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

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.

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

A group of researchers from the Technion and the United States reports a breakthrough in MRI scanning in a paper published in ...

Using artificial intelligence (AI), researchers found that image-based risk scores for breast cancer derived from screening ...

Artificial Intelligence (AI) is increasingly revolutionizing thoracic oncology by enabling new ways to diagnose, treat, and monitor patients with thoracic ...

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...

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 ...