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 ...

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

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

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 Fred Hutch Cancer Center are testing whether a collaborative AI research platform can accelerate the pace of cancer research leading to faster diagnoses and more precise, targeted ...

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

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 ...