Research database

InSilicoHealth- Training the virtual twin professionals to support healthy ageing

Duration:
01/01/2025 - 31/12/2029
Principal investigator(s):
Project type:
UE-funded research - HE - Excellent Science - MSCA
Funding body:
COMMISSIONE EUROPEA
Project identification number:
PoliTo role:
Partner

Abstract

InSilicoHealth aims to train doctoral candidates in the field of virtual human twin technology, with a specific focus on addressing challenges related to healthy aging in Europe in three core domains: heart, musculoskeletal, and brain. There is a two-way transfer between the research projects and the interdisciplinary training programme, in which candidates will receive a broad education that spans different fields relevant to digital health. A compelling interdisciplinary joint degree-DN programme??for 11 DCs is proposed answering four interdisciplinary research objectives, shouldered by intersectoral training components (i.e., academic and nonacademic secondments) to prepare a new generation of outstanding digital health professionals. InSilicoHealth will provide a comprehensive and forward-looking programme that combines research, interdisciplinary training, and collaboration with industry to address the complex challenges of healthy ageing, using virtual human twin technology. The DCs will be actively encouraged to surpass the technology-driven focus and to explicitly addressing the ethical, legal societal implications of VHT technologies. By providing the DCs with a 360° view on the methodological, technological, ethical, social, and regulatory challenges associated with this digital revolution of healthcare, InSilicoHealth is conceptualized as a steppingstone for a sustainable EU-based, doctoral programme on in silico health.

Structures

Partners

  • FAU - FRIEDRICH-ALEXANDER-UNIVERSITAET ERLANGEN-NUERNBERG
  • KTH - KUNGLIGA TEKNISKA HOGSKOLAN
  • KU LEUVEN - Coordinator
  • POLITECNICO DI TORINO - AMMINISTRAZIONE CENTRALE
  • STICHTING VU
  • TU - TECHNISCHE UNIVERSITEIT DELFT
  • Universiteit Gent
  • UPF - UNIVERSIDAD POMPEU FABRA
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Keywords

ERC sectors

LS4_4 - Ageing
LS7_1 - Medical engineering and technology
LS7_8 - Health services, health care research
PE7_3 - Simulation engineering and modelling

Sustainable Development Goals

Obiettivo 3. Assicurare la salute e il benessere per tutti e per tutte le età

Budget

Total cost: € 3,944,784.00
Total contribution: € 3,944,784.00
PoliTo total cost: € 345,916.80
PoliTo contribution: € 345,916.80