Designed to remotely monitor patients, the platform leverages machine learning to predict health conditions or diseases.
For proof-of-concept, Verum is being tested to measure and monitor the stress levels of patients participating in clinical trials. Stress is attributed to 30% of average trial drop-out rates.
Cambridge Consultants said that identification and reduction of the effect of patient stress on trial outcomes could improve efficiency.