AI-PROGNOSIS

📚 The @aiprognosis.bsky.social Learning Hub article “Living with Parkinson’s Disease” is now available in German (Leben mit Parkinson (PK)).

Holistic care and self-management in Parkinson’s disease.
www.ai-prognosis.eu/articles-de/...

#ParkinsonsDisease #PDAwareness

🧠 How much do you know about AI and early detection of Parkinson’s disease?
Early diagnosis can be challenging. AI is being explored to support identification of early signs.

Take the @aiprognosis.bsky.social quiz and test your knowledge 👇
www.ai-prognosis.eu/quiz-1/ai-an...

#Parkinsons

📚 New @aiprognosis publication
“On capturing effects of medication change in Parkinson's disease with wrist accelerometry-based digital biomarkers” .

Exploring wrist-based #DigitalBiomarkers and medication-related motor changes in PD.

🔗 zenodo.org/records/1849...

#Parkinsonsdisease #Wearables

New @aiprognosis.bsky.social publication: A Deep Learning Approach for Parkinsonian Tremor Assessment Using Wearables presents a deep learning–based framework for detecting Parkinsonian tremor using data from wrist-worn devices.

🔗 zenodo.org/records/1846...

#Parkinsonsdisease #DeepLearning

📚 Journey to a Parkinson’s Diagnosis
This @aiprognosis.bsky.social Learning Hub article is now available in German (Der Weg zu einer Parkinson-Diagnose), supporting broader access to information for people living with PD.
www.ai-prognosis.eu/articles-de/...

#ParkinsonsDisease #PDAwareness

On 17 Jan 2026, Beatriz Alves (FMH-ULisboa) presented the
@aiprognosis.bsky.social project to MSc students of Advanced Practice of Neurological Physiotherapy in Setúbal, Portugal. The session also introduced the Ai-PROGNOSIS web survey: ai-prognosis.eu/survey

#DigitalHealth #ParkinsonsDisease

Publications | AI-PROGNOSIS Discover more about AI-PROGNOSIS project for advance Parkinson’s disease reserch, diagnosis and care. #Parkinsonsdisease #AIPrognosis

Explore @aiprognosis.bsky.social scientific publications, addressing Parkinson’s disease through AI-driven digital assessment and patient-centred co-creation approaches:
👉 ai-prognosis.eu/publications

#ParkinsonsDisease #DigitalHealthInnovation

New @aiprognosis.bsky.social publication:
“Wrist Accelerometry-based Digital Assessment of Slowness of Movement in Parkinson’s Disease: a Multi-Cohort Analysis” (Gerasimou et al.).

zenodo.org/records/1822...

We hope this holiday season brings you moments of joy and time to relax with loved ones.

We wish you good health, happiness, and a positive start to the new year.
Happy Holidays! 🎄 ✨

@aiprognosis.bsky.social

@aiprognosis.bsky.social featured at the MDS AI course
Dr Margherita Fabbri presented on wearables & video analysis for Parkinson’s disease, introducing the AI-PROGNOSIS clinical study to a multidisciplinary audience.

#ParkinsonsDisease #DigitalHealth #AIinHealthcare

📍Dr Margherita Fabbri will present @aiprognosis.bsky.social in her lecture on wearables and video analysis for Parkinson’s at the upcoming MDS course this Friday, 12 Dec.
More details: education.movementdisorders.org/Detail/1049/...

How much do you know about living with Parkinson’s?
From self-care to exercise and treatment, managing PD goes far beyond motor symptoms.
Take the quiz: ai-prognosis.eu/quiz-1/livin...

#Parkinsons #ParkinsonsDisease #PDeducation

📚 On 20 Nov, @aiprognosis.bsky.social was presented at FMH during the PhD seminar “Métodos de Investigação Avançada em Motricidade Humana”.
Sofia Balula Dias shared key findings from our recent research with 20+ PhD students.

#AIPROGNOSIS #ParkinsonsDisease #DigitalHealth

PDualNet: a deep learning framework for joint prediction of Parkinson’s disease progression subtype and MDS-UPDRS scores - Scientific Reports Scientific Reports - PDualNet: a deep learning framework for joint prediction of Parkinson’s disease progression subtype and MDS-UPDRS scores

📚 New publication from @aiprognosis.bsky.social is now available in Nature Scientific Reports:
PDualNet: a deep learning framework for joint prediction of Parkinson’s disease progression subtype and MDS-UPDRS scores
Read the full paper: nature.com/articles/s41...

#Parkinsons #HorizonEU

✔️ We wrapped up the second day of the @aiprognosis.bsky.social 6th Plenary Meeting with productive discussions and clear priorities for the months ahead.

