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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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