Modeling the extracellular matrix in cell migration and morphogenesis: A guide for the curious biologist

no code implementations • 19 Dec 2023 • Rebecca M. Crossley, Samuel Johnson, Erika Tsingos, Zoe Bell, Massimiliano Berardi, Margherita Botticelli, Quirine J. S. Braat, John Metzcar, Marco Ruscone, Yuan Yin, Robyn Shuttleworth

The extracellular matrix (ECM) is a highly complex structure through which biochemical and mechanical signals are transmitted.

A review of mechanistic learning in mathematical oncology

no code implementations • 12 Dec 2023 • John Metzcar, Catherine R. Jutzeler, Paul Macklin, Alvaro Köhn-Luque, Sarah C. Brüningk

This review aims to capture the current state of the field and provide a perspective on how mechanistic learning may further progress in mathematical oncology.

Accelerated solving of coupled, non-linear ODEs through LSTM-AI

no code implementations • 11 Sep 2020 • Camila Faccini de Lima, Juliano Ferrari Gianlupi, John Metzcar, Juliette Zerick

The present project aims to use machine learning, specifically neural networks (NN), to learn the trajectories of a set of coupled ordinary differential equations (ODEs) and decrease compute times for obtaining ODE solutions by using this surragate model.

Time Series Time Series Analysis