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.

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...

Endoscopy-based deep learning algorithms demonstrate higher sensitivity and specificity than endoscopists overall in detecting early esophageal squamous cell carcinoma.

A machine learning program that identified patients overdue for colorectal cancer screening helped increase screening rates ...

A feature News and Perspectives story on technological advances in oncology was published in Journal of Medical Internet ...

Researchers have developed an artificial intelligence method that can uncover previously hidden signs of multiple sclerosis in routine MRI scans.

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

A Microsoft study found command-line AI coding agents were linked to more merged pull requests, but adoption and review capacity shaped the results. If you can only read one tech story a day, this is ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

The field of oncology is rapidly being transformed by advances in artificial intelligence (AI), with growing evidence ...

This postdoctoral researcher develops innovative artificial intelligence and statistical methods to uncover hidden, reliable patterns within complex global datasets.