Learning Hub

< BACK iPROLEPSIS Games Pitch video from HiTech 2025 Jul 24, 2025 iPROLEPSIS Games presented during the HiSeedTech programme The iPROLEPSIS Games were presented at HiTech 2025 , a program by HiSeedTech. The pitch introduced the use of serious games to support treatment for Psoriatic Arthritis (PsA) , focusing on symptoms like mobility, pain, breathing, and emotional well-being. Watch the presentation here: HiTech 2025.png HiTech 2025.png 1/1 PREVIOUS NEXT

< BACK Federated AI for Privacy-Preserving Omics Profiling seminar Jun 18, 2024 Advancing Knowledge in Privacy-Preserving AI for Omics Profiling On 18 June 2024, iPROLEPSIS had the opportunity to attend an online seminar organised by our sister project, IMMEDIATE EU Project. The seminar's topic was Federated AI for Privacy-Preserving Omics Profiling, presented by Prof. Dr. Jan Baumbach. Prof. Baumbach is the chair of the Computational Systems Biology lab at the University of Hamburg and leads the Computational BioMedicine group at the University of Southern Denmark. A big thank you to Prof. Baumbach for sharing his expertise and insights on this cutting-edge topic! 1/14 PREVIOUS NEXT

< BACK Fostering Synergy: iPROLEPSIS and DHU Partnership Aug 31, 2023 Exploring Collaboration and Synergies with Digital Health Uptake Project This week, we had a fantastic opportunity to connect with Anett Ruszanov, the representative of empirica, the coordinating organisation of the Digital Health Uptake (DHU) project. Our discussion focused on exploring collaboration and networking opportunities between iPROLEPSIS and DHU. The Digital Health Uptake (DHU) project, funded through the Digital Europe Programme, is dedicated to aligning policies, strategies, instruments, and activities to promote the adoption of digital health solutions and services across Europe. DHU's efforts are categorized into three key aspects: RADAR, KNOWLEDGE COMMUNITY, and ACCELERATOR. During the conversation, Prof. Leontios Hadjileontiadis, iPROLEPSIS project coordinator, and Anett Ruszanov discussed possibilities for collaboration and synergies, such as mutual promotion of relevant news and events through websites, newsletters, and social media, as well as potential co-organisation of events. This dynamic conversation paved the way for the next steps in our partnership. We greatly appreciate this initiative and eagerly anticipate the next steps in our partnership! News & Events iPROLEPSIS - news.png News & Events iPROLEPSIS - news.png 1/1 PREVIOUS NEXT

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< 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

< BACK DHU extends Call for Twinnings Deadline until October 13! Sep 20, 2023 DigitalHealthUptake (DHU) project has extended the submission deadline of the twinning applications In a move that promises to fuel innovation and support the acceleration of digital health initiatives, we are thrilled to announce that our synergy partner project, the DigitalHealthUptake (DHU) project, has extended the submission deadline of the twinning applications until October 13, 2023. Why apply for the DHU Call for Twinnings? Participating in the DHU Call for Twinnings offers a multitude of advantages: Knowledge Exchange: Engage in fruitful knowledge sharing with fellow innovators, gaining fresh insights and perspectives. Access to Innovative Solutions: Unlock the door to cutting-edge digital health solutions that can revolutionise healthcare in Europe. Networking Opportunities: Connect with a diverse and influential network of industry experts, thought leaders, and change-makers. Funding for Transformation: Access financial support to implement transformative digital applications, accelerating progress and impact in the health and care domain. What types of twinnings are being funded? Citizen/patient-focused twinning topics: Digital tools to support health education (health literacy), digital health literacy mHealth systems, wearable devices for monitoring and prevention, alerts, reminders Digital tools to support patient feedback and reporting of outcomes and experiences Digital tools to support proactive prevention, self-management, homecare, telemonitoring Tele-mentoring/coaching, virtual consultations, virtual coach, personal assistant ICT supporting adherence to medication and care plans Robotics (e.g., companion robots) Use of digital therapeutics Tools and services supporting independent living, ambient assisted living technologies, telecare Care practitioner-focused twinning topics: Advanced digital tools to support Integrated Care, including integration of health and social care services Interoperable digital solutions to support person-centred and integrated care Regional and national Electronic Health Record (EHR) systems and ePrescription solutions enabling person-centred care Regional, national and local Electronic Integrated Care Record (EICR) systems, integration of EHR and social care records Digital shared care plans (e.g., support to multi-disciplinary team(s)) Decision support for multi-morbidity and polypharmacy management ICT support for management of frailty ICT support for falls prevention eLearning to support workforce development for person-centred integrated care Important links Ready to take the next step? Here are some crucial links you'll need: How to apply: Access the application form here . Q&A document: Got questions? Check our Q&A document for answers. Webinar recording: Missed our informative webinar on the call? No problem! You can watch the recording here. Don't miss out on this opportunity to accelerate digital health solutions in Europe. Apply now! News & Events iPROLEPSIS - events.png News & Events iPROLEPSIS - events.png 1/1 PREVIOUS NEXT

