Publications

Trade-offs in concentration sensing in dynamic environments

Published in Biophysical Journal, 2024

We model a eukaryotic cell sensing a chemical secreted from bacteria and develop analytical calculations and stochastic simulations of sensing in this environment. We find that cells can have a huge variety of optimal sensing strategies ranging from not time averaging at all to averaging over an arbitrarily long time or having a finite optimal averaging time.

Recommended citation: Kashyap A, Wang W, Camley BA. Trade-offs in concentration sensing in dynamic environments. Biophysical Journal, 123(10). May 2024. 10.1016/j.bpj.2024.03.025 https://www.cell.com/biophysj/fulltext/S0006-3495(24)00205-4

Using machine learning on clinical data to identify unexpected patterns in groups of COVID-19 patients

Published in Nature Scientific Reports, 2023

We leverage JH-CROWN: The COVID Precision Medicine Analytics Platform Registry to identify subgroups of COVID-19 patients who are at high risks for severe disease progression.

Recommended citation: Cowley HP, Robinette MS, Matelsky JK, Xenes D, Kashyap A., Ibrahim NF, Robinson ML, Zeger S, Garibaldi BT, Gray-Roncal W. Using machine learning on clinical data to identify unexpected patterns in groups of covid-19 patients. Scientific Reports, 13(1). February 2023. https://doi.org/10.1038/s41598-022-26294-9 https://www.nature.com/articles/s41598-022-26294-9