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PartnershipUpdated on 18 November 2025

Adaptive wearable-guided physical activity progression for chronic pain: seeking partners in personalised medicine and multimodal data integration

Clinician and researcher at Nimes University Hospital

Nimes, France

About

We are developing an adaptive, wearable-guided system to personalise physical activity progression for people with chronic musculoskeletal pain. Using multimodal data from wearables (accelerometry, HR, HRV, sleep) combined with patient-reported symptoms, our algorithm will dynamically adjust activity targets to improve safety, engagement, and long-term outcomes.

We are seeking European partners to build a strong consortium for personalised medicine calls. Ideal collaborators include:
• Clinical teams working in chronic pain or other chronic diseases where physical activity progression is key (cardiac rehab, oncology, metabolic conditions).
• Research groups specialising in multimodal data fusion, adaptive modelling, behavioural monitoring, or explainable AI.
• Teams in ethics, patient experience, or acceptability research.
• Industrial/digital health partners interested in co-developing patient interfaces or secure data integration tools.

We offer a robust clinical testbed in France (CHU Nîmes / Montpellier) and strong expertise in rehabilitation, movement science, and wearable analytics. Together, we aim to test and demonstrate a personalised, scalable solution for real-world rehabilitation.

Looking for

  • Academia
  • Enterprise
  • Industry Partner
  • Clinical Organisation

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