Presentation

As part of the France Relance and France 2030 plans, the Government has launched the Digital Health Acceleration Strategy, of which the Digital Health Priority Research Program (PEPR Digital Health) is the main research component.

In this context, the French National Institute of Health and Medical Research (Inserm) and the French National Institute for Research in Digital Science and Technology (Inria) have been chosen as coordinating institutions by the French Government to lead the program and manage the scientific aspects. The program has a budget of 60 million euros over 7 years, and is operated by the French National Research Agency (ANR).

Latest news

Projects

AI4scMED

MultiScale AI for SingleCell-Based Precision Medicine (AI4scMED)

AUTONOM-HEALTH

Health, behaviors and autonomous digital technologies

BHT

Brain Health Trajectories

BrainDeepPhenotyping

High-resolution in vivo imaging data with putstanding instrumental
systems resulting from technological innovation led by academic
and industrial research players (11.7 Tesla extreme field MRI in
humans, functional 3D ultrasound imaging, etc)

ChroniCardio

Climatology of Chronic Non-ischemic Cardiomyopathy long-term prediction from multi-scale data and models

DIGPHAT

Multi-scale and longitudinal data modelling in pharmacology: toward digital pharmacological twins

Diip-Heart

Digital integration of Perioperative signals in patients with failing heart & vessels

M4DI

Methods and models for multimodal and multi-scale data integration

NEUROVASC

A 5P medicine program to reduce the global impact of intracranial aneurysm and stroke

REWIND

pRecision mEdicine WIth loNgitudinal Data (REWIND)

SAFEPAW

Societal Assets For E-healthcare Patient pAthWays

SaNSo

Digital Health in Society

ShareFAIR

Sharing reliable protocols to transform datasets into gold standards: Application to Neuro-Vascular Pathologies

SMATCH

Statistical and AI based Methods for Advanced Clinical Trials
CHallenges in Digital Health

SSF-ML-DH

Secure, safe and fair machine learning for healthcare

StratifyAging

I nteroperatibility of clinical studies and routine care for
the advent of a stratified medicine of aging using clinical,
imaging, and omics data

TracIA

Traceability for trusted multi-scale data and fight against information leak in artificial intelligence systems in healthcare