Mac

First official talk at the #icbppsocmath meeting by Doron Levy from Maryland

@dbasanta, Fri Feb 27 14:10:34 +0000 2015, via Tweetbot for Mac

Levy’s talk: the dynamics of drug resistance in cancer #icbppsocmath

@CorbininChicago, Fri Feb 27 14:11:22 +0000 2015, via Twitter for iPhone

RT @dbasanta: First official talk at the #icbppsocmath meeting by Doron Levy from Maryland

@CancerSysBio, Fri Feb 27 14:15:27 +0000 2015, via Twitter for Mac

First up at #icbppsocmath: Doron Levy from University of Maryland, a mathematician.

@MathCancer, Fri Feb 27 14:15:29 +0000 2015, via Twitter Web Client

RT @dbasanta: First official talk at the #icbppsocmath meeting by Doron Levy from Maryland

@dbasanta, Fri Feb 27 14:15:58 +0000 2015, via Tweetbot for Mac

And here’s Levy’s homepage at Maryland: http://t.co/kzx706O5dK #icbppsocmath

@dbasanta, Fri Feb 27 14:17:30 +0000 2015, via Tweetbot for Mac

@robjohnnoble might be interested in knowing that Tomasetti was a student of Prof Levy. #icbppsocmath

@CancerSysBio, Fri Feb 27 14:19:22 +0000 2015, via Twitter for Mac

RT @dbasanta: And here’s Levy’s homepage at Maryland: http://t.co/kzx706O5dK #icbppsocmath

@CancerSysBio, Fri Feb 27 14:20:52 +0000 2015, via Twitter for Mac

DL: multi-drug resistance is a hard problem - too hard to capture everything mathematically. #icbppsocmath

@ara_anderson, Fri Feb 27 14:20:59 +0000 2015, via Twitter for iPhone

Dan Gallahan starts #icbppsocmath Modeling Cancer: Integrating scales, disciplines & programs @theNCI @NCIPhySci http://t.co/qbxEi1fi84

@sargoshoe, Fri Feb 27 14:21:26 +0000 2015, via Twitter for Mac

Hi all, I'm live-tweeting the ICBP-PSOC Math modeling in cancer meeting over at @CancerSysBio #icbppsocmath

@ara_anderson, Fri Feb 27 14:22:23 +0000 2015, via Twitter for iPhone

Getting to know one another: Science speed dating @mathonco #icbppsocmath http://t.co/chNdP0nygs

@ara_anderson, Fri Feb 27 14:24:05 +0000 2015, via Twitter for iPhone

1st presentation by Doron Levy: The dynamics of drug resistance in cancer #icbppsocmath @NCIPhySci @mathonco http://t.co/wyEFtwlmjQ

@dbasanta, Fri Feb 27 14:24:32 +0000 2015, via Tweetbot for Mac

Levy: #mathonco studies optimal protocol for scheduling, infusion vs pulsating therapies and how to do combinations of drugs #icbppsocmath

@theheikman, Fri Feb 27 14:24:57 +0000 2015, via Twitter for iPhone

Spotted the @SMB_MathBiology coffee mug at the #icbppsocmath meeting. @gliomath http://t.co/MBSKzvWgq3

@CancerSysBio, Fri Feb 27 14:25:29 +0000 2015, via Twitter for Mac

RT @ara_anderson: 1st presentation by Doron Levy: The dynamics of drug resistance in cancer #icbppsocmath @NCIPhySci @mathonco http://t.co/wyEFtwlmjQ

@SMB_MathBiology, Fri Feb 27 14:25:54 +0000 2015, via Twitter Web Client

RT @theheikman: Spotted the @SMB_MathBiology coffee mug at the #icbppsocmath meeting. @gliomath http://t.co/MBSKzvWgq3

@CancerSysBio, Fri Feb 27 14:27:20 +0000 2015, via Twitter for Mac

DL: Equations!! Models wt and mutated cells as two distinct populations, before/after drug administration. #icbppsocmath

@ara_anderson, Fri Feb 27 14:27:38 +0000 2015, via Twitter for iPhone

Levy presents a minimal model of drug resistance in cancer, linear, deterministic, well mixed #icbppsocmath http://t.co/b0N4JAoP7y

@CancerConnector, Fri Feb 27 14:32:51 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Getting to know one another: Science speed dating @mathonco #icbppsocmath http://t.co/chNdP0nygs

@CancerConnector, Fri Feb 27 14:32:55 +0000 2015, via Twitter for iPhone

RT @ara_anderson: 1st presentation by Doron Levy: The dynamics of drug resistance in cancer #icbppsocmath @NCIPhySci @mathonco http://t.co/wyEFtwlmjQ

@CancerConnector, Fri Feb 27 14:32:58 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Levy presents a minimal model of drug resistance in cancer, linear, deterministic, well mixed #icbppsocmath http://t.co/b0N4JAoP7y

@CancerConnector, Fri Feb 27 14:33:28 +0000 2015, via Twitter for iPhone

RT @dbasanta: Levy: #mathonco studies optimal protocol for scheduling, infusion vs pulsating therapies and how to do combinations of drugs #icbppsocmath

@dbasanta, Fri Feb 27 14:33:36 +0000 2015, via Tweetbot for Mac

Levy: model of CML including Philadelphia chromosome and treatment with imatinib #icbppsocmath

@gliomath, Fri Feb 27 14:34:36 +0000 2015, via Twitter for iPhone

RT @theheikman: Spotted the @SMB_MathBiology coffee mug at the #icbppsocmath meeting. @gliomath http://t.co/MBSKzvWgq3

@CancerSysBio, Fri Feb 27 14:34:40 +0000 2015, via Twitter for Mac

DL: Nice breakdown of leukemia by origin (lymphocytic/myeloid) and effect (chronic/acute). CML is treatable by glivec. #icbppsocmath

@gliomath, Fri Feb 27 14:35:05 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Dan Gallahan starts #icbppsocmath Modeling Cancer: Integrating scales, disciplines & programs @theNCI @NCIPhySci http://t.co/qbxEi1fi84

@gliomath, Fri Feb 27 14:35:26 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Getting to know one another: Science speed dating @mathonco #icbppsocmath http://t.co/chNdP0nygs

@gliomath, Fri Feb 27 14:35:49 +0000 2015, via Twitter for iPhone

RT @ara_anderson: 1st presentation by Doron Levy: The dynamics of drug resistance in cancer #icbppsocmath @NCIPhySci @mathonco http://t.co/wyEFtwlmjQ

@gliomath, Fri Feb 27 14:35:54 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Levy presents a minimal model of drug resistance in cancer, linear, deterministic, well mixed #icbppsocmath http://t.co/b0N4JAoP7y

@CancerSysBio, Fri Feb 27 14:36:54 +0000 2015, via Twitter for Mac

DL: But even gleevec doesn't cure the patient. Stopping the drug can trigger relapse in ~60% of patients. But which patients? #icbppsocmath

@dbasanta, Fri Feb 27 14:37:06 +0000 2015, via Tweetbot for Mac

Levy has the same question that we had during the #imoWS 2014, when should we take patients from imatinib #icbppsocmath

@MathCancer, Fri Feb 27 14:37:40 +0000 2015, via Twitter Web Client

RT @ara_anderson: Levy presents a minimal model of drug resistance in cancer, linear, deterministic, well mixed #icbppsocmath http://t.co/b0N4JAoP7y

@theheikman, Fri Feb 27 14:38:06 +0000 2015, via Twitter for iPhone

Levy: math may help decide which patient to continue to treat and who to take off drugs if in remission. #icbppsocmath #personalizedMedicine

@sargoshoe, Fri Feb 27 14:41:37 +0000 2015, via Twitter for Mac

How soon into the first talk of a meeting is it safe to get a second cup of coffee? #moarcofee #icbppsocmath

@ara_anderson, Fri Feb 27 14:43:05 +0000 2015, via Twitter for iPhone

Levy discusses adding immune response to a model by one of our cochairs Franziska Michor who ain't here #icbppsocmath http://t.co/fDTwa0USci

@ara_anderson, Fri Feb 27 14:45:44 +0000 2015, via Twitter for iPhone

Levy now turning cancer therapy into an optimal control problem #icbppsocmath

@ara_anderson, Fri Feb 27 14:49:55 +0000 2015, via Twitter for iPhone

Levy's model has 3 steady states: no cancer & no immune, no immune & all cancer, a coexistence between immune & cancer #icbppsocmath

@dbasanta, Fri Feb 27 14:53:08 +0000 2015, via Tweetbot for Mac

Levy: when it comes to resistance what matters is long-lived resistant cells: cancer stem cells #icbppsocmath

@gliomath, Fri Feb 27 14:54:03 +0000 2015, via Twitter for iPad

RT @dbasanta: Levy: when it comes to resistance what matters is long-lived resistant cells: cancer stem cells #icbppsocmath

@CancerSysBio, Fri Feb 27 14:54:48 +0000 2015, via Twitter for Mac

DL: Only focus on drug resistance of long-lived cells: cancer stem cells. #icbppsocmath

@CancerSysBio, Fri Feb 27 14:56:17 +0000 2015, via Twitter for Mac

DL: if we focus on how stem cells divide (asymmetrically), can we predict the fraction of patients that relapse? #icbppsocmath

@CancerSysBio, Fri Feb 27 14:57:46 +0000 2015, via Twitter for Mac

DL: Based on models, patients develop resistance to CML treatment before diagnosis. #earlydetection is the key #icbppsocmath

@MathCancer, Fri Feb 27 14:59:07 +0000 2015, via Twitter Web Client

RT @dbasanta: Levy: when it comes to resistance what matters is long-lived resistant cells: cancer stem cells #icbppsocmath

@dbasanta, Fri Feb 27 15:00:43 +0000 2015, via Tweetbot for Mac

RT @CancerSysBio: DL: if we focus on how stem cells divide (asymmetrically), can we predict the fraction of patients that relapse? #icbppsocmath

@dbasanta, Fri Feb 27 15:00:52 +0000 2015, via Tweetbot for Mac

RT @CancerSysBio: DL: Based on models, patients develop resistance to CML treatment before diagnosis. #earlydetection is the key #icbppsocmath

@dbasanta, Fri Feb 27 15:01:57 +0000 2015, via Tweetbot for Mac

Next #icbppsocmath speaker is Vanderbilt’s Leonard Harris from Quaranta’s group

@dbasanta, Fri Feb 27 15:02:19 +0000 2015, via Tweetbot for Mac

Harris: stochasticity and heterogeneous drug response #icbppsocmath

@CorbininChicago, Fri Feb 27 15:03:04 +0000 2015, via Twitter Web Client

Looking forward to this talk from Dr. Harris once he told me about it at #sciencespeeddating last night #icbppsocmath

