Abhishek Pratap

Research Synopsis:

His current research focuses on the development, verification, and validation of fit-for-purpose real-world digital endpoints related to mental and neurological diseases using machine learning/AI approaches. He is also interested in the assessment of potential biases in gathering health data in an uncontrolled real-world setting. To do so, Dr. Pratap has collaborated with various stakeholders in the academic, pharmaceutical, and technology industries to highlight empirical challenges and potential solutions. Some of his recent/on-going projects include 1) Predicting real-world temporal risk factors of self-harm/suicide, 2) Mobile Toolbox - to assess cognitive functioning using smartphones, 3) Global Mental Health Databank - a pilot project to assess the feasibility of collecting mental health data from youth globally, and 4) Design of a digital mood assessment app protocol to fit the needs of a diverse NIH’s AllofUSTM research participant cohort.