BiAffect is a research study app developed by the University of Illinois at Urbana-Champaign. It aims to explore the connection between mood and neurocognitive functioning in bipolar disorder through keystroke dynamics and passive sensor data like accelerometer readings. The app is open to both individuals with bipolar disorder and healthy participants to serve as a control group.

Traditionally, diagnosing and treating bipolar disorder relies on subjective assessments. BiAffect seeks to introduce a more objective approach by analyzing keystroke dynamics and sensor data from iPhones. By studying these digital footprints, the app aims to identify potential markers of mood changes and provide valuable insights into mental health.