This study provides a valuable mapping of how genomic variation from a large collection of Klebsiella pneumoniae clinical isolates shapes bacterial fitness across 214 conditions. Solid data describe ...
This project builds a multi-class disease classifier using symptom data. The trained model can predict the most likely disease given a set of symptoms and return a recommended treatment, dynamically ...
A machine learning REST API that predicts the presence of heart disease from 13 clinical measurements, built with FastAPI, containerized with Docker and deployed on Render. Heart disease is one of the ...
This release provides the BREST-AI 16-bit, four-view model developed at the University of Warwick with NHS and academic collaborators. It estimates an examination-level three-year risk score from a ...
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