| Tweet Index |
Tweet Score |
Tweet | |
|---|---|---|---|
| 140 | 160 | Maini: to get neural crest collective migration, models need leader and follower cell populations. Not just external signals. #smb2017 | |
| 622 | 149 | .@thillen17: classical reaction-diffusion cancer model only works if cell transport and birth are at diff., decoupled time scales #smb2017 | |
| 131 | 147 | Winfree Prize recipient, Philip Maini presents "Modeling Collective Cell Movement" #smb2017 | |
| 128 | 127 | Afternoon #smb2017 plenary lecture: Philip Maini - "Modeling Collective Cell Movement" | |
| 596 | 125 | #smb2017 The best tweeter award winners! Paul Macklin, Courtney Davis, Joshua Bull, Keith Grant, Drew Williamson, Fergus Cooper. | |
| 377 | 115 | Hodgkinson: Use a PDE model: flux in space, flux in structure (here a resistance axis). 5 PDEs here: cells, ECM, 2 drugs, substrate #smb2017 | |
| 151 | 112 | Maini makes a great point: when a math model is wrong, or doesn't agree with data, you learn something. Wrong is ex… https://t.co/5PBCECXn9u | |
| 130 | 110 | Next up is Philip Maini, giving his prize talk on collective cell migration. Important in neural crest migration, angiogenesis. #smb2017 | |
| 490 | 107 | Meredith Greer: Math modeling courses are an opportunity for students to learn work happening now by diverse authors. #SMB2017 | |
| 637 | 107 | Koehl: fast velocities inside waves only lead to a slow net transport shoreward...what impact does this have on larvae in reefs? #SMB2017 | |
| 170 | 106 | Philip Maini presents work from @AlexGFletcher comparing models of epithelia. "We've become biologists; diff. answe… https://t.co/4ECCtjyJ0b | |
| 135 | 100 | Maini - looking, via agent-based modeling, between cell attraction & repulsion. Can result in pattern development. #smb2017 | |
| 175 | 100 | When modeling, "you always have to be careful to read [and state] the conclusions based on the assumptions made." Philip Maini #SMB2017 | |
| 143 | 97 | Maini: experiments indeed validated the two-population (leaders / followers) prediction of the math models. #smb2017 | |
| 504 | 97 | .@adrianne_jenner: then models virus transmission in this framework. Dead cells need some time to shrink before releasing virus #smb2017 | |
| 346 | 96 | Day 3 of #SMB2017 opens with Marissa Baskett - "Modeling the drivers of coral response to climate change fr genes to communities." #climate | |
| 3 | 95 | Attending #uofu Mathematical Biology Alumni Conference this weekend & #SMB2017 Exciting days of cutting edge math modeling ahead 😎👊🏻☕️☕️ | |
| 172 | 94 | @AlexGFletcher @SMB_MathBiology Enjoying great talks so far, inc Philip Maini's prize lecture about model choice wi… https://t.co/GgoJbRrZNZ | |
| 266 | 94 | My mentee @adrianne_jenner talks this morning on modeling flu viruses as cancer treatments at 10:50 am MS16 #smb2017 https://t.co/JsDVgoV2xk | |
| 183 | 93 | James Glazier modeling liver toxicology at the sinusoid scale in MS10 liver session (Alpine room) at #smb2017 https://t.co/Up5CIACyr6 | |
| 195 | 93 | Glazier: now starting to model flow in connected liver sinusoids built from in vivo flow imaging MS10 #SMB2017 | |
| 45 | 92 | Follow #SMB2017 this week. This is the Annual Meeting for the Society for Mathematical Biology (@SMB_MathBiology). Fantastic math bio work! | |
| 349 | 91 | Baskett - Coral bleaching assoc with high temps often in El Nino years. Difficulty in building Ca backbone w carbonic acid. #SMB2017 | |
| 659 | 90 | Great talk by @VectorBiTE_RCN PI Leah Johnson on using math & stat models + data to tackle vector born disease like… https://t.co/lEkXS5rP0N | |
| 160 | 89 | Maini: @ara_anderson and @mcapellanus did great work turning continuum model into discrete angiogenesis model. #smb2017 | |
| 584 | 89 | Key finding: a larger infective radius = higher peak of number of infections #SMB2017 SIR models w/spatial diffusion #maths #mathbio #math | |
