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- iPROLEPSIS at the 2nd Healthy Longevity Symposium | iPROLEPSIS
< BACK iPROLEPSIS at the 2nd Healthy Longevity Symposium Nov 21, 2024 Showcasing the Serious Game Suite for PsA at the Healthy Longevity Symposium The iPROLEPSIS project coordinator, Prof. Leontios Hadjileontiadis , presented the Serious Game Suite for Psoriatic arthritis patients at the 2nd Healthy Longevity Symposium , held by Khalifa University in Abu Dhabi on 21-22 November 2024. The symposium gathered leading experts to explore key topics related to longevity and aging, which is recognised as the root cause of many chronic diseases. The event focused on the latest advancements in aging mechanisms, genomic precision medicine, rejuvenation, and social health policies. Discussions highlighted the potential of AI, advanced technologies, and precision medicine to address the challenges of aging, slow age-related diseases, and improve overall well-being. By integrating cutting-edge research and technology, iPROLEPSIS is advancing innovative solutions aimed at improving the lives of people living with PsA. 1/2 PREVIOUS NEXT
- iPROLEPSIS Innovative Federated Learning Approach at IEEE IST 2023 | iPROLEPSIS
< 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
- How will psoriatic arthritis affect me? Sleep and Fatigue | iPROLEPSIS
Learning Hub Explore resources to help you understand and manage psoriatic arthritis. Learning hub Key Facts Handbook News Feed Quizzes Search How will psoriatic arthritis affect me? Sleep and Fatigue See related Handbook section PREVIOUS NEXT
- How is psoriatic arthritis treated? Drug treatments | iPROLEPSIS
Learning Hub Explore resources to help you understand and manage psoriatic arthritis. Learning hub Key Facts Handbook News Feed Quizzes Search How is psoriatic arthritis treated? Drug treatments See related Handbook section PREVIOUS NEXT
- iPROLEPSIS Games Showcased at Lisboa Games Week 2025 | iPROLEPSIS
< BACK iPROLEPSIS Games Showcased at Lisboa Games Week 2025 Nov 24, 2025 The FMH/IST-ULisboa team presented the iPROLEPSIS Games, connecting with the gaming community and industry stakeholders The iPROLEPSIS Games were presented at Lisboa Games Week 2025 , held from 20–23 November in Portugal. The team from Faculdade de Motricidade Humana / Instituto Superior Técnico – ULisboa (Bárbara Ramalho, Samuel Gomes, Marta Vicente, Filipa Magalhães and Rodolfo Costa) showcased the serious games developed within the project. Lisboa Games Week is an event that reinforces the role of academic and professional training in the video game industry. Educational institutions present courses, projects, and programmes related to video game development, digital art, programming, design, animation, sound, virtual reality, artificial intelligence, and other technological and creative fields. The programme includes exhibitions, practical demonstrations, vocational guidance sessions, talks, and opportunities for direct contact with industry. Participation in this event provided a platform for presenting the iPROLEPSIS Games within a setting focused on education, creativity, and technological development. 🔗 https://lisboagamesweek.pt/ LGWPhoto4.jpeg LGWPhoto3.jpeg LGWPhoto3.jpeg LGWPhoto4.jpeg 1/4 PREVIOUS NEXT
- iPROLEPSIS Newsletter No. 6 | iPROLEPSIS
< 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
- Trustworthy AI in Digital Health: The iPROLEPSIS Approach | iPROLEPSIS
< 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
- iPROLEPSIS Newsletter No. 5 | iPROLEPSIS
< 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
- iPROLEPSIS joins the YouTube channel | iPROLEPSIS
< BACK iPROLEPSIS joins the YouTube channel Jan 23, 2024 Join Our Digital Journey – Follow iPROLEPSIS on YouTube iPROLEPSIS has officially joined the YouTube community . Follow our YouTube Channel: iPROLEPSIS - YouTube . Join us as we delve into novel digital solutions for psoriatic arthritis. Stay tuned for informative and engaging content! transparent-glass-bubble-with-youtube-logo-inside-it.jpg transparent-glass-bubble-with-youtube-logo-inside-it.jpg 1/1 PREVIOUS NEXT
- Developing Sensorimotor Art Games for Psoriatic Arthritis using Agile Storyboarding and Game Co-Design Processes | iPROLEPSIS
