OAK BROOK, Ill. – An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive ...

In a groundbreaking study published in BME Frontiers , researchers from the University of California, Los Angeles (UCLA), in ...

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

Pancreatic cancer is one of the hardest cancers to treat, which makes early detection so crucial, now AI is lending a hand to ...

Innovative deep proteomic profiling reveals promising results from a blood-based test for early breast cancer, showcasing high sensitivity and specificity, explains Justin Drake, PhD. Current standard ...

University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

BXQ-350 efficacy and safety evaluation in first line mCRC patients: A phase 1b/2 study of BXQ-350, a first-in-class sphingolipid metabolism modulator, in combination with mFOLFOX7 plus bevacizumab in ...

A new study presented at the International Association for the Study of Lung Cancer 2025 World Conference on Lung Cancer (WCLC) validates the use of Sybil, a deep learning artificial intelligence ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

Indore: In a breakthrough that could improve early cancer detection and make screening more accessible, researchers at IIT-Indore has developed advanc.