Complex Event Processing in an AI System for Healthcare

When:
12/09/2024 all-day
2024-09-12T02:00:00+02:00
2024-09-12T02:00:00+02:00

Offre en lien avec l’Action/le Réseau : – — –/– — –

Laboratoire/Entreprise : LS2N
Durée : 36 mois
Contact : guillaume.raschia@univ-nantes.fr
Date limite de publication : 2024-09-12

Contexte :
The PhD will take place in the European THCS “Transforming Health and Care Systems” project RENEW which means “Reshaping data-driven smart healthcare to optimize resources and personalize care for hypertensive patients through AI and digital twin models”. The RENEW project has started in June 2024 for 3 years long. It involves 9 partners from Romania, Suede, Switzerland, Poland, Italy, Slovenia and France. The LS2N partner leads the work package about the smart data processing, the personal profiles and digital twin design.

Sujet :
Health and well-being at home require to monitor in near-real time a bunch of measures and raw events at a large scale and a high frequency, coming both from the individuals and their environment. Focusing on hypertensive patients only, it is well-known that lifestyle (diet, physical activity, tobacco, alcohol, overweight) plays a crucial role in risk assessment.
Thus, the PhD aims at building, maintaining and analyzing digital twins for healthcare. As part of the RENEW project, the ultimate goal is to give feedback to individuals on their practices and lifestyle based on IA models and stream processing. Also, health institutions should be able to conduct real-time analyzes and gain insights from personal models of a large cohort of patients. All in all, it is then necessary to develop an online architecture capable of continuously collecting, preparing and analyzing health and care data from multiple sources.

Profil du candidat :

Formation et compétences requises :

Adresse d’emploi :
LS2N – site de Polytech Nantes
Rue Christian Pauc
44300 NANTES

Document attaché : 202409111132_Sujet-PhD-Renew.pdf