Learning Hub

< BACK iPROLEPSIS at GRAPPA 2025: Advancing Digital Tools for Psoriatic Arthritis Care Jul 18, 2025 Exploring how digital biomarkers can support hand function assessment in real-world settings iPROLEPSIS participated in the GRAPPA Annual Meeting 2025 , held on 10–12 July in Bogotá, Colombia. Vasilis Charisis (Aristotle University of Thessaloniki – AUTH) presented an overview of the project’s key objectives and emerging results. The talk highlighted how digital biomarkers – captured via smartphone typing dynamics and video-based motor tasks – can support the assessment of hand function in real-world conditions. The session reached approximately 350 stakeholders, including clinicians, researchers, and industry representatives, helping raise awareness of iPROLEPSIS and its goals within the psoriatic disease community. 2.jpg 1.jpg 3.jpg 2.jpg 1/3 PREVIOUS NEXT

< BACK Advancing Psoriatic Arthritis: Rheumatologist Ilja Tchetverikov's Insights on iPROLEPSIS May 22, 2024 Exploring Innovative Approaches to Disease Management and Patient Care in Psoriatic Arthritis" Ilja Tchetverikov , a rheumatologist and project partner from the CICERO Foundation (the Netherlands), provides insights into the iPROLEPSIS project's endeavours. He emphasises the need for a deeper understanding of psoriatic arthritis , a chronic inflammatory condition impacting various body parts due to immune system disturbances. I. Tchetverikov highlights the project's focus on investigating disease progression factors and developing non-invasive measurement tools . “Everybody can measure anything, but then you have to know what you're measuring. The whole idea of the project is that we combine two strengths. One of them is providing and developing a technical solution on how to measure the disease activity. And from the other side, we are going to label the data coming in from the system, from the clinical point of view. So we will be able to say whether or not some people have a low or high level of disease activity. So it's one part of the investigation. The other part of the investigation is to see whether other factors, which are already known to influence the whole system of your human body, like stress factors and some, for instance, gut microbiome composition, can also change during the course of the disease and how they are influencing the course of the disease itself,” states Ilja Tchetverikov . Through a collaborative effort integrating clinical expertise and technical innovation, the project aims to assess disease activity levels and explore external factors accurately. https://www.youtube.com/watch?v=PcUHfHsWSVs iPROLEPSIS interview.png iPROLEPSIS interview.png 1/1 PREVIOUS NEXT

< BACK iPROLEPSIS Innovative Federated Learning Approach at IEEE IST 2023 Oct 23, 2023 Enhancing Federated Learning Through Advanced Weight Distribution Analysis IEEE International Conference on Imaging Systems and Techniques (IST) conference served as a platform for presenting iPROLEPSIS research in federated learning, specifically focusing on novel methods for weight aggregation. Title: Federated Learning Aggregation based on Weight Distribution Analysis Abstract: Federated learning has recently been proposed as a solution to the problem of using private or sensitive data for training a central deep model, without exchanging the local data. In federated learning, local models are trained on the client side using the available data, while a server is responsible for aggregating the weights of these models into a global model. However, the traditional weight averaging approach does not take into consideration the importance of the different weights for the performance of a model. To this end, this work proposes a novel federated learning weight aggregation method that estimates the statistical distance of each client's parameters from the Gaussianity, and weighs the contribution of each client to the global model accordingly so that the most significant information is retained and enhanced. To create an accurate global model, a complex weighted averaging of the parameters of clients' models at the layer level is performed, considering as low quality the parameters following the Gaussian distribution. The proposed method can be employed to both convolutional and linear layers and it is based on the notion that parameters following a Gaussian distribution do not significantly affect the output of a model. Experiments with different network architectures and a comparison with a plethora of state-of-the-art approaches on three well-known image classification datasets demonstrate the superiority of the proposed method for federated learning weight aggregation. Read the full publication here: (PDF) Federated Learning Aggregation based on Weight Distribution Analysis ( researchgate.net ) https://ieeexplore.ieee.org/document/10355708 1/1 PREVIOUS NEXT

