Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.

On July 4, the Medical AI Ecosystem Innovation Forum and iMedLoop Global Medical Imaging Data Platform Launch was held in Beijing. Jointly organized by Liaowang Finance, under Liaowang Weekly, and ...

Thomson Reuters’ AI approach shows why trusted outputs depend on authoritative data, rigorous governance, and domain ...

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain p ...

A comparison of eight AI-powered requirements management platforms for 2026, from NLP-based quality analysis and automated test generation to live traceability scoring, covering Jama Connect, IBM ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

A model may perform exceptionally well and still lack the evidence package necessary to support regulatory review.

AI learns to track tiny heart arteries in X-rays, jumping from near failure to reliable detection in complex scans.

Artificial intelligence (AI) health-care technologies offer a means of addressing the growing gap between health-care ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Andy Smith is a Certified Financial Planner ...