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CAPABLE · Project

AI Coaching Platform That Helps Cancer Patients Manage Treatment Side Effects at Home

healthPilotedTRL 7
capable-project.eu

Imagine you finish cancer treatment and go home, but now you're dealing with harsh side effects, fatigue, and nobody nearby to ask if what you're feeling is normal. CAPABLE built a smartphone app that acts like a personal health coach — it tracks how you're doing using wearable sensors and questionnaires, warns your doctor if something looks off, and gives you daily guidance tailored to your condition. Think of it as a smart assistant that sits between you and your oncologist, catching problems early so you don't end up back in the hospital. The system was tested at real hospitals across Europe with actual cancer patients.

By the numbers
12
consortium partners across the project
7
countries involved in development and testing
5
industry partners in the consortium
3
SMEs contributing to the platform
40
total deliverables completed
3
iterative platform proof-of-concept cycles before final deployment
The business problem

What needed solving

Cancer patients discharged after treatment face harsh side effects and emotional challenges at home, with limited access to their care team between scheduled visits. Hospitals lack the tools to continuously monitor these patients remotely, leading to preventable emergency readmissions, poor treatment adherence, and declining quality of life. The gap between hospital care and home management costs healthcare systems money and costs patients their wellbeing.

The solution

What was built

CAPABLE built a complete AI-powered patient coaching platform: a mobile app for cancer patients (with wearable sensor integration and personalized coaching), a clinical dashboard for oncologists, a backend decision support system combining clinical guidelines with statistical prediction models, and the full deployment infrastructure tested at hospital sites across 7 countries — including ethical approvals, training materials, and a technical maintenance manual.

Audience

Who needs this

Digital health companies building remote patient monitoring platformsPharmaceutical companies tracking oncology treatment side effects in real-world settingsHospital networks looking to reduce cancer patient readmission ratesHealth insurance companies wanting to lower post-treatment care costsHealth IT vendors adding oncology modules to electronic health record systems
Business applications

Who can put this to work

Digital Health / Health Tech
SME
Target: Companies developing patient monitoring or remote care platforms

If you are a digital health company building remote patient monitoring tools — this project developed a full AI-powered coaching platform with a mobile app for patients and a clinical dashboard for physicians, tested across multiple hospital sites in 7 countries. The system integrates wearable sensor data, clinical guidelines, and predictive models into one decision support backend. You could license the AI engine or coaching logic to add cancer survivorship features to your existing platform.

Pharmaceutical / Oncology
enterprise
Target: Pharma companies running oncology clinical trials or post-market surveillance

If you are a pharma company tracking adverse effects of cancer treatments — CAPABLE built a system that collects real-world patient data from wearable sensors, questionnaires, and clinical records to detect unexpected side effects. With 40 deliverables including a refined decision support system, this could serve as a digital companion tool for your clinical trials, improving adherence monitoring and giving you real-world evidence on treatment toxicity.

Hospital IT / Healthcare Systems
enterprise
Target: Hospital groups or health IT vendors modernizing oncology follow-up care

If you are a hospital network or health IT provider looking to shift cancer follow-up from costly in-person visits to remote monitoring — CAPABLE deployed a final platform version across multiple clinical sites with ethical approval, training materials, and a technical maintenance manual. The platform includes a guidelines-based decision component and statistical prediction engine, ready for integration into existing hospital information systems.

Frequently asked

Quick answers

What would it cost to adopt or license this technology?

The project data does not include pricing or licensing terms. The consortium includes 3 SMEs and 5 industry partners who may hold commercial rights. A licensing discussion would need to go through the coordinator at Universita degli Studi di Pavia or the relevant industry partners.

Can this scale beyond the pilot sites to a nationwide or multi-country deployment?

The platform was deployed across clinical sites in a 7-country consortium (Spain, Israel, Italy, Lithuania, Netherlands, Poland, UK). The final platform version includes a technical manual for maintenance and training materials, suggesting it was designed with broader deployment in mind. Scaling would require local regulatory approvals and hospital IT integration.

Who owns the IP and how is it licensed?

As a Horizon 2020 RIA project, IP typically belongs to the partners who generated it. With 12 consortium members including 5 industry partners and 3 SMEs, rights are likely shared. Specific licensing terms would need to be negotiated with the coordinator or the relevant technology-developing partners.

Does this meet regulatory requirements for medical software?

The project obtained ethical committee approval and developed informed patient consent forms across its clinical sites. However, CE marking or FDA clearance as a medical device is not confirmed in the deliverable data. Any commercial deployment would likely require Software as a Medical Device (SaMD) certification.

How long did development take and what's the current status?

The project ran for 4 years (January 2020 to January 2024) and is now closed. It progressed through 3 iterations of a platform proof of concept before delivering a final deployed version. All 40 planned deliverables were completed.

Can this integrate with existing hospital systems and electronic health records?

The backend decision support system was explicitly designed for integration, with a dedicated deliverable for a prototype ready for integration with the pilot system. The platform combines clinical data, wearable sensor data, and questionnaire data, suggesting standard health data interfaces were implemented.

Is there ongoing technical support or a development team behind this?

The project is closed, but the consortium of 12 partners across 7 countries — including 5 industry partners — represents a strong technical base. Training materials and a technical manual for maintenance were delivered, indicating the system was prepared for handover and continued operation.

Consortium

Who built it

The CAPABLE consortium is well-balanced for a health-tech project: 12 partners from 7 countries with a 42% industry ratio, meaning nearly half the team comes from the commercial side. The 5 industry partners and 3 SMEs signal genuine market intent beyond pure academic research. The coordinator is Universita degli Studi di Pavia in Italy, a strong academic anchor, while the geographic spread across Spain, Israel, Italy, Lithuania, Netherlands, Poland, and the UK provides diverse healthcare system exposure — important for any platform that needs to work across different clinical environments and regulatory contexts. The mix of 4 universities and 2 research organizations alongside the industry partners suggests the AI and clinical validation had serious scientific backing.

How to reach the team

Universita degli Studi di Pavia (Italy) — reach out to their research office or the project PI through the university directory

Order a report on this consortiumSee UNIVERSITA DEGLI STUDI DI PAVIA profile →
Next steps

Talk to the team behind this work.

Want an introduction to the CAPABLE team? SciTransfer can connect you with the right partner for licensing, integration, or deployment discussions.

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