Holland High Tech Holland High Tech
ANTIGONE

Advanced Next-generation Technologies for Integrated Guidance and Optimization of NEw innovations

• 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 ANTIGONE project seeks to leverage technological advances in pathophysiological modeling, unobtrusive sensing, monitoring and AI towards this end.

ANTIGONE explores image-analysis-based decision support tools to guide transcatheter aortic valve implantation; explores a new paradigm called data interaction to support cross-institutional remote patient management for heart-failure care pathways; establishes support to accelerate data-driven bedside MedTech innovation; develops, assesses and optimizes realistic front-end prototypes for radiologist interaction with medical images and AI; explores contrast-enhanced ultrasound imaging techniques with monodisperse microbubbles for early diagnosis of prostate cancer; explores a novel integrated photonics-based creatinine sensor for use with a wearable sweat sensor; and develops high-density electronics for enhanced ultrasound tomography.

The general approach in ANTIGONE 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.

Facts & figures
  • Scheme: PPS-I Strategische Programma's
  • Programme: Medische Technologie | 2024-2027
  • Total budgeted project costs: € 3.224.924,00
  • Project start date: 1 June 2026
  • Project end date: 31 December 2031
Project managers
Project consortium
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