ExpertiseUpdated on 19 October 2025
AI for virtual human twins
Program Manager (AI for Health & Industry) at Eindhoven University of Technology
Eindhoven, Netherlands
About
Our Expertise: Digital twinning, mechanistic and AI models, virtual physiological human, virtual human twins, cardiovascular and respiratory biomechanics or physiology, synthetic data generation, virtual cohorts for these applications.
Organisation
Similar opportunities
Expertise
- Clinical decision support systems for personalised medicine
- Diagnostic tools (biomarkers, genetic tests, companion diagnostics)
- Personalised treatment pathways (tailored therapies, precision dosing)
- Patient management systems (decision-support tools, clinical workflows)
- Screening & early detection programs (risk stratification, predictive tools)
- Recovery & follow-up support systems (digital monitoring, apps, telemedicine)
Tugba Onal-Suzek
Computer Engineer at Kedi Mobile Applications
Muğla, Türkiye
Expertise
Selay Yüksel
Head of International Projects at ViFrameAI
İstanbul, Türkiye
Expertise
Advancing Personalized Medicine Through Integrative Research and Clinical Excellence
- Receiver institution with a need to adopt a PM approach
- Clinical decision support systems for personalised medicine
- Theranostics (combined diagnostic + therapeutic approaches)
- Diagnostic tools (biomarkers, genetic tests, companion diagnostics)
- Personalised treatment pathways (tailored therapies, precision dosing)
- Patient management systems (decision-support tools, clinical workflows)
- Partial adoption of a PM solution (testing selected modules/components)
- Tools for secure data sharing & secondary use (pseudonymisation, FAIR data)
- Screening & early detection programs (risk stratification, predictive tools)
- Recovery & follow-up support systems (digital monitoring, apps, telemedicine)
- Cultural/organisational change approaches (staff training, workflow redesign)
- Data integration & interoperability solutions (EHRs, registries, data platforms)
- Standardisation & evaluation methodologies (protocols, metrics, QA/QC processes)
- Adaptation of care pathways for PM (embedding new tests/therapies into routine care)
- Patient engagement & empowerment strategies (self-management tools, shared decision-making)
- Adaptation of an existing PM solution to local context (language, IT environment, regulations)
- Initiating implementation of a PM solution (pilot site setup, proof-of-concept in clinical practice)
Inês Costa
Research Manager at Universidade de Coimbra - Faculdade de Coimbra
Coimbra, Portugal