Demographic changes induce an ever-higher burden on the healthcare system. Early detection of complications and diseases and the determination of effective personalized treatments are essential to lower this burden, to prevent complications, and to lower healthcare costs while simultaneously improving patient outcome and quality of life. The PROTEUS project seeks to leverage technological advances in pathophysiological modeling, unobtrusive sensing, monitoring and AI towards this end.

Innovation

The project explores AI techniques to overcome shortcomings of today’s bedside measurements, and to support automatic generation of summaries of patients cardiovascular condition; unobtrusive monitoring technology is explored to manage medication for narcoleptic patients, and to assess fetal health status in high-risk pregnancies; photoacoustic technology is explored towards improved vascular status assessment; and it is explored if a device for bedside antimicrobial resistance determination can be adapted for use in a neonatal intensive care unit.

Approach

The general approach in PROTEUS is to explore and co-create novel technological solutions in a controlled clinical environment, to subsequently refine and validate them and where appropriate transfer them to extramural and at-home settings, towards deployment in the healthcare system with the aim to increase effectiveness at lower costs in combination with lower patient burden and higher patient quality of life.