RTs much appreciated... would love to reach both AMR and biomath folks! "Evolutionary accumulation modelling in AMR: machine learning to infer and predict evolutionary dynamics of multi-drug resistance" arxiv.org/abs/2411.00219 We think EvAM methods have some potential in AMR. 🧵 - ThreadSky

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mitomaths.bsky.social • 92 days ago

RTs much appreciated... would love to reach both AMR and biomath folks!
"Evolutionary accumulation modelling in AMR: machine learning to infer and predict evolutionary dynamics of multi-drug resistance"
https://arxiv.org/abs/2411.00219
We think EvAM methods have some potential in AMR. 🧵

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mitomaths.bsky.social•92 days ago

Evolutionary accumulation models (EvAM) are a class of machine learning methods which infer and predict how systems acquire features over time. Could be mutations in tumours, symptoms in disease, or drug resistances in MDR. https://arxiv.org/abs/2312.06824 2/

mitomaths.bsky.social•92 days ago

EvAM approaches can learn the ordering of resistance acquisitionsᵇ from dataᵃ -- but also which resistance features influence which othersᵈ, what will likely happen in futureᶜ, likely values of unobserved features, differences in evolution between regionsᵉ, and more. 3/

mitomaths.bsky.social•92 days ago

In this perspective we demonstrate some of these inferences with a couple of methods, and link to many more which provide additional insights. Strengths and weaknesses discussed! There's some simple example code for a tuberculosis MDR example here https://github.com/StochasticBiology/EvAM-MDR . 4/

mitomaths.bsky.social•92 days ago

We'd love to hear thoughts from the #AMR and #biomaths communities (and any others!) -- particularly on whether these approaches/insights could be useful for your basic science / translational applications. Thanks for reading! 5/5

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