Drug development typically relies upon clinical endpoints established within very controlled laboratory environments. Digital health technologies now provide the opportunity to transition data collection from the clinic into people’s personal lives, thereby providing more accurate conclusions about how a compound can influence their day-to-day life.
High-frequency digital health assessments can not only characterize clinically-relevant data as it occurs in real-time, but capture this information within the patient’s home environment. Therefore, digital health platforms provide an ecologically valid data source which directly maps on to an individual’s daily functioning and real-world outcomes.
Digital cognitive biomarkers are typically active or passive: but which approach enhances clinical trial success? Here we will define how active and passive cognitive biomarkers function in clinical trials, to conclude their optimal application.
Biomarkers are important for the detection of disease-relevant information to help recruit, stratify and monitor patients, and to evaluate the safety and efficacy of compounds. Here we’ll discuss what digital biomarkers are and how they offer an opportunity to revolutionize research and drug development in psychiatric and neurological disorders.
Precision psychiatry is a promising new approach that seeks to improve outcomes in highly heterogeneous clinical populations.