PreDiCT

The PreDiCT (PREdictive analytics for machine DIagnostics and healthCare applicaTions) team is part of the IDLab research group at Ghent University - imec and performs basic, applied and contract research.

The PreDiCT team focuses on the study and development of innovative machine learning solutions, efficient and accurate characterization, modeling and training, and testing and optimization, with applications in predictive maintenance and predictive healthcare.

Our expertise has been successfully used by academic and business partners worldwide. We work closely with technology leaders on real world challenges.

Phone: +32 9 331 49 58

Some Ongoing Projects

AI-SWEEP

AI-enabling Smart Wound carE Electronics Patches AI-SWEEP aims at developing the use of artifici...

CHAI

Chemistry & Hybrid AI About the project Today, finetuning and optimizing chemical processes ...

HEROI2C

Hybrid machine learning for improved infection management in critically ill patients More than 5...

PACSOI

Solid for personalized patient journeys About the project: From silos to integrated health data ...

RE-ENNOVATE

Building rennovation suggestions RE-ENNOVATE is an ambitious 3-year project to make home renovat...

S.E.P.S.I.S. Connect

eHealth Sepsis is a syndrome caused by an infection and leads to organ failure and death. In the...

ADAM

eHealth The goal of ADAM is to design AI methods that are able to predict how a particular patie...

DEDICAT

The Development of Depression’s Digital Forecasting Tool The DEDICAT project aims to develop a f...

IMPERIO

Personalized and engaging digital interventions for behavioral change to facilitate long-term eff...

mBrain

Context-aware health monitoring The goal of this project is to gain more insight into the contex...

Targeted neuromodulation

eHealth Imagine a world where chronic diseases could be targeted directly by electrical signals ...

SmartWaterConnect 5.0

Design of advanced and robust hybrid AI solutions using innovative multi-modal digital measuremen...