The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
AHA/ASA Journals

Coronary Atherosclerosis in Patients With Cancer and Survivors: A Scientific Statement From the American Heart Association

There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...
IEEE

Integrating Protein-Protein Interaction Networks and Machine Learning for Drug Target Identification

Abstract: In this study, we combined the STRING dataset of mouse protein-protein interactions (PPIs) with a customdeveloped algorithm designed for simulation and analysis. By utilizing this approach, ...
IEEE

Enhancing Proactive Patient Outreach With Medical Message Classification Using Synthetic Data from ChatGPT

Abstract: The increasing demand for proactive patient out-reach and follow-up within health insurance providers and large hospital systems has led to the adoption of automated message classification ...