An ML-based approach to better characterize lung diseases

The combination of the environment an individual experiences and their genetic predispositions determines the majority of their risk for various diseases. Large national efforts, such as the UK Biobank, have created large, public resources to better understand the links between environment, genetics, and disease. This has the potential to help individuals better understand how to stay healthy, clinicians to treat illnesses, and scientists to develop new …

andrew biology challenge combination deep learning disease diseases engineer environment genetics genomics google genomics medicines process product public resources risk scientists sense software software engineer supervised learning