| 629 | 89 | Last plenary talk at #smb2017. Mimi Koehl. Moving trhough a turbulent environment: Embedding models in real world data. | |
| 370 | 88 | Awesome talk by Marissa Baskett on modeling resistant and resilient coral systems' coexistence in the face of clima… https://t.co/p3x3zGPTSk | |
| 292 | 87 | My question for .@adrianne_jenner: model assumes constant rate of virus replication. Can the rate vary? (e.g., infected by 2 virii) #smb2017 | |
| 436 | 87 | 4 @UUtah Students receiving poster awards at @smb2017 + Prof. Jim 'kdawg' Keener winning the Education Prize. Utah #mathbio 👏🏼🏆💁🏻#SMB2017 | |
| 76 | 85 | .@mcapellanus: Shows work with D. Schlatterer on agent-based models of cell migration in ECM fibers. Cells realign fibers. #smb2017 | |
| 641 | 85 | Koehl: Hawaiian flow experiment Large yellow dye relase. Group of scientists onshore. tourist boat goes by #smb2017 | |
| 317 | 84 | @ Alpine Room, Guest House; Heidi Dritschel modelling cancer induced T-cell exhaustion #SMB2017 | |
| 147 | 83 | "Using experiments in a chick to mimic a human is ~ as abstract as using a math model to mimic a human. We are all modelers." Maini #SMB2017 | |
| 597 | 83 | Shahriyari: chronic inflammation could lead to immune cell adaptation, causing higher levels of proliferative signalling #SMB2017 | |
| 186 | 82 | James Glazier - Acetaminophen has a very low effectiv e-dose to fatal-dose ration.Liely would be banned apart fr political reasons. #smb2017 | |
| 362 | 82 | Baskett: Two species model - more resistant coral vs more resilient coral (growth & recruit) vs macro-algae. #smb2017 | |
| 599 | 82 | Shahriyari: says that chronic inflammation can eventually adapt distant primary cells to down-reg TSGs, grow as new "mets" #smb2017 | |
| 168 | 81 | Maini work with @AlexGFletcher et al: major problem that many models of same epithelial sheets can give very different results. #smb2017 | |
| 414 | 81 | John Nagy shows how his multi-scale model can help predict castration resistance in prostate cancer. #SMB2017 https://t.co/JyuwxPxzvl | |
| 275 | 80 | Kim: GBM recurs, and large part is due to cell migration within the brain. Looks at role of tumor microenvironment (TME) in this. #smb2017 | |
| 647 | 80 | Baratchart: Build a model of macrophage plasticity in homeostasis, then add cancer dynamics after this #SMB2017 | |
| 293 | 79 | .@adrianne_jenner: Now, uses models to analyze experiments that remove viral proteins, look at impact on virus efficacy #smb2017 | |
| 334 | 79 | Congratulations to @WCMBlog's own Philip Maini on receiving the Winfree Prize from @SMB_MathBiology at #SMB2017. A well-deserved honor! | |
| 121 | 77 | Metzcar - coupling environment model with a tumor moddel. Cell movement, growtth, and death. #smb2017 | |
| 285 | 77 | .@adrianne_jenner: Can a genetically engineered virus be used to fight cancer? starts w viral replication process. #smb2017 | |
| 132 | 76 | Maini: Math models can show what's impossible, what could happen, but experiments can verify which of those does happen. #smb2017 | |
| 139 | 76 | Great talk by Philip Maini on collective cell migration at the SMB annual meeting #SMB2017 #Utah @JenniferOwen123 https://t.co/tMzRNfYAAH | |
| 141 | 76 | Maini - Diffusion didn't work. Neither did VEGF as a chemical attractant. Leader/Follower (2 types) more promising. #SMB2017 | |
| 252 | 75 | #smb2017 day 2 kicks off with plenary talk by Atsushi Mochizuki, insights into complex systems based on dynamic network structure | |
| 278 | 75 | Kim discusses the crucial role of tumor microenvironment in altering macrophage phenotype - some great work on this at #smb2017 this year! | |
| 375 | 75 | Arran Hodgkinson in CS9: developing a spatial, phenotype-structured model of resistance. Improvement over discrete states. #smb2017 | |
