Researchers at the UCLA Health Jonsson Comprehensive Cancer Center have developed a new platform that combines 3D bioprinting ...

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 ...

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 ...

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

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.

AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...

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 ...

Machine learning has emerged as a transformative force in the field of neurosurgery, offering innovative tools to predict surgical outcomes with greater ...

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

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...