Cancer immunotherapy drugs known as immune checkpoint inhibitors (ICIs) can be miracle drugs for cancer patients, curing some ...

Digestive system cancers, including hepatobiliary and gastrointestinal malignancies, remain a major global oncological burden ...

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

Investigators assessed whether machine learning models provide accurate, individualized risk predictions for major 30-day postoperative complications following glossectomy.

Accurate detection of PIK3CA mutations is essential for personalizing breast cancer treatment, particularly with PI3K-targeted therapies. However, conventional molecular testing is not always ...

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

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.

A quantum-inspired AI approach can analyze millions of molecular features from small datasets, improving predictions, ...

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

AI models have been helping with predictions for a while now. Doctors, weather forecasters and stock brokers all use AI to try to peek into the future. Inside the Leibniz Supercomputing Centre in ...