@CorbininChicago, Fri Feb 27 15:03:11 +0000 2015, via Twitter Web Client

RT @dbasanta: Harris: stochasticity and heterogeneous drug response #icbppsocmath

@CancerSysBio, Fri Feb 27 15:03:12 +0000 2015, via Twitter for Mac

Next up: Leonard Harris from Quaranta/Lopez labs at Vanderbilt focusing on clonal heterogeneity. #icbppsocmath

@CancerSysBio, Fri Feb 27 15:05:09 +0000 2015, via Twitter for Mac

LH: Quaranta lab can measure heterogeneous drug response using clonal fractional proliferation (cFP) #prettycolors #icbppsocmath

@CancerSysBio, Fri Feb 27 15:07:07 +0000 2015, via Twitter for Mac

LH: use population drug response data to build mathematical model of cell growth. #moarequations #icbppsocmath #reallyverysimple

@CancerSysBio, Fri Feb 27 15:09:19 +0000 2015, via Twitter for Mac

LH: Linear ODE model does not account for discrete, interacting cells - assume continuity. Gillespie algorithm is solution #icbppsocmath

@ara_anderson, Fri Feb 27 15:10:36 +0000 2015, via Twitter for iPhone

Vanderbilt ICBPs Leonard Harris: "Using stochastic sims to differentiate effects of heterogeneity" #icbppsocmath http://t.co/bWO9PTSdgJ

@CancerSysBio, Fri Feb 27 15:10:58 +0000 2015, via Twitter for Mac

LH: Gillespie approach enables us to assume that large numbers of simulations/cells approach ODE model. #icbppsocmath

@dbasanta, Fri Feb 27 15:19:51 +0000 2015, via Tweetbot for Mac

Next one up is Sean Sun from Hopkins: stem cells, spatial interactions and stochasticity #icbppsocmath

@CancerSysBio, Fri Feb 27 15:20:38 +0000 2015, via Twitter for Mac

Next up, Sean Sun from Johns Hopkins PSOC #icbppsocmath :stochasticity and social interactions

@dbasanta, Fri Feb 27 15:21:28 +0000 2015, via Tweetbot for Mac

Sun’s group’s homepage at Hopkins: http://t.co/clCK2PHWRV #icbppsocmath

@CancerSysBio, Fri Feb 27 15:22:01 +0000 2015, via Twitter for Mac

RT @dbasanta: Sun’s group’s homepage at Hopkins: http://t.co/clCK2PHWRV #icbppsocmath

@CorbininChicago, Fri Feb 27 15:23:15 +0000 2015, via Twitter Web Client

Are "stem cells" the only substrate that explains tumor heterogeneity? #icbppsocmath

@ara_anderson, Fri Feb 27 15:24:10 +0000 2015, via Twitter for iPhone

Johns Hopkins PSOC Sean Sun: Stochastic &spatial interactions govern stem cell differentiation dynamics #icbppsocmath http://t.co/28DyfLC3BO

@CancerSysBio, Fri Feb 27 15:24:47 +0000 2015, via Twitter for Mac

SS: Differentiation of iPSCs into vasculature. "In theory this is #reallyverysimple" #icbppsocmath

@ara_anderson, Fri Feb 27 15:27:42 +0000 2015, via Twitter for iPhone

Sun shows some cool experiments that highlight rabbinical cell fate distribution in a fixed environment #icbppsocmath http://t.co/xdejaIS8Iw

@CancerSysBio, Fri Feb 27 15:28:22 +0000 2015, via Twitter for Mac

SS: The amount of fibronectin alters the distribution of cell differentiation over time. #icbppsocmath

@CancerSysBio, Fri Feb 27 15:31:48 +0000 2015, via Twitter for Mac

SS: rate of stem cell differentiation depends on the composition of the population #icbppsocmath

@ara_anderson, Fri Feb 27 15:36:18 +0000 2015, via Twitter for iPhone

Sun says stem cells migrate 100mirons/day & adding migration to his compartment model fits data well #icbppsocmath http://t.co/w8aAs9tyr6

@dbasanta, Fri Feb 27 15:36:37 +0000 2015, via Tweetbot for Mac

Sun: stem cell diff slowed down when surrounded by other stem cells #icbppsocmath

@MathCancer, Fri Feb 27 15:36:51 +0000 2015, via Twitter Web Client

RT @ara_anderson: Sun says stem cells migrate 100mirons/day & adding migration to his compartment model fits data well #icbppsocmath http://t.co/w8aAs9tyr6

@dbasanta, Fri Feb 27 15:43:59 +0000 2015, via Tweetbot for Mac

Next one: Benedict Anchang from Stanford on homogenous populations within heterogeneous tumours #icbppsocmath

@CancerSysBio, Fri Feb 27 15:44:46 +0000 2015, via Twitter for Mac

And next: Benedict Anchang from Stanford - homogeneous populations within heterogeneous tumors #icbppsocmath

@ara_anderson, Fri Feb 27 15:48:24 +0000 2015, via Twitter for iPhone

Sun's conclusion is that stem cells use both short range and long range sensing mechanisms #icbppsocmath http://t.co/Sw0bdvslLA

@CancerSysBio, Fri Feb 27 15:48:41 +0000 2015, via Twitter for Mac

BA: Using stem cell markers to sort cells raises the question: what thresholds to use for markers? #icbppsocmath

@CancerSysBio, Fri Feb 27 15:49:24 +0000 2015, via Twitter for Mac

BA: Goal is to apply machine learning techniques to learn the best parameters for calling cell populations. #icbppsocmath

@CancerSysBio, Fri Feb 27 15:50:34 +0000 2015, via Twitter for Mac

Previous work on using #mixturemodels to sort cellshttp://www.hindawi.com/journals/abi/2009/247646/ from #icbppsocmath

@ara_anderson, Fri Feb 27 15:52:04 +0000 2015, via Twitter for iPhone

Stanford ICBP Benedict Anchang: Model based strategy to isolate homogeneous pops frm heterogeneous pops #icbppsocmath http://t.co/3iryVbNb9R

@CancerSysBio, Fri Feb 27 15:52:13 +0000 2015, via Twitter for Mac

BA: Decision trees are another way to divide populations and determine 'best' parameters. #icbppsocmath

@TenleyArcher, Fri Feb 27 15:52:25 +0000 2015, via Twitter for Android

RT @CancerSysBio: Previous work on using #mixturemodels to sort cellshttp://www.hindawi.com/journals/abi/2009/247646/ from #icbppsocmath

@CancerSysBio, Fri Feb 27 15:53:22 +0000 2015, via Twitter for Mac

BA: Now armed with a model, applies algorithm to Sean Bendell's CyTOF data from the Nolan lab - 13 dimensions! #icbppsocmath

@CancerSysBio, Fri Feb 27 15:54:20 +0000 2015, via Twitter for Mac

BA: shows scatter plots that are colored better with his algorithmic approach. #icbppsocmath Any more metrics?

@CancerSysBio, Fri Feb 27 15:57:13 +0000 2015, via Twitter for Mac

BA: Cell sorting algorithm can compare drug response across homogeneous cell populations #icbppsocmath

@dbasanta, Fri Feb 27 15:58:09 +0000 2015, via Tweetbot for Mac

Scientific meetings are more fun if you also use twitter #icbppsocmath

@CancerSysBio, Fri Feb 27 15:58:35 +0000 2015, via Twitter for Mac

BA: His publication on CCAST - http://t.co/qiNtxrBVCe #icbppsocmath

@dbasanta, Fri Feb 27 15:59:50 +0000 2015, via Tweetbot for Mac

and if you want to follow #icbppsocmath it seems to me that @CancerSysBio and @ara_anderson are the people to follow…and yours truly maybe

@CancerSysBio, Fri Feb 27 16:15:31 +0000 2015, via Twitter for Mac

Arturas Ziemys from Houston Methodist Research Institute PSOC is up next #icbppsocmath

@CancerSysBio, Fri Feb 27 16:17:24 +0000 2015, via Twitter for Mac

AZ: Microenvironment affects the way drugs impact tumors. #icbppsocmath

@CancerSysBio, Fri Feb 27 16:19:53 +0000 2015, via Twitter for Mac

AZ: diffusion models fail to model drug response. Solution: hierarchical coupling. #icbppsocmath

@ara_anderson, Fri Feb 27 16:20:42 +0000 2015, via Twitter for iPhone

Artists Ziemys: Drug delivery modeling deciphers deciphers role of microenvironment in pharmacokinetics #icbppsocmath http://t.co/NPP2O1ohWd

@dbasanta, Fri Feb 27 16:34:12 +0000 2015, via Tweetbot for Mac

Promising #icbppsocmath talk: @sloan_kettering’s Joao Xavier on spatial structure of tumour metabolic microenvironment

@CancerSysBio, Fri Feb 27 16:34:34 +0000 2015, via Twitter for Mac

Next up: Joao Xavier from Memorial Sloan Kettring #icbppsocmath

@dbasanta, Fri Feb 27 16:35:08 +0000 2015, via Tweetbot for Mac

Xavier’s homepage at @sloan_kettering : http://t.co/z4nhz0vlvp #icbppsocmath

@CancerConnector, Fri Feb 27 16:35:30 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Vanderbilt ICBPs Leonard Harris: "Using stochastic sims to differentiate effects of heterogeneity" #icbppsocmath http://t.co/bWO9PTSdgJ

@CancerSysBio, Fri Feb 27 16:35:54 +0000 2015, via Twitter for Mac

JX: Tumor environment is very heterogeneous - what is the source of this heterogeneity? #icbppsocmath

@CancerConnector, Fri Feb 27 16:36:58 +0000 2015, via Twitter for iPhone

RT @dbasanta: Sun’s group’s homepage at Hopkins: http://t.co/clCK2PHWRV #icbppsocmath

@CancerSysBio, Fri Feb 27 16:37:00 +0000 2015, via Twitter for Mac

JX: Tumor associated macrophages associate with the leading edge of advanced tumors, but not early tumors. #icbppsocmath

@MathCancer, Fri Feb 27 16:37:05 +0000 2015, via Twitter Web Client

RT @ara_anderson: Artists Ziemys: Drug delivery modeling deciphers deciphers role of microenvironment in pharmacokinetics #icbppsocmath http://t.co/NPP2O1ohWd

@ara_anderson, Fri Feb 27 16:37:35 +0000 2015, via Twitter for iPhone

MSKCC ICBP Joao Xavier: Emergence of spatial structure in the tumor metabolic microenvironment #icbppsocmath http://t.co/0txaI8WKzw

@CancerSysBio, Fri Feb 27 16:38:10 +0000 2015, via Twitter for Mac

JX: By measuring extracellular metabolites as a diffusion model, we can model the growth of the tumor. #icbppsocmath

@CancerSysBio, Fri Feb 27 16:38:27 +0000 2015, via Twitter for Mac

RT @dbasanta: Xavier’s homepage at @sloan_kettering : http://t.co/z4nhz0vlvp #icbppsocmath

@CancerConnector, Fri Feb 27 16:39:24 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Stanford ICBP Benedict Anchang: Model based strategy to isolate homogeneous pops frm heterogeneous pops #icbppsocmath http://t.co/3iryVbNb9R

@ara_anderson, Fri Feb 27 16:39:30 +0000 2015, via Twitter for iPhone

Xavier: Extracellular metabolites are a good job-genetic source of intratumoral diversity #icbppsocmath couldn't agree more!

