Updated on 3 September 2026
Holistic modelling of secondary cardiovascular risk prediction
Senior projectmanager at Zuyderland
Sittard-Geleen, Netherlands
About
One of our clinical chemists is working on a project to develop a holistic model (using AI) to predict the risk of secondary cardiovascular events, and considering to write a proposal for the Horizon-call: Development of predictive biomarkers of disease progression and treatment response by using AI methodologies for chronic non-communicable diseases.
The clinical chemist is a leading person in the detection of micro- and nanoplastics, which is one of the new factors he wants to add to the holistic model.
Topic
- Digital health and AI: HORIZON-HLTH-2027-02-TOOL-01-two-stage Development of predictive biomarkers of disease progression and treatment response by using AI methodologies for chronic non-communicable diseases
Type
- Partner seeks Consortium/Coordinator
Similar opportunities
Project cooperation
NCDs, AI-Driven Predictive Biomarkers and Personalised Medicine Expertise seeking European Partners
- Digital health and AI: HORIZON-HLTH-2027-03-TOOL-04 Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis
- Digital health and AI: HORIZON-HLTH-2027-02-TOOL-01-two-stage Development of predictive biomarkers of disease progression and treatment response by using AI methodologies for chronic non-communicable diseases
Laetitia Gabernet
European Research & Innovation Grant Officer at Mission Europe pour la Recherche
Marseille, France
Project cooperation
Probing predictive chronic clinical and imaging-based disease activity markers in Multiple Sclerosis
- Consortium/Coordinator seeks Partners
- Digital health and AI: HORIZON-HLTH-2027-02-TOOL-01-two-stage Development of predictive biomarkers of disease progression and treatment response by using AI methodologies for chronic non-communicable diseases
Hagen H Kitzler
clinician researcher at Technical University Dresden
Dresden, Germany
Project cooperation
Multi-Omics & Biostatistics for Predictive Biomarkers in Chronic Diseases
- Partner seeks Consortium/Coordinator
- Digital health and AI: HORIZON-HLTH-2027-02-TOOL-01-two-stage Development of predictive biomarkers of disease progression and treatment response by using AI methodologies for chronic non-communicable diseases
Magdalena Krystkiewicz-Orzechowska
Assistant Professor at Department of Molecular Carcinogenesis, Medical University of Łódź
Łódź, Poland