In #GENETICS, @srishtipatil.bsky.social, @robjohnnoble.bsky.social, and colleagues present a theoretical framework to determine how to exploit the vulnerability of small tumours to stochastic extinction and the optimal time to switch treatments. buff.ly/HDhvCEN

Now free to read in Genetics (@genetics-gsa.bsky.social): "Preventing evolutionary rescue in cancer using two-strike therapy" #mathonco study by @srishtipatil.bsky.social, @armaanahmed.bsky.social, Yannick Viossat and me, determining the optimal time to switch treatments. doi.org/10.1093/gene...

In the latest from the lab (www.biorxiv.org/content/10.1...), PhD student Amjad Dabi used simulation to investigate the emergence of resistance to therapy in cancer under an evolutionary rescue model. Why does treatment for some cancers fail after a period of initial effectiveness? (1/n)

New preprint! When I started in #mathonco and cancer #evobio, I had to teach myself computational modelling from paper methods sections. Many things I learned only by years of trial and error. To make it easier for others, we present a non-technical step by step guide. arxiv.org/abs/2311.03569. 1/2