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 ...

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

Learn what Google’s major AI models do, including Gemini, Veo, Imagen, Nano Banana, Gemma, Lyria, Chirp, and Gemini Nano. If you can only read one tech story a day, this is it. We use cookies and ...

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 ...