"This deepens our understanding of human diseases and enhances the performance of risk-prediction tools for ... how one ...

A machine learning algorithm can diagnose celiac disease from duodenal biopsies with accuracy comparable to pathologists, ...

Advances in the gene-editing technology known as CRISPR-Cas9 over the past 15 years have yielded important new insights into the roles that specific genes play in many diseases ... and has limited ...

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 ...

Parkinson’s disease, and other neurodegenerative conditions. The challenge of neurodegeneration requires innovative strategies informed by multiple scientific and medical disciplines. Our mission is ...

This project is developing an infectious disease outbreak prediction model that incorporates the influences of a variety of environmental factors into the climate change models in order to predict the ...