| 298 | 74 | Next up is Khaphetsi Joseph Mahasa on modeling oncolytic potency, reduced viral tumor specificity in virotherapy. #smb2017 | |
| 401 | 74 | Judy Day's model of pathogen / pro-inflammation / damage / anti-inflammation (ODE system) can show healthy & aseptic death outcomes #smb2017 | |
| 435 | 74 | Jim Keener received John Jungck Award for Excellence in Education. Absolutely deserving. He changed our lives. Go,… https://t.co/XUjBWPb3Vo | |
| 255 | 73 | Atsushi Mochizuki kicks off Tuesday's programme with his plenary talk on modelling complex networks #SMB2017 | |
| 446 | 73 | Finley: non-spatial compartment model (tissue) with 130 ODE's. Sampling of parameter distributions to gain output distribution. #smb2017 | |
| 228 | 72 | Mumenthaler shows automated high throughput system for image recognition involving machine learning classifiers - cool stuff! #SMB2017 | |
| 389 | 72 | Susan Massey takes to the stage here in the City Creek Cancer session now, with a model of proneural gliomas #smb2017 | |
| 654 | 72 | Baratchart: estimates parameters for homeostasis; uses ODE modelling to test hypotheses regarding monocyte differentiation into MPs #SMB2017 | |
| 149 | 71 | Great to see Philip Maini explain the work of my former office mate @LinusSchumacher in his Winfree prize talk at #SMB2017 | |
| 150 | 71 | #SMB2017 "All models are wrong but wrong models is when you learn!"- Philip Maini #truth | |
| 152 | 71 | "Nearly all models are wrong. And when they're wrong is when it's fun!" Philip Maini #SMB2017 | |
| 270 | 71 | I'm in MS16 this morning. First up is Yangjin Kim, on his cancer modeling work. Much of it with Hans Othmer. #smb2017 | |
| 176 | 70 | Packed house for Winfree prize winner Prof Philip Maini @OxUniMaths #SMB2017 @SantiagoSchnell introducing https://t.co/Zq9hF7bXtP | |
| 32 | 69 | I will speak on cm^2 agent-based models of liver metastases using #PhysiCell. #SMB2017 4/7 MS10 on Mon. afternoon https://t.co/inFpxbLbJ5 | |
| 146 | 69 | Maini - It's more exciting when your model doesn't agree with experiment ; It means there's more to learn. #smb2017 | |
| 158 | 69 | Maini: old work by McElwain (1985) Leah Edelstein (1982) had PDEs for tip, sprout cells, and phenotype switching. #smb2017 | |
| 161 | 69 | Maini: BUT, turning discrete back into PDE model doesn't match. Leads to new models. #smb2017 | |
| 570 | 69 | Leah Johnson: Combining tactical and strattegic approaches to predict vector-borne diseases. #smb2017 | |
| 572 | 69 | Next up: Leah Johnson on "Combining tactical & strategic approaches to predict vector-borne disease" #SMB2017… https://t.co/GpPRWK4rey | |
| 107 | 68 | @DIYOzzy begins the first talk featuring @Chaste_Project at #SMB2017 with his work on multicellular modelling of colorectal cancer | |
| 613 | 68 | Walker: local treatment can induce rapid non-local outgrowth. And radiation therapy can change state of non-local mets. #smb2017 | |
| 621 | 68 | Closing out #SMB2017 with my talk "Optimal fishery harvesting modeling the effects of habitat degradation." today at 4:45, City Creek Room. | |
| 640 | 68 | Koehl: shows PLIF images (Planar laser induced fluorescence) showing a 1mm slice through a cloud of dye - really cool imaging! #SMB2017 | |
| 290 | 67 | .@adrianne_jenner: shows a nice system of ODEs (with the prob distributions) for number of cells replicating virus, etc. #smb2017 | |
| 505 | 67 | .@adrianne_jenner: Nice finding, increase virus dosage, don't get better response. Unlike ODE systems, it's not well-mixed! #smb2017 | |
| 67 | 66 | .@mcapellanus: Kobayashi (not Maru) not just a training scenario to wreak havoc on Star Fleet cadets. Great Hes1 data source. :-) #smb2017 | |
| 190 | 66 | Glacier perturbs a reference simulation to model Tylenol metabolism in a pop of 1000 virtual patients. Outliers eme… https://t.co/mfdIzkloP0 | |