A warm thank-you to The Cyprus Institute of Neurology & Genetics for hosting us in Nicosia 😊

#ParkinsonsDisease #HorizonEurope

💡Today we opened the @aiprognosis.bsky.social 6th Plenary Meeting, hosted by the Cyprus Institute of Neurology & Genetics (CING) in Nicosia.
The consortium reviewed project progress and shared updates on current research activities.
Looking forward to tomorrow’s sessions.
#Parkinsons

The @aiprognosis.bsky.social team is heading to Nicosia for our 6th Plenary Meeting on 26–27 November.
We’ll review progress, share updates, and plan the next steps for advancing AI tools in Parkinson’s care.
Follow our work 👉 ai-prognosis.eu

#DigitalHealth #ParkinsonsDisease #HorizonEurope

📄 New on the @aiprognosis.bsky.social Learning Hub:
Predicting Parkinson’s Progression with AI
The article outlines current research, key challenges, and why prognostic information must be shared with care.
🔗 www.ai-prognosis.eu/learning-hub...

#ParkinsonsDisease #AI

@aiprognosis.bsky.social at DGN 2025
Dr. Arnfin Bergmann and Niloofar Tavakoli (NeuroTransData) presented the project to clinicians, highlighting its clinical relevance. The project was also shared during an NTD Shareholders Meeting to support further clinical engagement.
#Parkinsons #HorizonEurope

Webinar: Parkinson’s Disease and Artificial Intelligence – What Does AI Mean for Those of Us Living with Parkinson’s? | AI-PROGNOSIS

Artificial intelligence – or AI – is everywhere today. But what does it mean for people with Parkinson’s and their families? Join this Swedish-language webinar from Uppsala University and @aiprognosis.bsky.social

👉 More info ai-prognosis.eu/event-detail...

📌 Webinar (in Swedish): Parkinson’s Disease & Artificial Intelligence. What does AI really mean for people with Parkinson’s and their families?
🗓️ 25 Nov 2025 | 17:00–18:30 CET
Sara Riggare & Therese Scott Duncan, Uppsala University
👉 Register: shorturl.at/nSMP2

#Parkinsons

💡 #HealthCom2025 – Workshop Chairing
Stelios Hadjidimitriou (AUTH) co-chaired the workshop “AI-enabled Digital Health Tools for Non-Communicable Diseases”, co-organised with @iprolepsis.bsky.social .
Featured research on #Parkinson’s, psoriatic arthritis, MS & post-stroke rehab.

#HorizonEU

The @aiprognosis.bsky.social project and the AI-enabled digital health tools it develops for assisting #Parkinson's disease screening and care were highlighted as a case study of AI solutions with the potential of improving health outcomes of persons with non-communicable diseases.

At #HealthCom2025 in Abu Dhabi, the AI-PROGNOSIS team joined the panel “Digital Bridges for Better Health: AI Innovation from Europe to MENA”
Discussion covered AI integration, patient engagement, and cross-regional collaboration in digital health.

#DigitalHealth #AIinHealthcare #PatientEngagement

The 8th @aiprognosis.bsky.social Newsletter is out.
Explore our latest updates on:
• Ongoing survey on AI in Parkinson’s care
• New Learning Hub articles on Parkinson’s & AI
• Highlights from IEEE HealthCom 2025 and other events

Read more www.ai-prognosis.eu/_files/ugd/9...

#ParkinsonsDisease

💡 #HealthCom2025 Highlight 2
The paper “A Deep Learning Approach for Parkinsonian Tremor Assessment Using Wearables” by Theocharis Chatzis and team at CERTH received the Best Workshop Paper Award 🏆

#ParkinsonsDisease #DigitalBiomarkers #Wearables #DeepLearning

At IEEE #HealthCom2025, Apostolos Moustaklis (AUTH) presented “On capturing effects of medication change in #Parkinson’s disease with wrist accelerometry-based digital biomarkers”. Using Verily Study Watch data (PPMI), the study showed wrist metrics can reflect effects of higher medication doses.

Preliminary results from the @aiprognosis.bsky.social survey show symptom tracking as the most valued AI feature.
PwP highlight motor symptoms, professionals non-motor ones.

Do these findings reflect your experience?
👉Take the survey and share your opinion www.ai-prognosis.eu/survey

#parkinsons

Using AI to strengthen Parkinson’s diagnosis Diagnosing Parkinson’s disease (PD) can be challenging, especially in the early stages. The early symptoms can be subtle or overlap with other disorders, and PD is defined clinically, so there is no l...

AI tools are being explored to help detect Parkinson’s disease earlier and support clinicians in diagnosis.
New article now on the @aiprognosis.bsky.social
Learning Hub: Using AI to Strengthen Parkinson’s Diagnosis
👉 Read here: ai-prognosis.eu/learning-hub...

#Parkinsonsdisease #HealthTech

@aiprognosis.bsky.social joins #IEEEHealthCom 2025 in Abu Dhabi. Project team members will join Panel I: Digital Bridges for Better Health – AI Innovation from Europe to MENA.
🔗 Detailed programme: healthcom2025.ieee-healthcom.org/program/detailed-program

#DigitalHealth #HealthTech