Updated on 11 December 2025
In Silico Modelling, Patient-Specific Simulation, and Digital Twins for Personalised Medicine
Biomedical Engineering Team Leader at International Centre for Numerical Methods in Engineering (CIMNE)
Barcelona, Spain
About
We develop validated in silico models, patient-specific simulations, and digital-twin technologies to advance Personalised Medicine. Our expertise supports personalised medical-device design, prediction of patient-specific outcomes, and the integration of computational evidence into clinical decision-making. We also provide modelling frameworks that help reduce prototyping costs and strengthen regulatory submissions to agencies such as the FDA and EMA.
Field
- Receiver institution with a need to adopt a PM approach
- Screening & early detection programs (risk stratification, predictive tools)
- Personalised treatment pathways (tailored therapies, precision dosing)
- Patient management systems (decision-support tools, clinical workflows)
- Recovery & follow-up support systems (digital monitoring, apps, telemedicine)
- Implementation of CE-marked digital health solutions (AI algorithms, software, apps)
- Clinical decision support systems for personalised medicine
- 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)
- Initiating implementation of a PM solution (pilot site setup, proof-of-concept in clinical practice)
- Partial adoption of a PM solution (testing selected modules/components)
Organisation
International Centre for Numerical Methods in Engineering (CIMNE)
Research organisation
Barcelona, Spain
Similar opportunities
Expertise
- Receiver institution with a need to adopt a PM approach
- Clinical decision support systems for personalised medicine
- 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)
- Recovery & follow-up support systems (digital monitoring, apps, telemedicine)
- Initiating implementation of a PM solution (pilot site setup, proof-of-concept in clinical practice)
Juan Sebastián Suárez Valencia
COO at Health Force GmbH.
Vienna, Austria
Expertise
Advisory services on the implementation of 3D printing technology in public and private hospitals.
- Donor institution with a ready PM approach
- Receiver institution with a need to adopt a PM approach
- Clinical decision support systems for personalised medicine
- Full adoption/acquisition of a PM solution into clinical practice
- 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)
- Screening & early detection programs (risk stratification, predictive tools)
- Cultural/organisational change approaches (staff training, workflow redesign)
- Reimbursement-ready approaches (integration with public health insurance systems)
- 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)
Jesús Corbacho
Medical Advisor on 3D Printing Integration in Clinical Environments. at Eureqa 3D
Cáceres, Spain
Expertise
Doctor of Medicine, Cardiology specialist
- Clinical decision support systems for personalised medicine
- Theranostics (combined diagnostic + therapeutic approaches)
- Full adoption/acquisition of a PM solution into clinical practice
- Patient management systems (decision-support tools, clinical workflows)
- Recovery & follow-up support systems (digital monitoring, apps, telemedicine)
- Standardisation & evaluation methodologies (protocols, metrics, QA/QC processes)
- Implementation of CE-marked digital health solutions (AI algorithms, software, apps)
- Adaptation of care pathways for PM (embedding new tests/therapies into routine care)
Filonid Aliu
MD, Chief Medical Officer at PARAL at PARAL
Liverpool, United Kingdom