| 118 | 65 | John Metzcar - The role of hypoxia in tumor development. Main focus on breast cancer. #smb2017 | |
| 181 | 65 | Macklin - Liver cells are mechano-sensitive. Flow can affect phenotype. Perfusion affects organized tissue or "liverwurst". #smb2017 | |
| 546 | 64 | Plenary talk for last morning of #smb2017. Jonathan Dushoff, "Epedemic strength and speed: rethinking metrics for disease spread & control" | |
| 561 | 64 | #SMB2017 mini symposium on "Confronting models w/ data" starting now with Juan Gutierrez @smb2017 https://t.co/z6PopLRt8o | |
| 619 | 64 | The final talk of the session comes from @thillen17, on the use of non-local birth-jump processes to model cancer spread #smb2017 | |
| 638 | 64 | Koehl: "Large organism chauvinist pigs" look at flow at large scale - we need to consider flow on the scale of microscopic larvae! #SMB2017 | |
| 57 | 63 | @mcapellanus kicks off #SMB2017 with a plenary talk on modelling cancer at multiple scales | |
| 361 | 63 | Marissa Baskett illustrates the tension between resistant and resilient populations in surviving environmental chan… https://t.co/cxztq168mS | |
| 271 | 62 | Kim: Working on glioblastoma multiforme (GBM), an aggressive brain cancer well known to @gliomath and @rrockne. ~1 yr survival time #smb2017 | |
| 393 | 62 | Susan Massey showing a PDE model for PDGF driven GBM. #abbvs Part of her PhD work with @gliomath #SMB2017 https://t.co/6l42LdKvm0 | |
| 402 | 62 | In Day's model, "aseptic death" is where pathogen is eliminated, but inflammation and tissue damage grow. #smb2017 | |
| 116 | 61 | ...aaand a dash outside to the Officer's Club for John Burke on clinical uses of modelling. Utah is seriously, seriously hot! #smb2017 | |
| 254 | 61 | Mochizuki - Studying biological network dynamics. #SMB2017 Structural theories. Linkage logic, rate constants. | |
| 363 | 61 | Baskett: Resilient coral - faster growth and greater basin of attraction vs macro-algae. #smb2017 | |
| 462 | 61 | First talk, Gary An "High-Performance computing-augmented use and analysis of Agent-based Models.. new math for biology." #SMB2017 | |
| 463 | 61 | #SMB2017 heterogeneity in disease transm session is on! my invited talk is on weekend/holiday's impact on flu spread, work w/ @HensNiel lab | |
| 590 | 61 | Lowengrub: nondimensional analysis of a mechanistic model gives new image analysis biomarkers for PDAC. Complements molec markers #smb2017 | |
| 81 | 60 | .@mcapellanus kicks off #SMB2017 with models at all scales of cancer growth and development https://t.co/cY8hgzQcVQ | |
| 122 | 60 | John Metzcar of the @MathCancer lab at @IUBloomington is currently showing model of the effect of hypoxia during tumor metastasis #SMB2017 | |
| 268 | 60 | Session on Data Science at #smb2017 leads off with Lindsay Keegan "Using correlated provinces to Predict Dengue incidence in Thailand". | |
| 417 | 60 | .@NaraYoon12: how can we choose the order of multiple drug treatments to avoid resistance? Highly clinically relevant question! #smb2017 | |
| 483 | 60 | honored to receive Leah Edelstein-Keshet prize from @SMB_MathBiology and give an award talk in front of amazing math biologists! #smb2017 | |
| 501 | 60 | .@adrianne_jenner: Works with a Voronoi cell-based model. Delaunay triangulation helps you find neighbors. #smb2017 | |
| 634 | 60 | last plenary session by Mimi Koehl from @UCBerkeley - movement of microscopic organisms in real-world (turbulent) environments #smb2017 | |
| 642 | 60 | Koehl Slug larvae flow passively with water flow but sink in response to coral scent #smb2017 | |
| 227 | 59 | Mumenthaler: integrating machine learning with the microscopy platform for automatic cell segmentation and identification. Neat! #smb2017 | |
| 250 | 59 | Inmunobiology & Infection Subgroup mixer at lunch today. 12:30pm in Officers Club West. #SMB2017 | |