@gliomath, Fri Feb 27 16:39:38 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Stanford ICBP Benedict Anchang: Model based strategy to isolate homogeneous pops frm heterogeneous pops #icbppsocmath http://t.co/3iryVbNb9R

@gliomath, Fri Feb 27 16:40:05 +0000 2015, via Twitter for iPhone

RT @dbasanta: Scientific meetings are more fun if you also use twitter #icbppsocmath

@gliomath, Fri Feb 27 16:40:12 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Artists Ziemys: Drug delivery modeling deciphers deciphers role of microenvironment in pharmacokinetics #icbppsocmath http://t.co/NPP2O1ohWd

@gliomath, Fri Feb 27 16:40:19 +0000 2015, via Twitter for iPhone

RT @ara_anderson: MSKCC ICBP Joao Xavier: Emergence of spatial structure in the tumor metabolic microenvironment #icbppsocmath http://t.co/0txaI8WKzw

@CancerSysBio, Fri Feb 27 16:40:32 +0000 2015, via Twitter for Mac

JX: Agent based models can be used to simulate tumor growth in different extracellular environments #icbppsocmath

@gliomath, Fri Feb 27 16:40:42 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Xavier: Extracellular metabolites are a good job-genetic source of intratumoral diversity #icbppsocmath couldn't agree more!

@MathCancer, Fri Feb 27 16:40:48 +0000 2015, via Twitter Web Client

RT @ara_anderson: Xavier: Extracellular metabolites are a good job-genetic source of intratumoral diversity #icbppsocmath couldn't agree more!

@dbasanta, Fri Feb 27 16:40:57 +0000 2015, via Tweetbot for Mac

Xavier uses hybrid discrete-continuum agent-based models #icbppsocmath

@CancerSysBio, Fri Feb 27 16:43:08 +0000 2015, via Twitter for Mac

JX: Added differential equations to agent-based models to improve simulations. #icbppsocmath

@ara_anderson, Fri Feb 27 16:44:05 +0000 2015, via Twitter for iPhone

Xavier shows some of his agent based tumour modeling work that loops growth, division & pushing #icbppsocmath http://t.co/3wZ6j16zQI

@CancerSysBio, Fri Feb 27 16:45:22 +0000 2015, via Twitter for Mac

JX: Carlos Carmona-Fontaine created a device that can be used to culture cells to create a metabolic gradient. #icbppsocmath

@dbasanta, Fri Feb 27 16:45:23 +0000 2015, via Tweetbot for Mac

Xavier: macrophages can’t adapt to hypoxia and acidity like tumour cells so you won’t find them outside the growing edge #icbppsocmath

@CancerSysBio, Fri Feb 27 16:47:12 +0000 2015, via Twitter for Mac

JX: can use the cell culture system to recapitulate macrophage movement observed in live tumors #icbppsocmath

@CancerSysBio, Fri Feb 27 16:47:47 +0000 2015, via Twitter for Mac

RT @dbasanta: Xavier: macrophages can’t adapt to hypoxia and acidity like tumour cells so you won’t find them outside the growing edge #icbppsocmath

@ara_anderson, Fri Feb 27 16:49:45 +0000 2015, via Twitter for iPhone

Xavier: shows us a beautiful integration between in vitro, in silico & in vivo systems #icbppsocmath @mathonco http://t.co/ADDD3R7jGl

@CancerSysBio, Fri Feb 27 16:50:11 +0000 2015, via Twitter for Mac

RT @ara_anderson: Xavier: shows us a beautiful integration between in vitro, in silico & in vivo systems #icbppsocmath @mathonco http://t.co/ADDD3R7jGl

@ara_anderson, Fri Feb 27 16:51:02 +0000 2015, via Twitter for iPhone

Xavier asks What drives spontaneous macrophage polarization? Hypoxia! #icbppsocmath

@dbasanta, Fri Feb 27 16:51:24 +0000 2015, via Tweetbot for Mac

@conor_ie @AutumnDude “@ara_anderson: Xavier asks What drives spontaneous macrophage polarization? Hypoxia! #icbppsocmath”

@CancerSysBio, Fri Feb 27 16:51:30 +0000 2015, via Twitter for Mac

RT @ara_anderson: Xavier asks What drives spontaneous macrophage polarization? Hypoxia! #icbppsocmath

@CancerSysBio, Fri Feb 27 16:53:28 +0000 2015, via Twitter for Mac

JX: metabolic gradients are a source of intra-tumor heterogeneity - now searching for more modulators #icbppsocmath

@MathCancer, Fri Feb 27 16:53:36 +0000 2015, via Twitter Web Client

RT @CancerSysBio: JX: Added differential equations to agent-based models to improve simulations. #icbppsocmath

@MathCancer, Fri Feb 27 16:53:56 +0000 2015, via Twitter Web Client

RT @ara_anderson: Xavier: shows us a beautiful integration between in vitro, in silico & in vivo systems #icbppsocmath @mathonco http://t.co/ADDD3R7jGl

@MathCancer, Fri Feb 27 16:54:22 +0000 2015, via Twitter Web Client

RT @CancerSysBio: JX: metabolic gradients are a source of intra-tumor heterogeneity - now searching for more modulators #icbppsocmath

@CancerSysBio, Fri Feb 27 16:55:36 +0000 2015, via Twitter for Mac

Next up, Fuhai Li from @MethodistHosp - apparently they have both a #PSOC and an #ICBP center! #icbppsocmath

@MathCancer, Fri Feb 27 16:56:17 +0000 2015, via Twitter Web Client

@CancerSysBio Great work on modeling extrinsic sources of heterogeneity. T ME gradients magnify stochastic differences in ABMs #icbppsocmath

@CancerSysBio, Fri Feb 27 16:57:01 +0000 2015, via Twitter for Mac

RT @MathCancer: @CancerSysBio Great work on modeling extrinsic sources of heterogeneity. T ME gradients magnify stochastic differences in ABMs #icbppsocmath

@dbasanta, Fri Feb 27 16:57:20 +0000 2015, via Tweetbot for Mac

What I believe is the last #icbppsocmath talk this morning: Fuhai Li demonstrating a tool to explore tumour-microenv. interactions

@CancerSysBio, Fri Feb 27 17:00:11 +0000 2015, via Twitter for Mac

FL: many computational challenges to studying the tumor-microenvironment interactions #icbppsocmath

@CancerSysBio, Fri Feb 27 17:00:26 +0000 2015, via Twitter for Mac

PSA for #icbppsocmath Turn off your wifi before you get on stage!

@CancerSysBio, Fri Feb 27 17:01:22 +0000 2015, via Twitter for Mac

FL: Integrates protein interaction, gene expression, ligand-receptor interactions to understand tumor-microenvironment #icbppsocmath

@dbasanta, Fri Feb 27 17:02:33 +0000 2015, via Tweetbot for Mac

Fuhai Li spends some time explaining how @ara_anderson’s work shaped his research #icbppsocmath

@ara_anderson, Fri Feb 27 17:03:44 +0000 2015, via Twitter for iPhone

Fuhai Li: Tmen explorer: a software tool for simulating & predicting tumor-microenvironmnt interactions #icbppsocmath http://t.co/8vMW1YZ1s6

@theheikman, Fri Feb 27 17:03:46 +0000 2015, via Twitter for iPhone

@ara_anderson 's work highlighted by Fuhai Li #icbppsocmath @mathonco http://t.co/CF5R59unT2

@CancerSysBio, Fri Feb 27 17:05:42 +0000 2015, via Twitter for Mac

FL: using the model of tumor-microenvironment interactions, Fuhai created TMENExplorer, to simulate effects of perturbation #icbppsocmath

@ara_anderson, Fri Feb 27 17:07:16 +0000 2015, via Twitter for iPhone

Li discusses some free numerical solvers available here http://t.co/UwXfuhJ2PK #icbppsocmath

@MathCancer, Fri Feb 27 17:07:48 +0000 2015, via Twitter Web Client

RT @ara_anderson: Fuhai Li: Tmen explorer: a software tool for simulating & predicting tumor-microenvironmnt interactions #icbppsocmath http://t.co/8vMW1YZ1s6

@dbasanta, Fri Feb 27 17:08:01 +0000 2015, via Tweetbot for Mac

Now Li mentions the work from @theheikman in mathematically exploring the self-seeding hypothesis #icbppsocmath

@CancerSysBio, Fri Feb 27 17:09:39 +0000 2015, via Twitter for Mac

RT @dbasanta: Now Li mentions the work from @theheikman in mathematically exploring the self-seeding hypothesis #icbppsocmath

@MathCancer, Fri Feb 27 17:09:42 +0000 2015, via Twitter Web Client

RT @dbasanta: Now Li mentions the work from @theheikman in mathematically exploring the self-seeding hypothesis #icbppsocmath

@theheikman, Fri Feb 27 17:10:46 +0000 2015, via Twitter Web Client

RT @dbasanta: Now Li mentions the work from @theheikman in mathematically exploring the self-seeding hypothesis #icbppsocmath

@sargoshoe, Fri Feb 27 17:10:48 +0000 2015, via Twitter for Mac

For whenever u give a talk: RT @CancerSysBio: PSA for #icbppsocmath Turn off your wifi before you get on stage!