< BACK Trustworthy AI in Digital Health: The iPROLEPSIS Approach Mar 28, 2025 iPROLEPSIS at Health Data Summit 2025 At Health Data Summit 2025 , organised by The European Institute for Innovation Through Health Data on March 18–19 in Brussels , Vasileios Charisis, PhD , from the Signal Processing & Biomedical Technology Unit - AUTH , presented iPROLEPSIS during the session “Trustworthy AI in Digital Health: From Guidelines to Practice”. The presentation outlined the methodology used in iPROLEPSIS to develop a trustworthy AI (TAI) framework tailored to the project’s specific needs. A case study on the Lifestyle Recommendation Engine demonstrated how it aligns with TAI principles and recommendations . The session also featured other Horizon Europe projects , including AI-PROGNOSIS, TRUSTroke, and STRATIFYHF , which presented their approaches to developing trustworthy digital health solutions . By bringing together different initiatives, the session highlighted the importance of trustworthy AI in healthcare , ensuring transparency, reliability, and ethical considerations in digital health innovations . 1/3 PREVIOUS NEXT

< BACK iPROLEPSIS Newsletter No. 6 Oct 9, 2024 Latest News from iPROLEPSIS Welcome to the 6th edition of the iPROLEPSIS newsletter. In this edition, we share the latest updates and progress from our project, including new developments, recent publications, and reflections on key events. iPROLEPSIS project newsletter_October 2024_ Issue No. 6 .pdf Download PDF • 4.41MB 1/1 PREVIOUS NEXT

< BACK State-of-the-art analysis and datasets landscape Nov 6, 2023 Initial review, focusing on the state-of-the-art literature and existing datasets in the field of PsA Psoriatic arthritis is a chronic immune-mediated inflammatory arthritis occurring in patients with PsO. The disease manifestation can be heterogeneous between subjects, and the resulting musculoskeletal impairment can interfere with physical function as well as the quality of life of patients. In a collaborative effort, the iPROLEPSIS partners completed an initial extensive review, focusing on the state-of-the-art literature and existing datasets in the field of PsA, with a special focus on flare dynamics. The primary goal was to enhance the understanding of PsA by investigating disease symptoms, factors associated with flares, and markers for disease development and monitoring. The insights gained from the literature will provide background for various aspects of iPROLEPSIS research, such as investigating PsA inflammation drivers and monitoring, developing the iPROLEPSIS digital health ecosystem for personalised preventive care, and conducting clinical studies. Moreover, various multi-source datasets have been identified that can potentially yield valuable information for the discovery of PsA inflammation drivers and the development of novel digital biomarkers and predictive models for disease monitoring and progression prognosis. The identified datasets will be assessed for relevancy and usability, retrieved, harmonised and curated. These datasets and predictive models will contribute to the research on PsA monitoring and inflammation drivers. In addition, the identified existing datasets will also guide the development of the Lifestyle AI-driven recommendation system and the Serious Games. The key takeaways are: Fatigue, pain and stiffness are commonly reported symptoms in PsA Flare may be triggered by alterations in mood, stress, sleep, bowel movements, and environmental factors Flare may affect mood, stress, sleep, bowel movements, physical activity and fine motor skills Certain symptoms of PsA may also trigger or be triggered by flare Clinical measurements of PsA symptoms and hypothesized flare associated factors, mainly include questionnaires The use of smartphone and wearables to monitor physical activity (mainly through accelerometer data), fine motor skills (through keystroke dynamics), heart rate, heart rate variability have also shown potential to measure PsA symptoms and hypothesized flare associated factors Electrography techniques can also be used in the assessment of certain symptoms and flare associated factors Genetic factors may contribute to development of PsA, pain perception and response to treatment. Gut microbiome may be involved in PsA. MCs in skin are suggested to play a role in skin inflammation Monitoring of PsA can be achieved through clinical examination for inflamed joints, enthesitis dactylitis, nail and skin and subsequent calculation of relative indices and composite scores Imaging-based approaches including images obtained from smartphones and optoacoustics represent a complementary or alternative approach to clinical assessment Data-driven models can serve to find predictive relations even when the underlying mechanisms are poorly understood or are too complex. Recommendations and SGs present a potential approach to modify and improve diet and physical activity Besides diet and physical activity, SGs can also address other aspects of disease, including medication adherence, social support, cognition, breathing, biological and neural function OMOP CDM was opted to be used for standardising the datasets Future steps include an update on state-of-the-art literature and measurement tools on the topics covered by initial research and the identification of new datasets that could be relevant for data-driven models. News & Events iPROLEPSIS - news.png News & Events iPROLEPSIS - news.png 1/1 PREVIOUS NEXT

