Medical imaging is increasingly important for understanding diseases, detecting them early, and personalizing treatments. New imaging techniques, which can measure processes in the body without surgery, are opening the door to a more precise approach to medicine. Instead of relying on general probabilities, this technology allows us to analyze specific factors in a person's health, leading to better predictions and targeted treatments. One key challenge in medicine today is reducing "residual individual risk"-the remaining health risks that current treatments don't fully address. This involves understanding how factors like age, sex, genetics, and environment affect our health, particularly when it comes to conditions like heart and liver disease. By using imaging to distinguish between normal aging and disease, we can better assess individual health risks.

The current project will create a large collection of medical images linked with health data from a broad population across France. Using advanced, non-invasive techniques such as MRI and ultrasound, researchers will analyze the heart, blood vessels, and liver in detail, considering factors like gender and health risk profiles. This will help improve our understanding of these diseases, which are often silent and not well understood, providing direct benefits to the participants. Ultimately, the goal is to optimize imaging technologies for large-scale studies, which will help enhance early detection and prevention for everyone.

Inclusion Criteria:

• Participation to the Constances cohort
• Age ≥ 20 years
• No overt cardiovascular or hepatic disease or related symptoms
• No known family or personal genetic disease
• Affiliation with a social security scheme or beneficiary of such a scheme.
• Agreement to sign the consent

Exclusion Criteria:

• Renal function impairment with GFR < 60 mL/min/1.73m2
• Deprived of liberty or persons subject to a legal protection measure (under guardianship or trusteeship)
• People with contraindications to MRI (claustrophobia, presence of metallic elements…)
• Pregnant or breastfeeding woman (pregnancy urinary test before inclusion for women of childbearing age).

Study participants are asymptomatic volunteers from the Constances cohort, whose risk factor profiles are representative of the population in the Île-de-France region (Paris area). Participants are divided into 6 decades from 20 to 80 years with equal distribution of men/women (200 men and 200 women per decade)