A machine learning model improves prediction of type 1 diabetes risk compared with a conventional genetic risk model, particularly in people without high-risk human leukocyte antigen haplotypes.

Cleveland Clinic and IBM researchers are using quantum computing to tackle one of the most challenging problems in immuno-oncology: predicting which tumor mutations will trigger an immune response.

Association between depth of IPRO-α response and overall survival (OS) in patients with advanced non–small cell lung cancer (aNSCLC) treated with first-line (1L) pembrolizumab monotherapy. Machine ...

This review systematically examines recent key advances in machine learning for carbon dots research, highlighting its ...