< BACK Workshop at PETRA 2024: Advancing Personalised Health Through Multimodal Sensing and Innovative Environments Jan 25, 2024 Exploring the Future of Healthcare: AI-PROGNOSIS and iPROLEPSIS Projects Collaborate for Workshop on Human Health, Habits, and Behavior The workshop "AGENT - MultimodAl SiGnal Sensing/Analysis, Innovative Interactive Environments, and PersoNalized Behavioral Modeling for Improving QualiTy-of-Life" has been accepted in PETRA 2024! The workshop will be organised by the Centre for Research & Technology Hellas , Aristotle University of Thessaloniki , and Faculdade de Motricidade Humana in cooperation with the AI-PROGNOSIS and iPROLEPSIS projects. More info about the workshop: http://www.petrae.org/workshops/AGENT.html AI-PROGNOSIS is a Horizon Europe-funded project developing Artificial intelligence-based solutions for #Parkinson 's disease risk assessment and prognosis. iPROLEPSIS is a Horizon Europe-funded project developing a novel personalised digital care ecosystem for people with #Psoriatic #arthritis . The workshop aims to attract an interdisciplinary group of researchers involved in research related to early detection, assessment and monitoring of human health, habits and behaviour. The workshop will focus on novel technologies applied in real or virtual environments and aim to enhance the quality of daily living, especially for people with disabilities or patients suffering from chronic conditions. About PETRA 2024: PETRA (PErvasive Technologies Related to Assistive Environments) is a premier interdisciplinary conference focusing on computational and engineering approaches to enhance human performance and improve the quality of life. Join us in exploring the latest advancements in assistive technologies across various settings. More info: http://www.petrae.org/index.html Looking forward to an enriching exchange of ideas and knowledge at PETRA 2024! Banner1-2024.png Banner1-2024.png 1/1 PREVIOUS NEXT

< BACK iPROLEPSIS Newsletter No. 8 Apr 28, 2025 Latest News from iPROLEPSIS Welcome to the eighth edition of the iPROLEPSIS newsletter, where we share the latest updates and progress from the project. iPROLEPSIS project newsletter Issue No. 8_Apr 2025 .pdf Download PDF • 3.38MB 1/1 PREVIOUS NEXT

< BACK Psoriatic Arthritis Awareness Day Sep 28, 2023 iPROLEPSIS project is joining to celebrate the Psoriatic Arthritis Awareness Day This September 28th, the iPROLEPSIS project is joining to celebrate Psoriatic Arthritis Awareness Day, dedicated to raising awareness of the painful inflammatory disease often linked with psoriasis. iPROLEPSIS is a research and innovation initiative. The project uses cutting-edge technology and AI to develop a novel personalised digital care ecosystem for people with Psoriatic Arthritis. Join us on September 28th and help reshape the future of Psoriatic Arthritis care! https://video.wixstatic.com/video/981fae_b35edf1e5e4144c786e814aec1d1a28f/1080p/mp4/file.mp4 News & Events iPROLEPSIS - events.png News & Events iPROLEPSIS - events.png 1/1 PREVIOUS NEXT

< BACK iPROLEPSIS Newsletter No. 5 Jul 10, 2024 Discover Insights from Clinicians, Collaborative Efforts, and Key Events Welcome to the fifth edition of the iPROLEPSIS project newsletter. In this issue, we bring you insightful interviews with clinicians specialising in psoriatic arthritis, insights into recent clustering and networking activities, and reflections on key past events. iPROLEPSIS_Newsletter No. 5 .pdf Download PDF • 8.01MB 1/1 PREVIOUS NEXT

Learning Hub Explore resources to help you understand and manage psoriatic arthritis. Learning hub Key Facts Handbook News Feed Quizzes Search What causes psoriatic arthritis? See related Handbook section PREVIOUS NEXT

< BACK The iPROLEPSIS Learning Hub Has Been Renewed Oct 14, 2025 A refreshed space to learn more about psoriatic arthritis The iPROLEPSIS Learning Hub has been renewed with a new design, structure, and additional content to make exploring its materials more intuitive and engaging. The updated platform offers accessible information and practical resources related to psoriatic arthritis , supporting users who wish to learn more about the condition and its management. Explore resources on psoriatic arthritis The renewed Learning Hub brings together several sections that guide visitors through different aspects of the condition: Psoriatic Arthritis Handbook – an overview of psoriatic arthritis, including symptoms, diagnosis, and management. Key Facts – short explanations and definitions to help understand key topics. Interactive Quizzes – quick checks to support learning in an engaging way. News Feed – a selection of updates and materials from external, recognised sources. A space to learn and stay informed The Learning Hub offers a simple way to explore information about psoriatic arthritis and to learn more about its characteristics, treatment approaches, and impact on daily life. Visit the renewed Learning Hub : https://www.iprolepsis.eu/learning-hub-new iPROLEPSIS_Learning Hub.png iPROLEPSIS_Learning Hub.png 1/1 PREVIOUS NEXT