Can AI remedy the growing pains of digital biomarker development?

AI implementation could be a useful tool to analyse generated data. Yet, regulatory approval hurdles are in sight.

Digital biomarkers can potentially open new doors in clinical research. By using digital sensors or other forms of non-traditional digital means, collected data could validate a patient’s diagnosis, confirm response to an investigational drug, or even predict a patient’s health outcome. Digital biomarkers can also detect changes in clinical measures in specific indications, like movement or neurological disorders.