| 354 | 59 | Baskett: Calculate population growth factor as f(phenotype). Add evolution of phenotype as climate response. #smb2017 | |
| 555 | 59 | "Generation times look shorter at beginning of an epidemic." Jonathan Dushoff #SMB2017 Is this corrected when modeling real-time outbreaks? | |
| 52 | 58 | Mark Chaplain (@mcapellanus) now kicking off his plenary. Will speak about multiscale modeling of cancer. #smb2017 | |
| 72 | 58 | .@mcapellanus moves up a scale from gene transcription dynamics to focus on individual-based, force-based models of tumour growth #smb2017 | |
| 366 | 58 | Marissa Baskett: "Competitor-enabled rescue effect & enhanced community resilience in coral": coral are stronger together. #SMB2017 | |
| 496 | 58 | Gevertz: problem for original "optimal" treatment, based on data that turned out to be close to a bifurcation point! #smb2017 | |
| 222 | 57 | Mumenthaler: many biomemetic models available now to study cancer. A range of complexity, cost, realism. #smb2017 | |
| 316 | 57 | Last talk: Evans Afenya (@ElmhurstCollege) on math modeling in cancer prevention and treatment #smb2017 | |
| 558 | 57 | At session M33 of #smb2017 : Confronting biological models with data : dealing with complexity & sparsity 1. | |
| 620 | 57 | Last talk this morning is @thillen17! On modeling cancer spread with non-local birth-jump processes. #smb2017 | |
| 154 | 56 | Now Maini moves on to angiogenesis modeling with Helen Byrne and Samara Pallay. #smb2017 | |
| 167 | 56 | Maini - Running different models on cell sorting due to different adhesions. #smb2017 | |
| 369 | 56 | Conclusions from M. Baskett @smb2017 We rely on the power of parameters + sensitivity analysis for management when data is limited #SMB2017 | |
| 381 | 56 | Hodgkinson: fate of tumour is dependent on degree of heterogeneity at start of treatment - more heterogeneity implies resistance! #smb2017 | |
| 595 | 56 | Shahriyari: May be that not all metastases arise from circulating tumor cells (CTCs). Now discussing chronic inflammation. #smb2017 | |
| 615 | 56 | Walker calls out @JPoleszczuk for critical work calculating blood flow, estimating which T-cells arrive at each site in metastasis #smb2017 | |
| 5 | 55 | To save #SMB2017 folks the look-up: At airport, light rail (TRAX) at Terminal 1 end. Transfer Courthouse. Red to U.… https://t.co/07DP8Z1ZqW | |
| 54 | 55 | "modeling cancer at multiple scales" by @mcapellanus, wonderful way to start off #smb2017 | |
| 77 | 55 | .@mcapellanus agent-based model: stiffness and alignment both important for cell motion in interactions with matrix #SMB2017 | |
| 156 | 55 | Maini: using a very old "snail trail" conceptual model, was also a leader-follower type of phenomenon. #smb2017 | |
| 166 | 55 | ChasteWatch 2017: Maini discusses comparison of models with @DIYOzzy, @AlexGFletcher, Gavaghan, Pitt-Francis @Chaste_Project #SMB2017 | |
| 245 | 55 | Developmental biology subgroup mixer at lunch today: Commanders Office Den. Hope to see you there! #SMB2017 | |
| 448 | 55 | @USCSysBio_Lab: math model can explain why some heavily-pursued TSP1 mimetics don't pan out in trials. #smb2017 | |
| 500 | 55 | Next up: @adrianne_jenner (my SMB mentee!) on impact of tumor pressure on outcome of cancer treatments. #smb2017 | |
| 627 | 55 | @thillen17: Birth-jump models form new class of non-local continuum models. Open Q: how do they act in spatially explicit contexts? #smb2017 | |
| 65 | 54 | .@mcapellanus: prior models (2-ODEs): no oscillations in well-mixed ODE models. Need to introduce delays to match real world. #smb2017 | |
| 113 | 54 | Raluca Eftimie highlights the need for data distinguishing between M1 and M2 macrophages to tune models of oncolyti… https://t.co/zuG2SdDmpB | |
