Research and innovation in Texas A&M University's biomedical engineering department often centers around clinical impact on ...
Abstract: We investigate the feasibility of deriving surrogate ordinary differential equations (ODEs) from individual-based models (IBMs) simulated in the PhysiCell platform. As a preliminary ...
Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study ...
Abstract: Adopting Model-Based Development (MBD) in automotive software becomes necessary because it provides a rigorous development process. As the increase in the number of software components (SWCs ...