@ara_anderson, Fri Feb 27 17:11:07 +0000 2015, via Twitter for iPhone

Li shows some of his recent 3D simulation work that his framework is capable of producing #icbppsocmath http://t.co/NxSByCipDL

@gliomath, Fri Feb 27 17:12:19 +0000 2015, via Twitter for iPhone

RT @theheikman: @ara_anderson 's work highlighted by Fuhai Li #icbppsocmath @mathonco http://t.co/CF5R59unT2

@gliomath, Fri Feb 27 17:12:43 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Li shows some of his recent 3D simulation work that his framework is capable of producing #icbppsocmath http://t.co/NxSByCipDL

@ara_anderson, Fri Feb 27 17:21:49 +0000 2015, via Twitter for iPhone

Claire Tomlin does a brilliant job of summarising on the fly this mornings talks #icbppsocmath @mathonco http://t.co/ZR2GwaEIqL

@CancerSysBio, Fri Feb 27 17:22:15 +0000 2015, via Twitter for Mac

RT @ara_anderson: Claire Tomlin does a brilliant job of summarising on the fly this mornings talks #icbppsocmath @mathonco http://t.co/ZR2GwaEIqL

@TenleyArcher, Fri Feb 27 18:06:58 +0000 2015, via Twitter for Android

RT @CancerSysBio: JX: can use the cell culture system to recapitulate macrophage movement observed in live tumors #icbppsocmath

@CancerSysBio, Fri Feb 27 18:33:45 +0000 2015, via Twitter for Mac

Kathleen Wilkie: not going to talk about cancer, but what cancer does to the body. #icbppsocmath

@dbasanta, Fri Feb 27 18:33:57 +0000 2015, via Tweetbot for Mac

Kathleen Wikie from Tufts and soluble factors and micro vesicles in tumour-host interactions #icbppsocmath

@CancerSysBio, Fri Feb 27 18:34:49 +0000 2015, via Twitter for Mac

KW: cancer cachexia in which 50-80% of patients inexplicably lose weight from cancer #icbppsocmath

@CancerSysBio, Fri Feb 27 18:36:59 +0000 2015, via Twitter for Mac

KW: uses mesenchymal stem cells, that become fat and muscle, to derive parameters for whole-system model of cachexia #icbppsocmath

@gliomath, Fri Feb 27 18:37:31 +0000 2015, via Twitter for iPhone

Kathleen Wilkie @TuftsUniversity starts our afternoon session on math modeling of cachexia #icbppsocmath #mathonco http://t.co/0aum2aZarc

@ara_anderson, Fri Feb 27 18:40:54 +0000 2015, via Twitter for iPhone

Tufts ICBP: Kathleen Willkie: Investigating tumour soluble factors & microvessicles in cachexia #icbppsocmath http://t.co/VELjfVTR52

@CancerSysBio, Fri Feb 27 18:41:04 +0000 2015, via Twitter for Mac

RT @ara_anderson: Tufts ICBP: Kathleen Willkie: Investigating tumour soluble factors & microvessicles in cachexia #icbppsocmath http://t.co/VELjfVTR52

@CorbininChicago, Fri Feb 27 18:41:29 +0000 2015, via Twitter Web Client

RT @gliomath: Kathleen Wilkie @TuftsUniversity starts our afternoon session on math modeling of cachexia #icbppsocmath #mathonco http://t.co/0aum2aZarc

@gliomath, Fri Feb 27 18:46:07 +0000 2015, via Twitter for iPhone

Wilkie: bridging scales from systemic cachexia to molecular changes in cells #icbppsocmath http://t.co/y0oYmJySOL

@CorbininChicago, Fri Feb 27 18:46:19 +0000 2015, via Twitter Web Client

Can model of cachexia could help explain what we are starting to understand about NSAIDs and cachexia? http://t.co/9puIy6Cjt0 #icbppsocmath

@CancerSysBio, Fri Feb 27 18:47:36 +0000 2015, via Twitter for Mac

KW: evaluates pro interactions between genes up-reg in adipose-derived MSCs exposed to soluble factors. But genes!=proteins #icbppsocmath

@CancerSysBio, Fri Feb 27 18:49:20 +0000 2015, via Twitter for Mac

RT @gliomath: Wilkie: bridging scales from systemic cachexia to molecular changes in cells #icbppsocmath http://t.co/y0oYmJySOL

@dbasanta, Fri Feb 27 18:50:43 +0000 2015, via Tweetbot for Mac

Now it’s time for Pawel Osmulski from UT San Antonio and a model of circulating tumour cells #icbppsocmath

@CancerSysBio, Fri Feb 27 18:51:08 +0000 2015, via Twitter for Mac

Next up: Pawel Osmulski from UT Health Science at San Antonio #icbppsocmath

@dbasanta, Fri Feb 27 18:51:46 +0000 2015, via Tweetbot for Mac

And here’s Smulski’s homepage: http://t.co/kUYFYhKcDu #icbppsocmath

@CancerSysBio, Fri Feb 27 18:53:25 +0000 2015, via Twitter for Mac

RT @dbasanta: And here’s Smulski’s homepage: http://t.co/kUYFYhKcDu #icbppsocmath

@CancerSysBio, Fri Feb 27 18:56:13 +0000 2015, via Twitter for Mac

PO: Circulating tumor cells are rare, most perish in harsh blood environment. But CAN metastasize to other sites. #icbppsocmath

@dbasanta, Fri Feb 27 18:57:17 +0000 2015, via Tweetbot for Mac

Osmulski: can we use CTCs to predict how metastatic prostate cancer is? better predictor than PSA or Gleason? #icbppsocmath

@ara_anderson, Fri Feb 27 18:58:52 +0000 2015, via Twitter for iPhone

UT health center ICBP Pawel Osmulski: Modeling CTC associations as a predictor of metastasis #icbppsocmath http://t.co/VzO7kaD7Lt

@MathCancer, Fri Feb 27 19:00:16 +0000 2015, via Twitter Web Client

RT @CorbininChicago: Can model of cachexia could help explain what we are starting to understand about NSAIDs and cachexia? http://t.co/9puIy6Cjt0 #icbppsocmath

@MathCancer, Fri Feb 27 19:00:26 +0000 2015, via Twitter Web Client

RT @gliomath: Kathleen Wilkie @TuftsUniversity starts our afternoon session on math modeling of cachexia #icbppsocmath #mathonco http://t.co/0aum2aZarc

@dbasanta, Fri Feb 27 19:06:13 +0000 2015, via Tweetbot for Mac

Osmulski: softer, more sticky and deformable, physical properties characterising more succssful mets in prostate cancer #icbppsocmath

@dbasanta, Fri Feb 27 19:07:51 +0000 2015, via Tweetbot for Mac

Osmulski: CTCs don’t always travel alone, and not all the company is welcomed: immune cells, macrophages…#icbppsocmath

@ara_anderson, Fri Feb 27 19:10:28 +0000 2015, via Twitter for iPhone

Osmulski: Using the physical phenotype of CTCs got prognosis in prostate cancer #icbppsocmath http://t.co/bHmNMZWRaI

@dbasanta, Fri Feb 27 19:13:03 +0000 2015, via Tweetbot for Mac

Osmulski presented great work with an interesting delivery, time for the next speaker #icbppsocmath

@dbasanta, Fri Feb 27 19:14:05 +0000 2015, via Tweetbot for Mac

Chris Rycroft from Stanford on non linear elastic interactions in mmary acini #icbppsocmath

@CancerSysBio, Fri Feb 27 19:16:15 +0000 2015, via Twitter for Mac

Next up: Chris Rycroft, new faculty at Harvard studying mammary acini using nonlinear elastic interactions. #icbppsocmath

@cancerassassin1, Fri Feb 27 19:17:00 +0000 2015, via Twitter for iPhone

RT @ara_anderson: UT health center ICBP Pawel Osmulski: Modeling CTC associations as a predictor of metastasis #icbppsocmath http://t.co/VzO7kaD7Lt

@ara_anderson, Fri Feb 27 19:18:14 +0000 2015, via Twitter for iPhone

Stanford PSOC Chris Rycroft: Modeling nonlinear elastic interactions between mammary acini #icbppsocmath http://t.co/SNDrD0CXz1

@gliomath, Fri Feb 27 19:19:39 +0000 2015, via Twitter for iPhone

Chris Rycroft @HarvardResearch: math modeling of nonlinear elastic interactions of mammary acini #icbppsocmath http://t.co/nOqy6Ax0Ib

@ara_anderson, Fri Feb 27 19:24:27 +0000 2015, via Twitter for iPhone

Rycroft: Collagen is a highly nonlinear material, so he suggests using finite strain elasticity theory #icbppsocmath http://t.co/6h9vmEuSyh

@gliomath, Fri Feb 27 19:25:34 +0000 2015, via Twitter for iPhone

RT @CorbininChicago: Can model of cachexia could help explain what we are starting to understand about NSAIDs and cachexia? http://t.co/9puIy6Cjt0 #icbppsocmath

@gliomath, Fri Feb 27 19:25:52 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Rycroft: Collagen is a highly nonlinear material, so he suggests using finite strain elasticity theory #icbppsocmath http://t.co/6h9vmEuSyh

@ara_anderson, Fri Feb 27 19:31:44 +0000 2015, via Twitter for iPhone

Rhycroft shows how different levels of disorganization in acini formation lead to different cable networks #icbppsocmath

@dbasanta, Fri Feb 27 19:33:18 +0000 2015, via Tweetbot for Mac

Time for our own @mathonco @MRobertsonTessi using a math model to design better combination therapies #icbppsocmath

@CancerSysBio, Fri Feb 27 19:36:02 +0000 2015, via Twitter for Mac

Next up @MRobertsonTessi from @mathonco #icbppsocmath

@ara_anderson, Fri Feb 27 19:36:09 +0000 2015, via Twitter for iPhone

Moffitt PSOC @MRobertsonTessi "Harnessing heterogeneity to design better combination therapies" #icbppsocmath http://t.co/pfovZfjKgE

@CancerSysBio, Fri Feb 27 19:41:52 +0000 2015, via Twitter for Mac

MR-T: spacial heterogeneity is easy to quantify, temporal heterogeneity requires different models. #icbppsocmath

@CancerSysBio, Fri Feb 27 19:42:04 +0000 2015, via Twitter for Mac

RT @ara_anderson: Moffitt PSOC @MRobertsonTessi "Harnessing heterogeneity to design better combination therapies" #icbppsocmath http://t.co/pfovZfjKgE

@dbasanta, Fri Feb 27 19:42:14 +0000 2015, via Tweetbot for Mac

Tessi: Temporal heterogeneity is also important. Heterogeneity is a dynamic feature that changes with, e.g., vascularisation #icbppsocmath

@ara_anderson, Fri Feb 27 19:43:45 +0000 2015, via Twitter for iPhone

.@MRobertsonTessi simulation of his hybrid multi-scale tumour model predicting acid mediated invasion #icbppsocmath http://t.co/PVKP5wWGZP

@gliomath, Fri Feb 27 19:47:26 +0000 2015, via Twitter for iPhone

@MRobertsonTessi: angiogenic pressures on tumor heterogeneity: low grade #glioma, anaplastic and #gbm? #icbppsocmath http://t.co/N1G2iNPQW3

@dbasanta, Fri Feb 27 19:50:23 +0000 2015, via Tweetbot for Mac

.@MRobertsonTessi is working with @luddyka in order to include T-cells into his model to see their impact #icbppsocmath

@CancerSysBio, Fri Feb 27 19:50:48 +0000 2015, via Twitter for Mac

MR-T: the ability to model the tumor env enables the development of ideal treatment combinations across time #icbppsocmath