| 459 | 54 | @USCSysBio_Lab: most predictive anti-VEGF response marker is a parameter describing exponential-to-logistic growth transition. #smb2017 | |
| 666 | 54 | #SMB2017: Final speaker of "Confronting Biological Models with Data" is Dean Koch @smb2017 https://t.co/Oza3w4D4PV | |
| 11 | 53 | @EnderlingLab will be represented at #SMB2017 by @santiadn (oncolytic virus), Rachel Walker (systemic immunity) & Tom Lewin (radiotherapy) | |
| 134 | 53 | Maini - Cells don't stay put, they move to where they will function. Understanding normal development can help w cancer. #smb2017 | |
| 17 | 52 | Missing #SMB2017 this year. Wishing lots of fun and exciting science to all @SMB_MathBiology friends and colleagues at @UUtah this year | |
| 101 | 52 | Athens - A discrete stochastic model to simulate the multistep transformation to cancer. #SMB2017 | |
| 396 | 52 | Susan Massey's model shows the importance of early treatment of gliomas with non-competitive PDGF-inhibitors > comp… https://t.co/v4pYDv6DN3 | |
| 413 | 52 | Nagy: evolution vs plasticity isn't enough - to understand resistance, must investigate evolution of cells with a plastic phenotype #smb2017 | |
| 559 | 52 | First session talk: Juan Gutierrez - "Modeling across scales: From data sparsity to data overload." #smb2017 | |
| 133 | 51 | Maini: notes that neural crest work is with @ruth_baker, Kay, McLennan, Dyson, @LinusSchumacher. #smb2017 | |
| 202 | 51 | Omar Saucedo from @mbi_osu combines graph theory and dynamical systems to model Zika transmission. #SMB2017 https://t.co/sD3ay40P2d | |
| 364 | 51 | Baskett: Synergy between two coral types in holding off macro-algae. "competitor enabled rescue effect". #smb2017 | |
| 442 | 51 | Time for the first ever Leah Edelstein-Keshet prize talk, the plenary session from @USCSysBio_Lab on angiogenesis in breast cancer #SMB2017 | |
| 455 | 51 | Finley: Can we use the model with only data before any drug is given to predict response to treatment? #smb2017 | |
| 679 | 51 | Stay tuned for some #SMB2017 tweets too! There were many wonderful talks, but our (main) webmaster stuck to SI, SIR & SEIR models! 😉 | |
| 4 | 50 | Onward to *UT Math Bio reunion *#SMB2017 *SURB final week (while away) *#MathFest2017 It's going to be a great couple of weeks in math bio! | |
| 39 | 50 | @iusoic We have space and rolling admissions for great students in the bio track, w heavy computational modeling component! (2/3) #smb2017 | |
| 74 | 50 | Delighted to encounter hes1oscillations in Mark Chaplains opening talk at #SMB2017 @PapalopuluLab - delays emerge from spatial interactions | |
| 96 | 50 | Chaplain (earlier) - Spatial movement of molecules important to oscillations without adding delay. Then add stochasticity. #smb2017 | |
| 163 | 50 | Maini: mean-field assumption seems to be where much discrete-continuum model matching seems to break down. #smb2017 | |
| 295 | 50 | A nice presentation by @adrianne_jenner on using flu viruses to treat tumors - and ending with a plug for @SMB2018!!! #SMB2017 | |
| 347 | 50 | We're changing gears for this morning's plenary session here at #smb2017 - Marissa Baskett starts the day with ecological modelling | |
| 380 | 50 | Mark Alber starts by discussing the challenges of modelling multicellular tissue development. #smb2017 https://t.co/8qqgVQhJcu | |
| 390 | 50 | .@mathematista avoids knockout models because they often don't just knock out *one* thing. Instead varies level/time of coinfection #smb2017 | |
| 502 | 50 | .@adrianne_jenner: Does a nice job of using Hooke's law to generate a pressure that moves cells around. #smb2017 | |
| 563 | 50 | Hannan: what is the impact of surgery on breast cancer metastasis? Presents data from cohort of 673 patients treated by surgery #SMB2017 | |
| 652 | 50 | "Save a newt; eat a crayfish!" City Creek Room at 3:45-4 in the Ecological Dynamics section. #SMB2017 https://t.co/ABdbMcbeRy |