Science 37 adds AiCure facial recognition and AI technology to improve virtual clinical trials
Virtual clinical trial service provider Science 37 has partnered with AiCure to improve virtual trials with biometric facial recognition, artificial intelligence and advanced data analytics, the company announced.
From the comfort of their homes, 150 patients from the U.S. will take part in a virtual research model this summer that will evaluate an investigational treatment for a major depressive disorder (MDD).
Science 37 will be responsible with recruiting and enrolling patients, as well as providing support and in-house network of investigators and mobile nurses. The company will use its virtual platform to deliver eConsent, eSource, ePRO and telemedicine features, and ensure patients’ privacy.
AiCure’s technology will improve data quality, and provide real-time monitoring of patient dosing and behavior. The platform will use digital biomarkers such as facial and vocal expressivity to evaluate depression, biometrics and computer vision to monitor remote dosing, and will offer real-time access to patient-quality metrics.
“Collaborating with AiCure is a unique opportunity to bring deeper and more novel insights to clinical research without participants ever having to leave the comfort of home,” said David Coman, CEO of Science 37, in a prepared statement. “Combining our comprehensive, integrated platform with AiCure’s unique AI technology will enable sponsors to develop even more meaningful data for their research.”
“Virtual clinical trials offer a huge opportunity for both patients and sponsors by reducing the burden of having participants have to travel on-site, while also reducing the costs and duration of studies,” said Dr. Ed Ikeguchi, CEO of AiCure, in a prepared statement. “Having the right tools in place can ensure patients remain engaged for the duration of a trial and help sponsors get critical and accurate data throughout.”
The virtual research model is useful in depression research as it includes interview-based diagnostic tools such as MADRS, often used in psychiatric evaluations.