24 citations · 28 across the 3 of their papers we have counts for
3 papers · 1 filter
MarkerScout: A Disease-Agnostic Machine Learning Framework for Biomarker Prediction from Multi-Scale Mechanistic Models
Robert Moore, Frank Agayie-Ntim, Lindsey B. Crawford +5
We demonstrate the framework on three infectious diseases derived from a companion mechanistic immune-simulation platform: SARS-CoV-2, Influenza A Virus, and Plasmodium falciparum.…
From FAIR to CURE: Guidelines for Computational Models of Biological Systems
Herbert M. Sauro, Eran Agmon, Michael L. Blinov +48
Guidelines for managing scientific data have been established under the FAIR principles requiring that data be Findable, Accessible, Interoperable, and Reusable. In many scientific…
Forum on immune digital twins: a meeting report
Reinhard Laubenbacher, Fred Adler, Gary An +16
Medical digital twins are computational models of human biology relevant to a given medical condition, which can be tailored to an individual patient, thereby predicting the course…