Gastric (stomach) cancer remains one of the most common and deadly cancers in East Asia, including Korea. Yet despite its ...

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

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

Genetic risk models and variant classification tools are refining breast cancer risk assessment by identifying high-risk individuals for intensive surveillance or targeted therapies, while guiding ...

Researchers at The University of Texas MD Anderson Cancer Center have found that a mitochondrial enzyme, GFER, creates an ...

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 ...

A multidisciplinary team integrated clinical need, cancer biology, and microfluidic bioengineering to advance ...

Chronic circadian disruption — such as night-shift work, irregular schedules, or frequent jet lag — accelerates the development and spread of aggressive breast cancer.

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

“These findings by our University of Hawai‘i Cancer Center research team show that drug resistance is not necessarily the end ...

Working the night shift, frequently flying across time zones or keeping an irregular sleep schedule does more than just leave ...

Katie Colling is using tiny tumor models to find uterine cancer interventions that don’t require surgery Katie Colling didn’t ...