Our Approach
When it comes to innovation in healthcare, the limit of technology is always data: its quality, its historical accuracy and the size of the dataset. Thanks to the Zoī check-up, thousands of data points are collected, selected with care and structured, in a standardized and secure framework, with an exceptional level of quality.
By applying the latest AI and Machine Learning technologies to these data points, we aim to make innovative, personalized preventative medicine accessible to the greatest possible number of people. Research projects will available on this page once initiated.
The main research pillars at Zoī
- 01
Diagnosis
We aim to predict an individual's overall health status using Machine Learning and multimodal AI models. Our mission goes beyond preventive medicine: We want to make predictive medicine accessible to all.
- 02
Personalization
Personalization is essential for prevention. We are developing a solution for healthcare professionals that enables them to propose optimal preventive care solutions, tailored to each of our members.
- 03
Impact
To maximize the acceptance and impact of health recommendations, we are working to identify the factors that contribute to good health and behavioral commitments. This methodology is crucial for scientifically demonstrating the positive impacts of a preventive approach on quality of life and the onset of disease.
Augmented intelligence for predictive medicine
Together with our (team of) experts and medical partners, we are building multimodal models that will help develop precision preventive medicine.
Collaborate with Zoī
You're passionate about these areas of research et have ideas that will change the future ? Join the Zoī research team.