Researchers from The University of Texas MD Anderson Cancer Center demonstrated that an artificial intelligence (AI)-based ...

Cancer research has rapidly entered a data-rich era. Today, researchers can draw on whole-genome sequencing, single-cell atlases, longitudinal liquid biopsy ...

Artificial intelligence (AI) is increasingly reshaping diagnostic pathology, with breast pathology representing one of the most advanced and clinically impactful areas of adoption.

AI‑guided analysis surfaces a new CAR T target with multi‑cancer activity, as Penn researchers validate GPNMB‑directed CAR T cells in preclinical models.

Leading CAR T cell therapy researchers have developed a human-in-the-loop artificial intelligence (AI) framework that centers ...

Researchers at the University of California, Los Angeles have developed a compact, cost-effective diagnostic platform ...

Abstract: Quantum Machine Learning (QML) is an emerging, powerful paradigm at the intersection of quantum computing and artificial intelligence, with the potential to enhance medical image analysis.

Abstract: One of the main causes of cancer-related deaths is lung cancer, and increasing survival rates requires early detection. The use of sophisticated machine learning (ML) algorithms to improve ...

Revolution Medicines and its RAS inhibitor daraxonrasib stole the show at the American Society of Clinical Oncology’s annual meeting this weekend, as Truist Securities predicts a possible third ...

An experimental pancreatic cancer drug has ignited hope in a field desperate for new treatments. Compared with traditional chemotherapy, a pill called daraxonrasib nearly doubled the survival time of ...

A senior scientist who helped shape research at Tampa's H. Lee Moffitt Cancer Center has stepped away from a key leadership post after questions surfaced about several older studies she co-authored ...