Big Data Summit 2020 | MACHINE LEARNING AND MODELING FOR TUMOR TREATMENTS
Channel: Illinois Research Park
Date: 2020-12-22

SimBioSys has developed the TumorScope, a software that combines machine learning and mechanic models to predict the response of tumors to chemotherapies on a patient-by-patient basis. The models span a range of spatial timescales, temporal timescales, patient-to-patient variabilities in tumor morphology, blood and nutrient perfusion, metabolic capabilities, tumor-host interactions, and drug sensitivities. By simulating the response of each patient to several different treatment options, physicians can make better-informed decisions on which regimens their patients need.

John Cole is a theoretical biophysicist working primarily on models of the tumor microenvironment. John currently serves as the Chief Science Officer at SimBioSys, Inc. where he leads day-to-day research and developments. As co-founder of SimBioSys, he has drawn from fields as diverse as systems biology, chemical kinetics, machine learning, and continuum mechanics in order to construct computational models of growing tumors and their response to drug treatment. As a graduate student he was the first to develop and implement a 3D spatially-resolved flux balance analysis methodology, and has made contributions to the field of stochastic biophysics. 

To learn more about the Big Data Summit, visit: https://researchpark.illinois.edu/events/big-data/