Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Breast and Gynecologic Cancer Care for Sexual Minority Women and Transgender People The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Advanced UAV sensor integration and machine learning may improve corn AGB predictions, providing scalable solutions for ...

A researcher has proposed a more targeted approach to AI drug discovery, which includes a rigorous evaluation protocol.

Artificial intelligence (AI) and machine learning (ML) are now embedded in the core of banking — powering decisions in credit, fraud, ...

Recently, model-based reinforcement learning has been considered a crucial approach to applying reinforcement learning in the physical world, primarily due to its efficient utilization of samples.

GenAI and ML workloads are causing a ramp up in silent data corruption. Multi-stage detection with on-chip, AI-based ...