Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...

For its 2nd anniversary, Callisto DataHub offers free annotated datasets of 50 suspected lung cancer X-rays and 50 ...

Artificial intelligence (AI) could help physicians determine if survivors of childhood cancer need extra support - and the more information included in AI prompting, the better its performance. This ...

Multiple myeloma is a cancer in which plasma cells, which normally produce antibodies, multiply uncontrollably in the bone marrow. There is currently no cure. However, various therapies can stabilize ...

Drug resistance remains a central barrier to durable responses across cancer therapies, spanning targeted agents, cytotoxic chemotherapy, endocrine ...

Researchers assessed the feasibility of using large language models to match cancer patients with certain genetic mutations to appropriate clinical trials.

Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...

Artificial Intelligence (AI) and Machine Learning (ML) in pediatrics represent a burgeoning field within healthcare, driven ...