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Face video

Take a 30 to 60 second face video. AI analyses light reflection patterns on the blood vessels of your face to predict cardiovascular wellness and more.
- Cardiovascular
- Respiratory
- Metabolic

















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Take a 30 to 60 second face video. AI analyses light reflection patterns on the blood vessels of your face to predict cardiovascular wellness and more.
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Speak for 30 seconds. AI analyses your voice patterns to detect your cognitive, respiratory and mental wellness.
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Take pictures of your eyes. AI analyses your sclera, pupil and other features to infer metabolic wellness and more.
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Take a photo of your body skin and face skin to assess your skin health.
We believe you can't improve what you can't measure. We developed a proprietary wellness scoring system to visualise your health and easily track progress.

Discover each wellness biomarker's value and trend. Transform health data into powerful tools for self-improvement and extend your healthspan. Health areas include cardiovascular, respiratory, metabolic, face skin, body skin, mental and cognitive wellness.

Our mission
"Any sufficiently advanced technology is indistinguishable from magic." Arthur C. Clarke
Face video analysis via photoplethysmography (PPG): we use advanced AI algorithms to extract photoplethysmographic (PPG) signals from a video of a user's face, captured by the camera of a smartphone or tablet. The camera records changes in the amount of light the skin reflects and absorbs. These changes are linked, for example, to heartbeats: each time the heart pumps blood, the amount of blood in the vessels changes, altering the reflected light. This enables real-time measurement of vital signs such as heart rate, oxygen saturation, respiratory rate, blood pressure and stress levels. Some relevant research: Wroclaw University Report, Tison Lab @ UCSF.
Voice biomarker analysis: we analyse short voice samples (30 seconds) recorded with a smartphone's microphone to detect changes in mental, cognitive and respiratory health. By analysing vocal features such as tone and rhythm, our algorithm can identify signs of conditions such as depression, respiratory diseases and cognitive decline. Some relevant research: Development and Validation of a Respiratory-Responsive Vocal Biomarker, Noncontact spirometry with a webcam.
External eye photo analysis: we use advanced AI algorithms to predict levels of systemic biomarkers such as glycated haemoglobin, cholesterol, eGFR and more from external eye photos. Certain eye characteristics, such as the concentration of blood vessels in the sclera and its colour, can predict these biomarkers. Some relevant research: A deep learning model for novel systemic biomarkers in photographs of the external eye: a retrospective study.
Yes. Our Medical Product Manager, a medical doctor, defines each biomarker, validates it against established clinical evidence, and designs the personalised recommendations. We're also supported by a medical advisory board of 5+ physicians specialising in longevity.
No. We do not sell our users' health data. Privacy is one of our core values.
See our Biomarker Accuracy Summary.
Yes. We received a GDPR audit and comply with the GDPR and other data protection best practices and rules.
No. The YOU(th) app is a general wellness application that gives users personalised recommendations, tools and insights to support healthy lifestyle choices and general well-being. It is intended only for general well-being purposes, or to encourage or maintain a healthy lifestyle, and not for any medical purpose (such as the diagnosis, monitoring, management or treatment of any medical condition or disease). Please consult a physician for any medical advice you need.
The app's content and functions are limited to general health improvement and do not involve any medical decision-making or intervention.
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