Predictive AI Thrives, Despite GenAI Stealing The Spotlight

GenAI and predictive AI battle for resources, but even as the overwhelming attention focuses on genAI, enterprises are still ...
AHA/ASA Journals

Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
IEEE

Predictive Modeling of Drug Release from Liposomal Nano-Anticancer Drugs Using Advanced Machine Learning Techniques and TreeSHAP for Interpretability

Abstract: Background: Accurately predicting drug release from liposomal nano-anticancer drugs is crucial for optimizing therapeutic efficacy and patient compliance. Traditional release kinetics models ...
IEEE

LLM-Guided Distributed Model Predictive Control for Decentralized UAV Formations

Abstract: Real-time autonomous control of decentralized drone swarms in dynamic and cluttered environments remains a significant challenge. This paper presents a natural language-driven framework that ...