< BACK Developing Sensorimotor Art Games for Psoriatic Arthritis using Agile Storyboarding and Game Co-Design Processes Jul 31, 2024 Innovative Sensorimotor Art Games for Psoriatic Arthritis: Agile Storyboarding and Co-Design Approaches Serious Games (SGs) have the potential to provide clinical care and enhance patients’ quality of life, while incorporating an element of entertainment. As part of the iPROLEPSIS Horizon Europe project, we introduce two Sensorimotor Art games designed as SGs to assist Psoriatic Arthritis (PsA) patients in managing their symptoms. These SGs provide a platform for self-expression and pain relief through engaging in rhythmic puzzle activities. The co-design process for the proposed Sensorimotor Art games followed an agile methodology, involving 14 experts (including clinicians, researchers, and game developers), to gather feedback on game requirements, storyboards, and mechanics. From the thematic analysis of the transcribed discussion, four main themes emerged, namely: Clinical value (Theme 1), Motor skills and adaptation (Theme 2), Creative engagement (Theme 3), and Feedback and future directions (Theme 4). Clinical value underlines the therapeutic benefits of Sensorimotor Art games for pain distraction and emotional well-being. Motor skills and adaptation focus on hand/finger use and adapting games for older patients. Creative engagement emphasizes fostering creativity, a positive environment, and goal achievement. Finally, Feedback and future directions highlight the importance of continuous feedback and occupational therapists’ involvement in coming sessions. The development of Sensorimotor Art games lays the groundwork for digital interventions to alleviate psychological distress and improve fine motor symptoms in PsA patients. At the same time, these SGs can also provide insights to healthcare providers and policymakers for developing future digital solutions tailored to PsA patients. Read the full publication: https://zenodo.org/records/13142606 Ramalho et al_DSAI_2024 .pdf Download PDF • 1.29MB 1/1 PREVIOUS NEXT
- Innovative Digital Solutions for Psoriatic Arthritis: A Spotlight on the iPROLEPSIS Project by Prof. Leontios Hadjileontiadis | iPROLEPSIS
< BACK Innovative Digital Solutions for Psoriatic Arthritis: A Spotlight on the iPROLEPSIS Project by Prof. Leontios Hadjileontiadis Feb 14, 2024 Empowering Patients, Pioneering Solutions, and Bridging Gaps in Psoriatic Arthritis Knowledge Prof. Leontios Hadjileontiadis, the coordinator of the iPROLEPSIS project, shares how the iPROLEPSIS project addresses psoriatic arthritis research . iPROLEPSIS aims to identify triggers behind the transition from psoriasis to psoriatic arthritis, employing digital models and everyday devices like smartphones and smartwatches to understand disease dynamics. Beyond research, iPROLEPSIS introduces practical solutions such as biAURA for pain relief through sound and serious games targeting exercise, emotion, nutrition, and pain management. Collaborating with 15 partners, including patient advocates, iPROLEPSIS adopts a co-creation approach , bridging technological innovation with real-world healthcare practices. Focusing on predictive and preventive healthcare, iPROLEPSIS strives to fill the knowledge gap surrounding psoriatic arthritis, transforming the research landscape. Watch the full interview: https://www.youtube.com/watch?v=HpiUosn6ETQ leontios_edited.jpg leontios_edited.jpg 1/1 PREVIOUS NEXT
- iPROLEPSIS Showcased at MEDICA 2025 | iPROLEPSIS
< BACK iPROLEPSIS Showcased at MEDICA 2025 Nov 25, 2025 Project presented by PLUX at an international medical technology trade fair MEDICA 2025 was held in Düsseldorf, Germany, from 17–20 November 2025 and is one of the largest international trade fairs for medical technology and healthcare. iPROLEPSIS was showcased by project partner PLUX at MEDICA 2025, within a shared exhibition space alongside other Portuguese entities. The event offered an opportunity to present the project to industry and healthcare stakeholders and to engage with a broad international audience. MEDICA 2025 2.HEIC MEDICA 2025 1.HEIC MEDICA 2025 2.HEIC 1/2 PREVIOUS NEXT