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.

Compare deep learning cell segmentation tools Cellpose and StarDist: how each works, how they differ by imaging type, and ...

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

“A deep learning device be trained on a specific subset of data is incident to the very nature of machine learning.” – Federal Circuit The U.S. Court of Appeals for the Federal Circuit (CAFC) issued a ...

A multi-cloud MLOps framework improves AI service reliability through automated deployment, canary releases, and ...

Most data teams discover quality problems the same way: a dashboard looks wrong, a stakeholder files a ticket, and an engineer traces the damage backward through the pipeline. By then, the bad data ...

A visit to the Philips Customer Experience Centre in the Netherlands revealed a broad range of AI-powered medical ...

The field of orofacial medicine increasingly recognizes the temporomandibular joint (TMJ) as a complex anatomical and functional unit whose disorders can ...

AI uncovers hidden disease biomarkers missed by doctors, reshaping healthcare through smarter diagnosis, and human-AI collaboration.

The Natural Traces Consortium is transforming forensic science by expanding the range of evidence sources to include ...

Doctors at central Ohio’s major hospital systems say artificial intelligence is helping them see more than they could before.

Women are more likely than men to experience insomnia despite showing stronger restorative sleep brain activity. Discover the ...