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AI-Driven Early Prediction and Personalised Care | iPROLEPSIS, AI-PROGNOSIS & REBECCA

Mar 3, 2026

A joint video highlighting how digital biomarkers and real-world data support patient-centred healthcare across three disease areas

What happens when a disease enters someone’s life and changes everything?


Millions of people live with chronic conditions that shape their daily routines often in ways that are invisible to others. Early diagnosis, timely intervention and more effective care can make a profound difference.


In a new joint video developed with support from the European Commission’s Booster initiative, the EU-funded projects iPROLEPSIS, AI-PROGNOSIS and REBECCA present a shared vision for patient-centred artificial intelligence in healthcare.


The video highlights how AI and digital biomarkers can enable earlier prediction, continuous monitoring and more personalised care across three disease areas:

  • Psoriatic arthritis (iPROLEPSIS)

  • Parkinson’s disease (AI-PROGNOSIS)

  • Breast cancer survivorship (REBECCA)


By integrating real-world behavioural data, wearable sensor signals and patient-reported information, the projects demonstrate how complex health data can be transformed into actionable clinical insights. These AI-driven approaches aim to strengthen clinical decision-making while keeping patients at the centre of care.


The video reflects the projects’ commitment to developing trustworthy, responsible and co-designed AI solutions that respond to real clinical and patient needs.


Watch the video here:


To learn more, visit:

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