@ara_anderson, Fri Feb 27 19:51:50 +0000 2015, via Twitter for iPhone

.@MRobertsonTessi shows how timing of chemotherapy can can slow tumor growth or accelerate it! #icbppsocmath http://t.co/7PmeNgnb6g

@CancerSysBio, Fri Feb 27 19:53:22 +0000 2015, via Twitter for Mac

MR-T conclusion: need to develop clinical methods for measuring heterogeneity. Yes…. #icbppsocmath

@dbasanta, Fri Feb 27 19:55:30 +0000 2015, via Tweetbot for Mac

RT @CancerSysBio: MR-T conclusion: need to develop clinical methods for measuring heterogeneity. Yes…. #icbppsocmath

@luddyka, Fri Feb 27 20:08:20 +0000 2015, via Twitter for iPhone

RT @dbasanta: .@MRobertsonTessi is working with @luddyka in order to include T-cells into his model to see their impact #icbppsocmath

@CancerSysBio, Fri Feb 27 20:10:09 +0000 2015, via Twitter for Mac

Parag Mallick starts us off with some great juggling, also - multi-omics #icbppsocmath

@MathCancer, Fri Feb 27 20:11:13 +0000 2015, via Twitter Web Client

RT @dbasanta: .@MRobertsonTessi is working with @luddyka in order to include T-cells into his model to see their impact #icbppsocmath

@MathCancer, Fri Feb 27 20:11:27 +0000 2015, via Twitter Web Client

RT @CancerSysBio: Parag Mallick starts us off with some great juggling, also - multi-omics #icbppsocmath

@gliomath, Fri Feb 27 20:11:28 +0000 2015, via Twitter for iPhone

RT @CancerSysBio: MR-T conclusion: need to develop clinical methods for measuring heterogeneity. Yes…. #icbppsocmath

@gliomath, Fri Feb 27 20:11:33 +0000 2015, via Twitter for iPhone

RT @dbasanta: .@MRobertsonTessi is working with @luddyka in order to include T-cells into his model to see their impact #icbppsocmath

@gliomath, Fri Feb 27 20:11:46 +0000 2015, via Twitter for iPhone

RT @CancerSysBio: Parag Mallick starts us off with some great juggling, also - multi-omics #icbppsocmath

@MathCancer, Fri Feb 27 20:12:51 +0000 2015, via Twitter Web Client

RT @gliomath: @MRobertsonTessi: angiogenic pressures on tumor heterogeneity: low grade #glioma, anaplastic and #gbm? #icbppsocmath http://t.co/N1G2iNPQW3

@CancerSysBio, Fri Feb 27 20:13:18 +0000 2015, via Twitter for Mac

PM: transcriptome and proteome do not correlate. for more on that see this: http://t.co/JzY2guFdl7 #icbppsocmath

@gliomath, Fri Feb 27 20:14:09 +0000 2015, via Twitter for iPhone

RT @CancerSysBio: PM: transcriptome and proteome do not correlate. for more on that see this: http://t.co/JzY2guFdl7 #icbppsocmath

@CancerSysBio, Fri Feb 27 20:14:11 +0000 2015, via Twitter for Mac

PM: Instead, looking for transcripts that exhibit inverse relationship to protein levels. #icbppsocmath

@ara_anderson, Fri Feb 27 20:14:16 +0000 2015, via Twitter for iPhone

USC PSOC Parag Mallick: An experimentally calibrated model of signalling in B-cell receptor pathway #icbppsocmath http://t.co/4fSCWUK5g0

@gliomath, Fri Feb 27 20:14:49 +0000 2015, via Twitter for iPhone

RT @ara_anderson: USC PSOC Parag Mallick: An experimentally calibrated model of signalling in B-cell receptor pathway #icbppsocmath http://t.co/4fSCWUK5g0

@CancerSysBio, Fri Feb 27 20:15:45 +0000 2015, via Twitter for Mac

Also, shameless plug here - @sargoshoe has been working on some software for more omics integration: http://t.co/em0ABVJ4oR #icbppsocmath

@CancerSysBio, Fri Feb 27 20:17:00 +0000 2015, via Twitter for Mac

PM: found resistance is brought about by histone modifications that then lead to DNA methylation changes. #icbppsocmath

@MathCancer, Fri Feb 27 20:17:40 +0000 2015, via Twitter Web Client

RT @CancerSysBio: PM: transcriptome and proteome do not correlate. for more on that see this: http://t.co/JzY2guFdl7 #icbppsocmath

@gliomath, Fri Feb 27 20:18:08 +0000 2015, via Twitter for iPhone

RT @CancerSysBio: PM: found resistance is brought about by histone modifications that then lead to DNA methylation changes. #icbppsocmath

@ara_anderson, Fri Feb 27 20:18:14 +0000 2015, via Twitter for iPhone

Mallick showing us just what a talented juggler he is, apparently he's also a magician #icbppsocmath http://t.co/oBTJg3v8LI

@MathCancer, Fri Feb 27 20:18:51 +0000 2015, via Twitter Web Client

RT @ara_anderson: USC PSOC Parag Mallick: An experimentally calibrated model of signalling in B-cell receptor pathway #icbppsocmath http://t.co/4fSCWUK5g0

@gliomath, Fri Feb 27 20:19:01 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Mallick showing us just what a talented juggler he is, apparently he's also a magician #icbppsocmath http://t.co/oBTJg3v8LI

@MathCancer, Fri Feb 27 20:20:35 +0000 2015, via Twitter Web Client

RT @ara_anderson: Mallick showing us just what a talented juggler he is, apparently he's also a magician #icbppsocmath http://t.co/oBTJg3v8LI

@USC_PSOC, Fri Feb 27 20:20:46 +0000 2015, via Twitter Web Client

RT @ara_anderson: Mallick showing us just what a talented juggler he is, apparently he's also a magician #icbppsocmath http://t.co/oBTJg3v8LI

@CancerSysBio, Fri Feb 27 20:21:15 +0000 2015, via Twitter for Mac

PM: modeling protein-protein interactions as a system of chemical interactions. #icbppsocmath

@MultiCellDS, Fri Feb 27 20:24:41 +0000 2015, via Twitter for Android

@USC_PSOC Parag Mallick shows important multiagent physics problem at #icbppsocmath video via @ara_anderson http://t.co/VWemZ54iEO"

@CancerSysBio, Fri Feb 27 20:26:16 +0000 2015, via Twitter for Mac

PM: modeling physical interaction rate constants at a high throughput level to model B-cell signaling. #icbppsocmath

@CancerSysBio, Fri Feb 27 20:26:53 +0000 2015, via Twitter for Mac

PM: PPI binding affinities can vary over 6-8 orders of magnitude!! #icbppsocmath

@MathCancer, Fri Feb 27 20:27:47 +0000 2015, via Twitter Web Client

RT @CancerSysBio: PM: PPI binding affinities can vary over 6-8 orders of magnitude!! #icbppsocmath

@CancerSysBio, Fri Feb 27 20:29:55 +0000 2015, via Twitter for Mac

PM: interestingly, impact of altering protein expression is not correlated with protein degree. #icbppsocmath

@CancerSysBio, Fri Feb 27 20:34:06 +0000 2015, via Twitter for Mac

Roel Dobbe: high throughput data analysis from OHSU/Berkeley ICBP #icbppsocmath

@jillagal, Fri Feb 27 20:34:31 +0000 2015, via Twitter for iPad

RT @ara_anderson: Xavier: shows us a beautiful integration between in vitro, in silico & in vivo systems #icbppsocmath @mathonco http://t.co/ADDD3R7jGl

@ara_anderson, Fri Feb 27 20:36:03 +0000 2015, via Twitter for iPhone

Mallick makes a key but contentious prediction that network connectivity does not correlate with impact #icbppsocmath

@CancerSysBio, Fri Feb 27 20:36:10 +0000 2015, via Twitter for Mac

RD: evaluation of RPPA measurements in response to perturbation in various cancer cell lines #icbppsocmath

@ara_anderson, Fri Feb 27 20:40:00 +0000 2015, via Twitter for iPhone

OHSU ICBP Roel Dobbe: leveraging novel methods for high dim data analysis & system ID in cancer biology #icbppsocmath http://t.co/1cGYiTQoaI

@MathCancer, Fri Feb 27 20:43:19 +0000 2015, via Twitter Web Client

RT @ara_anderson: OHSU ICBP Roel Dobbe: leveraging novel methods for high dim data analysis & system ID in cancer biology #icbppsocmath http://t.co/1cGYiTQoaI

@CancerSysBio, Fri Feb 27 20:53:12 +0000 2015, via Twitter for Mac

Ji-Ping Wang from northwestern PSOC #icbppsocmath looking at @TCGAupdates data!

@CancerSysBio, Fri Feb 27 20:57:09 +0000 2015, via Twitter for Mac

J-PW models each type of data in TCGA as a bayesian network. Question: how to define network structure? #icbppsocmath

@ara_anderson, Fri Feb 27 21:00:30 +0000 2015, via Twitter for iPhone

Northwestern PSOC Ji-Ping Wang: Modeling casualties of mixed features in TCGA data usin Bayesian netwrk #icbppsocmath http://t.co/Iok2iUMOKQ

@CancerSysBio, Fri Feb 27 21:00:39 +0000 2015, via Twitter for Mac

J-PW: common prob with bayesian network construction: how to handle both continuous and discrete variables in same structure? #icbppsocmath

@CancerSysBio, Fri Feb 27 21:01:08 +0000 2015, via Twitter for Mac

RT @ara_anderson: Northwestern PSOC Ji-Ping Wang: Modeling casualties of mixed features in TCGA data usin Bayesian netwrk #icbppsocmath http://t.co/Iok2iUMOKQ

@CancerSysBio, Fri Feb 27 21:02:37 +0000 2015, via Twitter for Mac

Next up, @sargoshoe from the MIT ICBP. She's on the job market, so check out her research here: http://t.co/EYD9Nioqlm #icbppsocmath

@MathCancer, Fri Feb 27 21:13:45 +0000 2015, via Twitter Web Client

RT @CancerSysBio: Next up, @sargoshoe from the MIT ICBP. She's on the job market, so check out her research here: http://t.co/EYD9Nioqlm #icbppsocmath

@ara_anderson, Fri Feb 27 21:17:26 +0000 2015, via Twitter for iPhone

MIT ICBP @sargoshoe Transcriptionam networks amplify microRNA effects: new expln for microRNA paradox m #icbppsocmath http://t.co/zQGR2BxAIJ

@ara_anderson, Fri Feb 27 21:18:48 +0000 2015, via Twitter for iPhone

@sargoshoe explains what microRNA are and why they are important #icbppsocmath http://t.co/gcC5KEzD4M

