AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research ...

Cancer-diagnosing AI models can secretly read patient demographics from pathology slides, leading to biased results.

Artificial intelligence is no longer just spotting tumors a little faster than humans. In study after study, machine learning systems are uncovering hidden patterns in cancer data that even veteran ...

One of the most challenging moments in cancer treatment comes when a therapy stops working. In many metastatic cancers, drugs ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

The blood-based test by Astrin Biosciences shows high sensitivity and specificity across cancer stages and subtypes, ...

Knowledge graphs are a powerful tool for bringing together information from biological databases and linking what is already ...

AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...

As the diagnostic landscape evolves, several patterns are emerging across both clinical research and market innovation.

BIDMC's nuclear imaging specialists use PET and SPECT to diagnose, stage and treat certain types of cancer. Learn more.