At Baylor, the laboratory of Olivier Lichtarge, MD, PhD, used its evolutionary action-machine learning (EAML) framework to analyze the exome sequencing data and prioritize genes with high-impact ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

New research reveals a likely culprit of stalled innovation efforts: Teams are blending incompatible learning activities at ...

The infrastructure behind AI agents isn't static—it’s a living, evolving system. Designing effective data pipelines means ...

PDF from the official Rajasthan Board website (rajeduboard.rajasthan.gov.in). Access chapter-wise topics, course structure, ...