Top Tweets for #pson2016
Sun shows the stochastic model of cell cycle environment response #PSON2016
Cell cycle times are Ergodic ie a single cell can recover the diversity of the entire population #PSON2016
Finally, Sean X. Sun: Role of stochastic noise & phenotypic heterogeneity in cell evolution & fitness #PSON2016
Happy to see so much excellent math modeling at #PSON2016 by @MultiCellDS members @gliomath, @ara_anderson and others. Great job!
Xavier summaries the importance of metabolites and macrophage behaviour #PSON2016
The Equations of Cancer #PSON2016: Swanson's building a computational tool for better patient-specific brain cancer treatment decisions.
Xavier shows how gradients in metabolites can cause macrophage localisation at tumour edge #PSON2016
Next it's Joao Xavier: Ecology in the cancer microenvironment: finding the weakest link #PSON2016
#BLACKandSTEM @NCIPhySci #PSON2016
The Jackson Cancer Modeling Group at @umichLSA
https://t.co/WPAAYOjjqh
My #TEDx talk is available for viewing: "Every cancer patient deserves their own equation" #mathonco @TEDxUChicago
http://t.co/Ub3BI0ZXgU
Next Andrew J. Spakowitz: Physical modelling of the organisation & dynamics of chromosomal DNA #PSON2016
Next it's Leonid Mirny: Physics of genome folding #PSON2016
@AnyaBurkart It's an O(n^2) problem: n labs can't keep up with work by n-1 labs. (1/2) #PSON2016 #NCIPhySci https://t.co/dUYzDeLRyO
One cancer paper is published every 206 sec. How can we keep up? #PSON2016
One cancer paper is published every 206 sec. How can we keep up? #PSON2016
Huang makes an analogy with curving a soccer ball & acoustic tweezer manipulation #PSON2016
Liphardt shows a cool image of a time collapsed movie of organoids moving & interacting #PSON2016
NOW at @NCIPhySci #PSON2016
Acoustic separation of circulating tumor cells
@TonyJunHuang
@PSUESM Acoustofluidics Lab
https://t.co/NQicIVfN6n
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