The need for real-world objective metrics, as they are expressed in a subject’s daily life and opposed to traditional episodic measurements, is well appreciated. Wearable and ambient sensors, powered by Machine Learning, provide the ability to capture such metrics and provide a holistic view of the patient’s condition.  

Circadic helps partners stay on top of the latest developments in the world of Digital Endpoints by regularly issuing thematic reports in selected therapeutic areas. We have built and maintain a database that regularly scans and harmonizes available resources (clinical trial registries, Pubmed, selected news outlets, DiMe, grant applications a.o.). We then select seminal or promising programs to highlight and form recommendation guidelines.

We are a team of end-to-end makers, from clinical design to machine learning AUC output. Hence, we can evaluate first hand the feasibility and impact of each solution for our partners.