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 ...

Researchers at the UCLA Health Jonsson Comprehensive Cancer Center have developed a new platform that combines 3D bioprinting, advanced imaging and artificial intelligence to better monitor how cancer ...

For a child diagnosed with neuroblastoma—the most common infant cancer, occurring when early nerve cells grow out of ...

The dataset, which the researchers have made available on the Open Reaction Database, is nearly five times as large as the ...

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 ...

Researchers at MUSC Hollings Cancer Center have developed a machine learning tool to identify cancer patients who may be at high risk for financial toxicity – the financial stress and hardship that ...

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 ...

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 ...