@TenleyArcher, Fri Feb 27 21:26:15 +0000 2015, via Twitter for Android

RT @CancerSysBio: Next up, @sargoshoe from the MIT ICBP. She's on the job market, so check out her research here: http://t.co/EYD9Nioqlm #icbppsocmath

@ara_anderson, Fri Feb 27 21:27:42 +0000 2015, via Twitter for iPhone

@sargoshoe shows a simultaneous analysis of multple NETworks that she developed #icbppsocmath https://t.co/EWZ9vref0X http://t.co/029r3Zud7C

@sargoshoe, Fri Feb 27 21:36:36 +0000 2015, via Twitter for Mac

RT @ara_anderson: @sargoshoe shows a simultaneous analysis of multple NETworks that she developed #icbppsocmath https://t.co/EWZ9vref0X http://t.co/029r3Zud7C

@sargoshoe, Fri Feb 27 21:37:24 +0000 2015, via Twitter for Mac

RT @ara_anderson: @sargoshoe explains what microRNA are and why they are important #icbppsocmath http://t.co/gcC5KEzD4M

@CancerSysBio, Fri Feb 27 21:41:51 +0000 2015, via Twitter for Mac

RT @ara_anderson: @sargoshoe shows a simultaneous analysis of multple NETworks that she developed #icbppsocmath https://t.co/EWZ9vref0X http://t.co/029r3Zud7C

@CancerConnector, Fri Feb 27 21:44:33 +0000 2015, via Twitter Web Client

RT @ara_anderson: @sargoshoe shows a simultaneous analysis of multple NETworks that she developed #icbppsocmath https://t.co/EWZ9vref0X http://t.co/029r3Zud7C

@CancerSysBio, Fri Feb 27 21:54:46 +0000 2015, via Twitter for Mac

RT @ara_anderson: MIT ICBP @sargoshoe Transcriptionam networks amplify microRNA effects: new expln for microRNA paradox m #icbppsocmath http://t.co/zQGR2BxAIJ

@rrockne, Fri Feb 27 22:49:35 +0000 2015, via Twitter for iPhone

RT @ara_anderson: @sargoshoe shows a simultaneous analysis of multple NETworks that she developed #icbppsocmath https://t.co/EWZ9vref0X http://t.co/029r3Zud7C

@gliomath, Sat Feb 28 04:50:34 +0000 2015, via Twitter for iPhone

RT @ara_anderson: @sargoshoe explains what microRNA are and why they are important #icbppsocmath http://t.co/gcC5KEzD4M

@gliomath, Sat Feb 28 04:50:37 +0000 2015, via Twitter for iPhone

RT @ara_anderson: @sargoshoe shows a simultaneous analysis of multple NETworks that she developed #icbppsocmath https://t.co/EWZ9vref0X http://t.co/029r3Zud7C

@AndreaSottoriva, Sat Feb 28 08:56:49 +0000 2015, via Twitter for iPhone

RT @ara_anderson: .@MRobertsonTessi simulation of his hybrid multi-scale tumour model predicting acid mediated invasion #icbppsocmath http://t.co/PVKP5wWGZP

@CancerConnector, Sat Feb 28 13:17:15 +0000 2015, via Twitter for iPhone

RT @dbasanta: Time for our own @mathonco @MRobertsonTessi using a math model to design better combination therapies #icbppsocmath

@dbasanta, Sat Feb 28 14:08:35 +0000 2015, via Tweetbot for Mac

Keynote speaker with a computational study of breast cancer progression and metastasis #icbppsocmath

@dbasanta, Sat Feb 28 14:08:59 +0000 2015, via Tweetbot for Mac

Also: his name is Aleksander Popel from Johns Hopkins #icbppsocmath

@dbasanta, Sat Feb 28 14:09:57 +0000 2015, via Tweetbot for Mac

Here is Popel’s website at Hopkins: http://t.co/aScmCee1Y3 #icbppsocmath

@ara_anderson, Sat Feb 28 14:12:26 +0000 2015, via Twitter for iPhone

OHSU ICBP Claire Tomlin opens the final session of #icbppsocmath by introducing Sasha Popel http://t.co/UuhD5NIAd2

@dbasanta, Sat Feb 28 14:15:35 +0000 2015, via Tweetbot for Mac

People talks about secretomes, an interesting concepts that groups all the signalling molecules relevant in breast cancer #icbppsocmath

@ara_anderson, Sat Feb 28 14:15:36 +0000 2015, via Twitter for iPhone

Sasha Popel: Computational modeling & experimental studies of breast cancer progression and metastasis #icbppsocmath http://t.co/HeG5KnO1T8

@MathCancer, Sat Feb 28 14:17:22 +0000 2015, via Twitter Web Client

RT @ara_anderson: Sasha Popel: Computational modeling & experimental studies of breast cancer progression and metastasis #icbppsocmath http://t.co/HeG5KnO1T8

@ara_anderson, Sat Feb 28 14:19:36 +0000 2015, via Twitter for iPhone

Popel discusses his work on complex tumour and organ microenvironments @MathCancer will be interested! #icbppsocmath http://t.co/XVdPIDmcQd

@gliomath, Sat Feb 28 14:20:02 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Sasha Popel: Computational modeling & experimental studies of breast cancer progression and metastasis #icbppsocmath http://t.co/HeG5KnO1T8

@gliomath, Sat Feb 28 14:20:10 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Popel discusses his work on complex tumour and organ microenvironments @MathCancer will be interested! #icbppsocmath http://t.co/XVdPIDmcQd

@MathCancer, Sat Feb 28 14:20:32 +0000 2015, via Twitter Web Client

RT @ara_anderson: Popel discusses his work on complex tumour and organ microenvironments @MathCancer will be interested! #icbppsocmath http://t.co/XVdPIDmcQd

@dbasanta, Sat Feb 28 14:21:00 +0000 2015, via Tweetbot for Mac

Popel: using protein-protein networks to building angiome, immunome and other -ome things #icbppsocmath

@ara_anderson, Sat Feb 28 14:24:12 +0000 2015, via Twitter for iPhone

Popel defines molecularly the Angiome and the Immunome and shows how these hubs interact #icbppsocmath http://t.co/p5LqRa2kpg

@ara_anderson, Sat Feb 28 14:30:23 +0000 2015, via Twitter for iPhone

Popel: Organ residing lymphatic endothelial cells play a central role in metastatic axis IL6-CCL5-CCR5 #icbppsocmath http://t.co/HKvANUd75E

@MathCancer, Sat Feb 28 14:31:59 +0000 2015, via Twitter Web Client

A key feature on Popel's work: cells alter phenotype based upon secretome of other cells. (1/3) #icbppsocmath

@MathCancer, Sat Feb 28 14:32:49 +0000 2015, via Twitter Web Client

breast cancer secretome makes lymph endothelial cells secrete CCL5. Not secreted by ER+ breast cancer cells! (2/3) #icbppsocmath

@MathCancer, Sat Feb 28 14:33:45 +0000 2015, via Twitter Web Client

secretome of lymph endothelial cells (CCL5) induces metastasis by breast cancer cells. (3/3) #icbppsocmath

@MathCancer, Sat Feb 28 14:34:10 +0000 2015, via Twitter Web Client

RT @ara_anderson: Popel: Organ residing lymphatic endothelial cells play a central role in metastatic axis IL6-CCL5-CCR5 #icbppsocmath http://t.co/HKvANUd75E

@ara_anderson, Sat Feb 28 14:34:39 +0000 2015, via Twitter for iPhone

Popel: Knocking out IL6 in vivo on metastatic breast cancer leads to complete suppression of metastasis #icbppsocmath

@MathCancer, Sat Feb 28 14:37:28 +0000 2015, via Twitter Web Client

Will be keyto simulate secretome of many cells in spatial environment, and alteration of cell phenotype as a result. #icbppsocmath

@dbasanta, Sat Feb 28 14:38:57 +0000 2015, via Tweetbot for Mac

RT @MathCancer: Will be keyto simulate secretome of many cells in spatial environment, and alteration of cell phenotype as a result. #icbppsocmath

@MathCancer, Sat Feb 28 14:40:52 +0000 2015, via Twitter Web Client

Popel: KA Norton has a great agent-based model of avascular growth. Stem cell, CCL5 dynamics. #icbppsocmath

@MathCancer, Sat Feb 28 14:43:57 +0000 2015, via Twitter Web Client

Popel: challenge in modeling receptor signaling is many phosphorylation sites. Each triggers different things downstream #icbppsocmath

@MathCancer, Sat Feb 28 14:46:30 +0000 2015, via Twitter Web Client

Popel showing fantastic VEGFR network & treatment modeling by @USCSysBio_Lab at #icbppsocmath meeting. That work continues at @USCViterbi!

@ara_anderson, Sat Feb 28 14:50:06 +0000 2015, via Twitter for iPhone

Popel shows some of his gorgeous reconstructed 3D vascular beds with realistic simulated flow #icbppsocmath http://t.co/ij1jMLIBnb

@CancerSysBio, Sat Feb 28 14:50:24 +0000 2015, via Twitter for Mac

RT @ara_anderson: Sasha Popel: Computational modeling & experimental studies of breast cancer progression and metastasis #icbppsocmath http://t.co/HeG5KnO1T8

@MathCancer, Sat Feb 28 14:51:46 +0000 2015, via Twitter for Android

Wow! Popel modeling microvasc O2 flow in xenografts at #icbppsocmath. 500k nodes 50k segments http://t.co/OWON2R52S4

@MathCancer, Sat Feb 28 14:52:03 +0000 2015, via Twitter Web Client

RT @ara_anderson: Popel shows some of his gorgeous reconstructed 3D vascular beds with realistic simulated flow #icbppsocmath http://t.co/ij1jMLIBnb

@gliomath, Sat Feb 28 14:52:03 +0000 2015, via Twitter for iPhone

RT @MathCancer: Wow! Popel modeling microvasc O2 flow in xenografts at #icbppsocmath. 500k nodes 50k segments http://t.co/OWON2R52S4

@gliomath, Sat Feb 28 14:52:08 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Popel shows some of his gorgeous reconstructed 3D vascular beds with realistic simulated flow #icbppsocmath http://t.co/ij1jMLIBnb

@gliomath, Sat Feb 28 14:52:27 +0000 2015, via Twitter for iPhone

RT @MathCancer: Popel: challenge in modeling receptor signaling is many phosphorylation sites. Each triggers different things downstream #icbppsocmath

@gliomath, Sat Feb 28 14:52:44 +0000 2015, via Twitter for iPhone

RT @MathCancer: Popel: KA Norton has a great agent-based model of avascular growth. Stem cell, CCL5 dynamics. #icbppsocmath