< BACK iPROLEPSIS at the European Researchers’ Night 2025 Oct 2, 2025 Presentation of the iPROLEPSIS Games in Oeiras, Portugal by FMH/IST-ULisboa researchers On 26 September 2025, iPROLEPSIS took part in the European Researchers’ Night in Oeiras, Portugal. Researchers Bárbara Ramalho, Samuel Gomes, Filipa Magalhães, and Rodolfo Costa from Faculdade de Motricidade Humana / Instituto Superior Técnico - ULisboa presented the iPROLEPSIS Games to a wide audience. The European Researchers’ Night is an annual initiative that brings science closer to the public, creating opportunities for direct interaction between researchers and society. Visitors in Oeiras engaged with activities from different scientific fields, including interactive presentations and hands-on demonstrations, designed to raise awareness of ongoing research and its impact. WhatsApp Image 2025-09-27 at 14.12.22.jpeg WhatsApp Image 2025-09-27 at 14.12.23.jpeg WhatsApp Image 2025-09-27 at 14.12.25.jpeg WhatsApp Image 2025-09-27 at 14.12.22.jpeg 1/7 PREVIOUS NEXT

< BACK Insights from the Psoriasispatiënten Nederland Information Afternoon Nov 11, 2024 Reflection on the recent information afternoon for patients with psoriasis and psoriatic arthritis hosted by Psoriasispatiënten Nederland On 9 November 2024, in celebration of World Psoriasis Day , Psoriasispatiënten Nederland (Psoriasis Patients Netherlands) hosted an informative event in Nijkerk (the Netherlands). With over 90 attende es, the event was a great success, offering valuable insights and fostering connections among patients, clinicians, and researchers. The event aimed to offer the latest information on psoriasis and psoriatic arthritis while fostering discussions on treatment options and research advancements. A diverse range of expert presentations and interactive sessions enhanced attendees' understanding and contributed to improving patient care. During breaks, participants had the opportunity to visit several information stands and engage with researchers and specialists. iPROLEPSIS was represented by Jolanda Luime ( Erasmus MC ) , who shared insights into the ongoing research project focused on the prevention and early diagnosis of psoriatic arthritis. The event proved to be an insightful and inspiring day, bringing together a diverse group of patients, researchers, and healthcare professionals. The discussions, networking opportunities, and practical sessions contributed to a deeper understanding of psoriatic arthritis and psoriasis, making it a valuable experience for all involved. Read more: Terugblik op de afgelopen informatiemiddag - Psoriasispatiënten Nederland 1/6 PREVIOUS NEXT

< BACK Insights from iPROLEPSIS 4th Plenary meeting Jul 3, 2024 iPROLEPSIS Plenary Meeting 2024 Recap The 4th iPROLEPSIS plenary meeting took place on 1-2 July 2024 in Munich, Germany, drawing partners from across Europe. The focus was on discussing progress updates and planning future actions towards developing a novel personalised digital care ecosystem for people with Psoriatic Arthritis (PsA). Agenda included: WP overviews, updates and planning next steps General Assembly & External Advisory Board sessions Workshop on : - IDBV (Inflammation digital biomarkers validation study) study: Overview of outcomes, data collection decisions, next steps; - PPIDC (Prevention of PsA inflammation through digital care: an intervention study) study: Objectives, cohort characteristics, study design. WP3 research activities and upcoming deliverables; - iPROLEPSIS ecosystem co-creation, usage scenarios identification, requirements definition; - Serious games co-creation: Introduction to iPROLEPSIS Games app, demonstrations, interactive feedback session. Special Acknowledgment: Gratitude to our patient partners who joined the Serious Games co-creation workshop online and provided valuable insights, ensuring our solutions are truly patient-centric. 1/10 PREVIOUS NEXT

< 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 AI-Driven Nutrition: Advanced Personal Dietary Recommendations through Deep Generative Models and ChatGPT Jun 25, 2024 AI Nutrition Recommendation Using a Deep Generative Model and ChatGPT A recent scientific report titled "AI Nutrition Recommendation Using a Deep Generative Model and ChatGPT," authored by Ilias Papastratis, Dimitrios Konstantinidis, Petros Daras, and Kosmas Dimitropoulos, introduces a novel approach to personalised dietary recommendations. This research was conducted as part of the iPROLEPSIS project. Abstract: In recent years, major advances in artificial intelligence (AI) have led to the development of powerful AI systems for use in the field of nutrition in order to enhance personalized dietary recommendations and improve overall health and well-being. However, the lack of guidelines from nutritional experts has raised questions on the accuracy and trustworthiness of the nutritional advice provided by such AI systems. This paper aims to address this issue by introducing a novel AI-based nutrition recommendation method that leverages the speed and explainability of a deep generative network and the use of novel sophisticated loss functions to align the network with established nutritional guidelines. The use of a variational autoencoder to robustly model the anthropometric measurements and medical condition of users in a descriptive latent space, as well as the use of an optimizer to adjust meal quantities based on users’ energy requirements enable the proposed method to generate highly accurate, nutritious and personalized weekly meal plans. Coupled with the ability of ChatGPT to provide an unparalleled pool of meals from various cuisines, the proposed method can achieve increased meal variety, accuracy and generalization capabilities. Extensive experiments on 3000 virtual user profiles and 84000 daily meal plans, as well as 1000 real profiles and 7000 daily meal plans, demonstrate the exceptional accuracy of the proposed diet recommendation method in generating weekly meal plans that are appropriate for the users in terms of energy intake and nutritional requirements, as well as the easiness with which it can be integrated into future diet recommendation systems. Read the full publication: https://www.nature.com/articles/s41598-024-65438-x AI Nutrition Recommendation Using a Deep Generative Model and ChatGPT .pdf Download PDF • 4.37MB 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