The modern microscope is an incredibly powerful tool when it comes to detecting disease, but typically the biological material being studied needs to be stained or dyed to reveal its secrets. This can ...

Analyzing several major pathology AI models designed to diagnose cancer, the researchers found unequal performance in ...

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

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

Researchers at Rice University and the University of Texas MD Anderson Cancer Center have announced a new microscope powered by AI. The researchers believe the AI-powered microscope could check cancer ...

When cancer is diagnosed, a sample has to be taken from a patient, treated, and analyzed. Researchers have now modified this method slightly to improve detection. Biopsies are assessed on glass slides ...

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 ...

Despite recent advances in diagnosing cancer, many cases are still diagnosed using biopsies and analyzing thin slices of tissue underneath a microscope. Properly analyzing these tissue sample slides ...

Pathologists often use tissue samples and microscopy to help diagnose diseases like cancer. But distinguishing different cells often require several stages of staining. Now researchers are presenting ...

HOUSTON - (Dec. 17, 2020) - When surgeons remove cancer, one of the first questions is, "Did they get it all?" Researchers from Rice University and the University of Texas MD Anderson Cancer Center ...

In a talk given today at the American Association for Cancer Research's annual meeting, Google researchers described a prototype of an augmented reality microscope that could be used to help ...