Researchers are improving risk prediction for common chronic diseases using genetic data ... generally in the form of DNA letter-swaps known as single nucleotide polymorphisms (SNPs).

A risk prediction score that uses machine learning and a patient’s genetic information may identify autoimmune conditions up ...

Enhancing disease prediction capabilities extends beyond Alzheimer's, according to Lin. The model can also be applied to other scenarios, such as monitoring ICU patients for potential rapid ...

Fan Zhang, PhD, of the University of Colorado Department of Medicine sees artificial intelligence as a pathway to combating an intractable enemy: rheumatoid arthritis.

However, their utility in the prediction of proneness to coronary heart disease has not been established in prospective studies up to the present time. On the basis of data compiled by the ...

Zhang's research focus is developing methods involving computational machine learning—using algorithms to learn from data and make predictions—to study RA and other autoimmune diseases ...