Using Machine Learning to Predict Rare Diseases

Biobanks – databases with genetic and health information – offer researchers the ability to explore illnesses and study the contributions of genetics and environment to disease trajectory. These investigations have enabled us to draw conclusions about factors ranging from the relationship between diet and disease to household size and COVID severity, yielding valuable insights to guide researchers, clinicians, and patients alike.

But biobanks are only as useful as the quantity and quality of the data in them.