This study presents a deep learning model for breast cancer detection, achieving 99.24% accuracy and improving clinical ...

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 ...

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 ...

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

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

Developed by VHIO investigators, the SALSA artificial intelligence (AI)-aided tool (SALSA) works directly on medical images, automatically detecting and delineating tumors. Medical images including ...

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 ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, it is becoming increasingly difficult to keep track and to select the ...

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 ...