Challenge

From medical images and laboratory results to generic, lifestyle and clinical data, healthcare generates growing volumes of information. Unfortunately, these sources often remain separated and difficult to combine. Clinicians therefore lack a complete, patient-specific picture that could help them compare treatments and anticipate likely results. Turning this fragmented information into a reliable “digital patient” also requires validated models, interoperable data, secure infrastructure and interfaces that fit naturally into clinical practice.

Solutions

DISCIPULUS brought researchers, technology developers, clinicians, patients, healthcare providers and regulators together to define how the Digital Patient could become a clinical reality. The concept centred on a patient-specific digital representation that combines health data with mathematical models and simulations, allowing clinicians to explore how a disease may progress or how an individual could respond to different interventions. Rather than developing the complete technology, the project reviewed existing Virtual Physiological Human research and produced a coordinated research and innovation roadmap. It addressed data generation and management, mathematical modelling, privacy and security, computing infrastructure, clinical interfaces, validation and adoption.

Results

The main outcome was the Digital Patient Roadmap, which translated a broad scientific vision into research priorities, practical recommendations and short-, medium- and long-term development needs. It placed clinicians and patients at the centre of the concept and illustrated its potential through clinical scenarios covering conditions such as breast cancer, osteoporosis, cardiovascular disease, dementia, stroke and childhood kidney cancer. The roadmap provided a shared direction for researchers, healthcare organisations, industry and policymakers working on patient-specific modelling and simulation. By identifying technical, clinical and organisational barriers, DISCIPULUS helped lay the foundations for digital patient and virtual human twin technologies that can support safer treatment planning, more personalised care and stronger European leadership in in-silico medicine.