@gliomath, Sat Feb 28 14:52:49 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Popel: Knocking out IL6 in vivo on metastatic breast cancer leads to complete suppression of metastasis #icbppsocmath

@dbasanta, Sat Feb 28 15:09:02 +0000 2015, via Tweetbot for Mac

Talk now by Bill Baumann from Georgetown and collaborator of John Tyson #icbppsocmath

@dbasanta, Sat Feb 28 15:09:33 +0000 2015, via Tweetbot for Mac

Next talk is yours truly so if you want tweets you might want to follow @ara_anderson and/or @MathCancer #icbppsocmath

@CancerSysBio, Sat Feb 28 15:09:56 +0000 2015, via Twitter for Mac

William Baumann from the Georgetown ICBP here talking about crosstalk between estrogen receptors and growth factors. #icbppsocmath

@ara_anderson, Sat Feb 28 15:10:58 +0000 2015, via Twitter for iPhone

Georgetown ICBP Bill Bauman: Modelling treatment of endocrine therapy-responsive & resistant cancer #icbppsocmath http://t.co/tOfUe9q7Rr

@MathCancer, Sat Feb 28 15:11:48 +0000 2015, via Twitter Web Client

RT @CancerSysBio: William Baumann from the Georgetown ICBP here talking about crosstalk between estrogen receptors and growth factors. #icbppsocmath

@sargoshoe, Sat Feb 28 15:12:11 +0000 2015, via Twitter for Mac

Took nearly two days in Tampa to get some real cuban coffee and toast! Added perks of the #icbppsocmath meeting :)

@MathCancer, Sat Feb 28 15:12:42 +0000 2015, via Twitter Web Client

Haven't seen this in awhile! Baumann does phase plane analysis on 2-ODE signaling system at #icbppsocmath

@sargoshoe, Sat Feb 28 15:13:18 +0000 2015, via Twitter for Mac

If you are still in town and want to get a taste of Cuban food here, visit Arco-Iris: http://t.co/64XTiktKpW #icbppsocmath

@sargoshoe, Sat Feb 28 15:14:23 +0000 2015, via Twitter for Mac

I'm hoping to stop by la tropicana to stock up on cuban food on the way to the airport: http://t.co/darGeOPPhY #icbppsocmath #notforvegans

@CancerSysBio, Sat Feb 28 15:14:40 +0000 2015, via Twitter for Mac

RT @sargoshoe: If you are still in town and want to get a taste of Cuban food here, visit Arco-Iris: http://t.co/64XTiktKpW #icbppsocmath

@MathCancer, Sat Feb 28 15:15:35 +0000 2015, via Twitter Web Client

Baumann uses Fokker-Plank equation to get a gradient system, study surface of the "breast cancer landscape." #icbppsocmath #icbpsoc

@ara_anderson, Sat Feb 28 15:16:05 +0000 2015, via Twitter for iPhone

Baumann shows compact ode model with 4 steady states that correlate with distinct breast cancer states #icbppsocmath http://t.co/ItYoMbDMPf

@sargoshoe, Sat Feb 28 15:17:25 +0000 2015, via Twitter for Mac

.@mathcancer Closest place to #icbppsocmath is Columbia cafe - an offshoot from the historic Columbia restaurant. http://t.co/vHTpcnGvzJ

@MathCancer, Sat Feb 28 15:19:31 +0000 2015, via Twitter Web Client

Baumann's model says "drug holiday" can reset system, open new window of drug effectiveness. Interesting idea! #icbppsocmath

@CancerSysBio, Sat Feb 28 15:20:09 +0000 2015, via Twitter for Mac

RT @MathCancer: Baumann's model says "drug holiday" can reset system, open new window of drug effectiveness. Interesting idea! #icbppsocmath

@ara_anderson, Sat Feb 28 15:21:30 +0000 2015, via Twitter for iPhone

Baumann shows the impact of drug holidays: resistant relaxation and return to sensitization #icbppsocmath Of course when & how long is key!

@MathCancer, Sat Feb 28 15:23:34 +0000 2015, via Twitter Web Client

Next speaker at #icbpsocmath is @dbasanta. An integrated framework to test treatments of PCa bone metastases. Work with @AutumnDude

@ara_anderson, Sat Feb 28 15:25:55 +0000 2015, via Twitter for iPhone

Baumann it's easy to optimize therapy in a model but the hard part is to build a model worth optimizing #icbppsocmath

@MathCancer, Sat Feb 28 15:26:58 +0000 2015, via Twitter Web Client

RT @ara_anderson: Baumann it's easy to optimize therapy in a model but the hard part is to build a model worth optimizing #icbppsocmath

@CancerSysBio, Sat Feb 28 15:27:48 +0000 2015, via Twitter for Mac

Next up, @dbasanta from the @mathonco talking about new treatments in prostate cancer bone metastases. #icbppsocmath

@CorbininChicago, Sat Feb 28 15:28:36 +0000 2015, via Twitter Web Client

RT @CancerSysBio: Next up, @dbasanta from the @mathonco talking about new treatments in prostate cancer bone metastases. #icbppsocmath

@CancerSysBio, Sat Feb 28 15:28:47 +0000 2015, via Twitter for Mac

DB: Quotes einstein - "Everything should be made as simple as possible, but not simpler". Great mantra for modeling in cancer #icbppsocmath

@CorbininChicago, Sat Feb 28 15:29:06 +0000 2015, via Twitter Web Client

RT @CancerSysBio: DB: Quotes einstein - "Everything should be made as simple as possible, but not simpler". Great mantra for modeling in cancer #icbppsocmath

@gliomath, Sat Feb 28 15:29:37 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Georgetown ICBP Bill Bauman: Modelling treatment of endocrine therapy-responsive & resistant cancer #icbppsocmath http://t.co/tOfUe9q7Rr

@gliomath, Sat Feb 28 15:30:00 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Baumann shows compact ode model with 4 steady states that correlate with distinct breast cancer states #icbppsocmath http://t.co/ItYoMbDMPf

@gliomath, Sat Feb 28 15:30:05 +0000 2015, via Twitter for iPhone

RT @MathCancer: Baumann uses Fokker-Plank equation to get a gradient system, study surface of the "breast cancer landscape." #icbppsocmath #icbpsoc

@gliomath, Sat Feb 28 15:30:17 +0000 2015, via Twitter for iPhone

RT @MathCancer: Baumann's model says "drug holiday" can reset system, open new window of drug effectiveness. Interesting idea! #icbppsocmath

@gliomath, Sat Feb 28 15:30:21 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Baumann shows the impact of drug holidays: resistant relaxation and return to sensitization #icbppsocmath Of course when & how long is key!

@gliomath, Sat Feb 28 15:30:25 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Baumann it's easy to optimize therapy in a model but the hard part is to build a model worth optimizing #icbppsocmath

@gliomath, Sat Feb 28 15:30:38 +0000 2015, via Twitter for iPhone

RT @CancerSysBio: DB: Quotes einstein - "Everything should be made as simple as possible, but not simpler". Great mantra for modeling in cancer #icbppsocmath

@ara_anderson, Sat Feb 28 15:31:13 +0000 2015, via Twitter for iPhone

Moffitt ICBP @dbasanta An integrated framework to test treatments in bone metastatic prostate cancer #icbppsocmath http://t.co/CVTD8AjoX4

@CancerSysBio, Sat Feb 28 15:34:50 +0000 2015, via Twitter for Mac

DB describes 'Discrete Continuous Model' of bone mets. Not an oxymoron - just a model that contains discrete and cont parts. #icbppsocmath

@MathCancer, Sat Feb 28 15:34:56 +0000 2015, via Twitter Web Client

#icbpsocmath @dbasanta and @AutumnDude model MSCs/osteoblasts linked into larger tumor system in bone site. Cellular automaton framework.

@MathCancer, Sat Feb 28 15:35:57 +0000 2015, via Twitter Web Client

#icbpsocmath @dbasanta: Extra rules for interactions between prostate cancer cells and mesenchymal stem cells (MSCs).

@MathCancer, Sat Feb 28 15:37:05 +0000 2015, via Twitter Web Client

Very cool part of @dbasanta's work is simulating bone remodeling. So important for prostate cancer patients, quality of life. #icbpsocmath

@gliomath, Sat Feb 28 15:37:32 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Moffitt ICBP @dbasanta An integrated framework to test treatments in bone metastatic prostate cancer #icbppsocmath http://t.co/CVTD8AjoX4

@CancerConnector, Sat Feb 28 15:38:00 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Popel discusses his work on complex tumour and organ microenvironments @MathCancer will be interested! #icbppsocmath http://t.co/XVdPIDmcQd

@MathCancer, Sat Feb 28 15:38:02 +0000 2015, via Twitter Web Client

This bone remodeling-MSC-PCa network lets @dbasanta test bisphosphonate and anti-TGFbeta therapies in silico. #icbppsocmath

@CancerConnector, Sat Feb 28 15:38:08 +0000 2015, via Twitter for iPhone

RT @dbasanta: Here is Popel’s website at Hopkins: http://t.co/aScmCee1Y3 #icbppsocmath

@ara_anderson, Sat Feb 28 15:38:36 +0000 2015, via Twitter for iPhone

.@dbasanta Says homeostasis in his model is robust & the viscous cycle only emergse in a subset of the sims #icbppsocmath

@gliomath, Sat Feb 28 15:38:48 +0000 2015, via Twitter for iPhone

RT @dbasanta: Here is Popel’s website at Hopkins: http://t.co/aScmCee1Y3 #icbppsocmath

@CancerSysBio, Sat Feb 28 15:38:51 +0000 2015, via Twitter for Mac

DB: first step - build model of metastasis that recapitulates patient data in vivo. Next, simulate new drug treatment. #icbppsocmath

@MathCancer, Sat Feb 28 15:39:15 +0000 2015, via Twitter Web Client

A great use for fast and simple CA models: rapid testing of hypotheses. Is a treatment idea worthwhile? @dbasanta at #icbppsocmath

@ara_anderson, Sat Feb 28 15:41:10 +0000 2015, via Twitter for iPhone

.@dbasanta claims TGF-Beta is important in normal bone & gets hijacked by the cancer #icbppsocmath http://t.co/RcwihswN4t

@MathCancer, Sat Feb 28 15:42:48 +0000 2015, via Twitter Web Client

RT @ara_anderson: .@dbasanta claims TGF-Beta is important in normal bone & gets hijacked by the cancer #icbppsocmath http://t.co/RcwihswN4t

@ara_anderson, Sat Feb 28 15:43:11 +0000 2015, via Twitter for iPhone

.@dbasanta His model predicts that TGF-Beta inhibitor pre-treatment is critical for therapeutic success #icbppsocmath http://t.co/5ziWGF025X

