Projects  •

iCare4U

Full Title
Decision support system for personalized medicine in ICUs
Description

This project proposes a decision support system based on intelligent modelling and patient sub-group analysis, to provide personalized therapy for critically ill patients. It is hypothesized that the ‘Collective Experience’ from large clinical databases, where clinical decisions are linked with patient outcomes, can be used to identify specific patient sub-groups and build personalized therapy models towards a new era of personalized medicine, allowing the improvement of patient outcomes in the ICU. The validity of the proposed systems will be tested using two case studies where generalized severity scoring systems have consistently performed poorly: patients admitted to the ICU who then develop acute kidney injury, where two-thirds of these patients require renal support therapy; and severe sepsis a typical heterogeneous disease among critically ill patients, in which the immune response is highly dynamic and variable, and likely to need complex therapies to improve patient outcomes.

Funding Entity
FCT
Reference
LISBOA-01-0145-FEDER-031474 + PTDC/EME-SIS/31474/2017
Start Date
01/06/2018
End Date
31/05/2021
Coordinator
IDMEC
Partners
LASIGE, INESC-ID, Luz Saúde, Harvard Medical School
Principal Investigator at LASIGE
Sara C. Madeira
Team at LASIGE
Status
Ongoing