@aiprognosis

AI-PROGNOSIS - a Horizon Europe-funded project developing Artificial intelligence-based solution for Parkinson’s disease risk assessment and prognosis.

ai-prognosis.eu
Joined June 2023
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@aiprognosis publication in IEEE Internet of Things Magazine on wearable sensor-based assessment of rest tremor and dyskinesia in Parkinson’s disease. ieeexplore.ieee.org/document… #ParkinsonsDisease #WearableSensors #AI
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@aiprognosis publication in IEEE Internet of Things Magazine on wearable sensor-based assessment of rest tremor and dyskinesia in Parkinson’s disease. ieeexplore.ieee.org/document… #ParkinsonsDisease #WearableSensors #AI
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New @aiprognosis publication in IEEE Internet of Things Magazine on wearable sensor-based assessment of rest tremor and dyskinesia in Parkinson’s disease. ieeexplore.ieee.org/document… #ParkinsonsDisease #WearableSensors #AI
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New @aiprognosis publication in IEEE Internet of Things Magazine on wearable sensor-based assessment of rest tremor and dyskinesia in Parkinson’s disease. ieeexplore.ieee.org/document… #ParkinsonsDisease #WearableSensors #AI
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@aiprognosis research presented at IEEE BSN 2026 Nikos Grammalidis (CERTH) presented “Clustering-Constrained Attention Learning for Wearable-Based Rest Tremor Assessment” in Porto. 🔗 openreview.net/pdf?id=Ab4lms… #BSN2026 #ParkinsonsDisease #DigitalHealth
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📌 @aiprognosis research presented at IEEE BSN 2026 Nikos Grammalidis (CERTH) presented “Clustering-Constrained Attention Learning for Wearable-Based Rest Tremor Assessment” in Porto. 🔗 openreview.net/pdf?id=Ab4lms… #BSN2026 #ParkinsonsDisease #DigitalHealth
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A key @aiprognosis milestone: recruitment for the AI-PMP study is now complete! 103 participants were recruited, exceeding the study target. ai-prognosis.eu/news/ai-pmp-… #ParkinsonsDisease #DigitalHealth
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@aiprognosis at #SEEIC2026 On 16–17 September, project partner SquareDev participated in SEEIC 2026 in Niš, Serbia, showcasing its AI activities and solutions and raising awareness of the @aiprognosis project. #ArtificialIntelligence #Innovation #HealthTech
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@aiprognosis at the 2026 #MDSCongress | Days 3–5 The final days in Seoul brought more project research, including smartphone-based motor assessment, smartwatch data, AI-based progression prediction and work on prodromal Parkinson’s disease. More below 👇
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Natalia del Campo (CHUT) presented “AI-based Progression and Medication Response Prediction in Parkinson's Disease: the AI-PMP Study Protocol”, outlining the study’s proof-of-concept AI models for PD progression and medication response prediction.
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Margherita Fabbri (CHUT) gave a talk on early/prodromal PD as part of a session focusing on under-recognized non-motor aspects of Parkinson’s disease and how prodromal stages can vary between individuals.
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@aiprognosis at the 2026 #MDSCongress Over the first two days, team members presented work on AI-based Parkinson’s disease risk prediction and wearable-derived sleep and activity metrics in people with PD, at-risk individuals and healthy controls. More on the posters below 👇
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Eduardo de Pablo-Fernández (QMUL) presented “An artificial intelligence-based model to predict Parkinson’s disease risk: The AI-PRA study”, outlining the AI-PRA study and its proof-of-concept AI-based PD detection model.
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Ioannis Gerasimou (AUTH) presented “Differences in Sleep and Activity Digital Phenotypes from Wrist Accelerometry in Parkinson’s Disease, At-Risk Individuals, and Healthy Controls”, sharing evidence on wearable-based sleep and activity metrics for screening people at risk of PD.
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The @aiprognosis digital health ecosystem brings together mAI-Health, mAI-Care & mAI-Insights to support Parkinson’s disease screening, disease management and clinical decision-making. The applications have now matured into functional MVPs. 🔗 zenodo.org/records/21103398
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@aiprognosis will be at the MDS International Congress 2026 in Seoul, presenting research from the project. 📅 4–8 October 🔗 mdscongress.org/ #ParkinsonsDisease #DigitalHealth
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@aiprognosis researcher Sara Riggare was featured in @Being_Patient discussing self-tracking, Parkinson’s disease and the use of generative AI. The article also highlights AI-PROGNOSIS-supported research involving 149 people with Parkinson’s. 🔗 beingpatient.com/parkinsons-…

What a Parkinson’s Researcher Learned From Tracking Her Own Disease

Sara Riggare has lived with Parkinson’s symptoms for decades. She shares tips on self-tracking medications, symptoms, and using AI.

beingpatient.com
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From chess matches to healthcare research. ♟️🤖 Over 70 years, AI has evolved from early experiments to applications across everyday life and research. In @aiprognosis, AI is being investigated in Parkinson’s disease research, including risk, progression and medication response.
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ai-prognosis.eu/

AI-PROGNOSIS | novel AI models

AI-PROGNOSIS project aims to advance Parkinson’s disease diagnosis and care through novel predictive models combined with digital biomarkers from everyday devices.

ai-prognosis.eu
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