@CancerConnector, Sat Feb 28 15:43:17 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Baumann shows compact ode model with 4 steady states that correlate with distinct breast cancer states #icbppsocmath http://t.co/ItYoMbDMPf

@CancerConnector, Sat Feb 28 15:43:20 +0000 2015, via Twitter for iPhone

RT @MathCancer: Haven't seen this in awhile! Baumann does phase plane analysis on 2-ODE signaling system at #icbppsocmath

@cancerassassin1, Sat Feb 28 15:43:23 +0000 2015, via Twitter for iPhone

RT @MathCancer: Baumann's model says "drug holiday" can reset system, open new window of drug effectiveness. Interesting idea! #icbppsocmath

@gliomath, Sat Feb 28 15:43:41 +0000 2015, via Twitter for iPhone

RT @ara_anderson: .@dbasanta His model predicts that TGF-Beta inhibitor pre-treatment is critical for therapeutic success #icbppsocmath http://t.co/5ziWGF025X

@CancerConnector, Sat Feb 28 15:43:50 +0000 2015, via Twitter for iPhone

RT @MathCancer: Next speaker at #icbpsocmath is @dbasanta. An integrated framework to test treatments of PCa bone metastases. Work with @AutumnDude

@CancerConnector, Sat Feb 28 15:44:08 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Baumann it's easy to optimize therapy in a model but the hard part is to build a model worth optimizing #icbppsocmath

@Jenniper_v1, Sat Feb 28 15:44:46 +0000 2015, via Twitter for iPhone

RT @ara_anderson: .@dbasanta His model predicts that TGF-Beta inhibitor pre-treatment is critical for therapeutic success #icbppsocmath http://t.co/5ziWGF025X

@CancerConnector, Sat Feb 28 15:44:54 +0000 2015, via Twitter for iPhone

RT @MathCancer: A great use for fast and simple CA models: rapid testing of hypotheses. Is a treatment idea worthwhile? @dbasanta at #icbppsocmath

@CancerSysBio, Sat Feb 28 15:46:45 +0000 2015, via Twitter for Mac

DB: Great way of building models based on patient data, then use math models to improve outcome. #icbppsocmath #translationalresearch

@MathCancer, Sat Feb 28 15:48:11 +0000 2015, via Twitter Web Client

at #icbppsocmath: @dbasanta has huge system of nonlinear diffusion equations for his secretome. Challenging numerics to do that well.

@MathCancer, Sat Feb 28 16:06:51 +0000 2015, via Twitter Web Client

next up at #icbppsocmath is @lookatphysics. Speaking on criticality landscapes with Bob Austin and friends

@CancerSysBio, Sat Feb 28 16:07:00 +0000 2015, via Twitter for Mac

David Liao: micro-fabricated membrane used to create drug gradient to grow and measure cancer cells. #icbppsocmath

@ara_anderson, Sat Feb 28 16:08:23 +0000 2015, via Twitter for iPhone

.@dbasanta responds to Einsteins simple model quote: Models should be complex but not too complicated! #icbppsocmath @mathonco

@CancerSysBio, Sat Feb 28 16:08:34 +0000 2015, via Twitter for Mac

DL: Now, we're learning about evolutionary game theory - cell populations modeled as a series of differential equations #icbppsocmath

@CancerSysBio, Sat Feb 28 16:08:43 +0000 2015, via Twitter for Mac

RT @ara_anderson: .@dbasanta responds to Einsteins simple model quote: Models should be complex but not too complicated! #icbppsocmath @mathonco

@MathCancer, Sat Feb 28 16:08:47 +0000 2015, via Twitter Web Client

RT @CancerSysBio: David Liao: micro-fabricated membrane used to create drug gradient to grow and measure cancer cells. #icbppsocmath

@rrockne, Sat Feb 28 16:09:14 +0000 2015, via Twitter for iPhone

RT @CancerSysBio: DB: Great way of building models based on patient data, then use math models to improve outcome. #icbppsocmath #translationalresearch

@rrockne, Sat Feb 28 16:11:31 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Baumann it's easy to optimize therapy in a model but the hard part is to build a model worth optimizing #icbppsocmath

@ara_anderson, Sat Feb 28 16:12:48 +0000 2015, via Twitter for iPhone

Princeton PSOC David Liao: Using criticality landscape to develop strategies to control heterogeneity #icbppsocmath http://t.co/Y3RZSdPjnm

@sargoshoe, Sat Feb 28 16:14:29 +0000 2015, via Twitter for Mac

RT @ara_anderson: MIT ICBP @sargoshoe Transcriptionam networks amplify microRNA effects: new expln for microRNA paradox m #icbppsocmath http://t.co/zQGR2BxAIJ

@MathCancer, Sat Feb 28 16:15:57 +0000 2015, via Twitter Web Client

Ugh, looks like I mistyped "#icbpsocmath" for most of @dbsanta's talk. #icbppsocmath

@MathCancer, Sat Feb 28 16:15:57 +0000 2015, via Twitter Web Client

Ugh, looks like I mistyped "#icbpsocmath" for most of @dbsanta's talk. #icbppsocmath

@CancerSysBio, Sat Feb 28 16:21:06 +0000 2015, via Twitter for Mac

DL: Beautiful example of using game theory to interpret drug experimental data. #icbppsocmath

@ara_anderson, Sat Feb 28 16:21:15 +0000 2015, via Twitter for iPhone

Liao shows that high drug and low drug don't commute #icbppsocmath @CancerConnector @D4N__ will agree! http://t.co/kIPYU1m8Rw

@CancerSysBio, Sat Feb 28 16:21:28 +0000 2015, via Twitter for Mac

DL: Brings up major sticking point in math modeling: need to design experiments with model in mind! #icbppsocmath

@CancerConnector, Sat Feb 28 16:22:02 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Liao shows that high drug and low drug don't commute #icbppsocmath @CancerConnector @D4N__ will agree! http://t.co/kIPYU1m8Rw

@cd_fuller, Sat Feb 28 16:22:24 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Liao shows that high drug and low drug don't commute #icbppsocmath @CancerConnector @D4N__ will agree! http://t.co/kIPYU1m8Rw

@MathCancer, Sat Feb 28 16:23:56 +0000 2015, via Twitter Web Client

RT @CancerSysBio: DL: Brings up major sticking point in math modeling: need to design experiments with model in mind! #icbppsocmath

@MathCancer, Sat Feb 28 16:24:32 +0000 2015, via Twitter Web Client

last talk of #icbppsocmath: Mukesh Bansal of Columbia University on analysis of network dysregulation

@CancerSysBio, Sat Feb 28 16:24:33 +0000 2015, via Twitter for Mac

Next up, Mukesh Bansal from Columbia ICBP, trying to find drug mechanism of action #icbppsocmath

@CancerSysBio, Sat Feb 28 16:27:13 +0000 2015, via Twitter for Mac

MB is part of the Califano juggernaut - inferring regulatory networks from gene expression data using mutual information #icbppsocmath

@CancerSysBio, Sat Feb 28 16:29:34 +0000 2015, via Twitter for Mac

Here Bansal uses Kullback Leibler divergence to measure dysregulation of genes upon drug treatment: http://t.co/nrRkuEBiDV #icbppsocmath

@MathCancer, Sat Feb 28 16:31:15 +0000 2015, via Twitter Web Client

RT @CancerSysBio: Here Bansal uses Kullback Leibler divergence to measure dysregulation of genes upon drug treatment: http://t.co/nrRkuEBiDV #icbppsocmath

@CancerSysBio, Sat Feb 28 16:32:15 +0000 2015, via Twitter for Mac

MB claims that "if a gene is a direct target of a drug it will be differentially expressed". How exactly? #icbppsocmath

@ara_anderson, Sat Feb 28 16:35:01 +0000 2015, via Twitter for iPhone

Columbia ICBP Mukesh Bansal presents the DeMAND algorithm #icbppsocmath http://t.co/1ToJ7WYTIM

@USCSysBio_Lab, Sat Feb 28 16:49:44 +0000 2015, via Twitter for Android

RT @MathCancer: Popel showing fantastic VEGFR network & treatment modeling by @USCSysBio_Lab at #icbppsocmath meeting. That work continues at @USCViterbi!

@CancerConnector, Sat Feb 28 17:16:25 +0000 2015, via Twitter for iPhone

RT @MathCancer: next up at #icbppsocmath is @lookatphysics. Speaking on criticality landscapes with Bob Austin and friends

@CancerConnector, Sat Feb 28 17:18:00 +0000 2015, via Twitter for iPhone

RT @CancerSysBio: Here Bansal uses Kullback Leibler divergence to measure dysregulation of genes upon drug treatment: http://t.co/nrRkuEBiDV #icbppsocmath

@ara_anderson, Sat Feb 28 19:17:59 +0000 2015, via Twitter for iPhone

Thanks to all #icbppsocmath attendees for making that a great meeting! It been a packed 2 days but lots of fun! http://t.co/km0h3s23e4

@gliomath, Sat Feb 28 19:18:18 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Thanks to all #icbppsocmath attendees for making that a great meeting! It been a packed 2 days but lots of fun! http://t.co/km0h3s23e4

@MathCancer, Sat Feb 28 19:39:33 +0000 2015, via Twitter for Android

RT @ara_anderson: Thanks to all #icbppsocmath attendees for making that a great meeting! It been a packed 2 days but lots of fun! http://t.co/km0h3s23e4

@theheikman, Sat Feb 28 19:42:17 +0000 2015, via Twitter for iPhone

RT @ara_anderson: Thanks to all #icbppsocmath attendees for making that a great meeting! It been a packed 2 days but lots of fun! http://t.co/km0h3s23e4

@lookatphysics, Sat Feb 28 19:53:31 +0000 2015, via Twitter Web Client

RT @MathCancer: next up at #icbppsocmath is @lookatphysics. Speaking on criticality landscapes with Bob Austin and friends

@lookatphysics, Sat Feb 28 19:56:35 +0000 2015, via Twitter Web Client

RT @ara_anderson: Thanks to all #icbppsocmath attendees for making that a great meeting! It been a packed 2 days but lots of fun! http://t.co/km0h3s23e4

@lookatphysics, Sat Feb 28 19:58:20 +0000 2015, via Twitter Web Client

RT @MathCancer: Baumann's model says "drug holiday" can reset system, open new window of drug effectiveness. Interesting idea! #icbppsocmath

@robjohnnoble, Sat Feb 28 20:56:37 +0000 2015, via Twitter for Android

RT @ara_anderson: Baumann it's easy to optimize therapy in a model but the hard part is to build a model worth optimizing #icbppsocmath

@tristanasharp, Sun Mar 01 05:42:58 +0000 2015, via Twitter Web Client

RT @MathCancer: next up at #icbppsocmath is @lookatphysics. Speaking on criticality landscapes with Bob Austin and friends