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- iPROLEPSIS Project Presented to Sonova International | iPROLEPSIS
< BACK iPROLEPSIS Project Presented to Sonova International Sep 10, 2024 Innovative Approaches in Digital Biomarkers In September 2024, the iPROLEPSIS project was presented at a meeting with Sonova International. This event included a series of insightful presentations, highlighting the project's focus on developing digital biomarkers. The iPROLEPSIS concept and vision were shared, showcasing the innovative approaches the project is undertaking. We extend our gratitude for the engaging discussions during the “Sonova-AUTH Day,” hosted by the Signal Processing & Biomedical Technology Unit at Aristotle University of Thessaloniki. The event featured a range of topics, including advancements in digital biomarkers, innovations in hearing instruments by Sonova Group, ear-EEG technology, auditory processing disorders, and insights into the hearing aid market in Greece. 1/2 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
- The protocol for iPROLEPSIS-PDPID study approved in the Netherlands | iPROLEPSIS
< BACK The protocol for iPROLEPSIS-PDPID study approved in the Netherlands Nov 12, 2023 Ongoing preparation for iPROLEPSIS-PDPID study initiation In November 2023, the protocol for the PsA Digital Phenotyping and Inflammation Drivers Study (iPROLEPSIS-PDPID) received ethical approval In the Netherlands. Approvals in the UK, PT and GR are in progress. The research will be conducted in the Netherlands, the UK, Portugal and Greece. The primary objective of the iPROLEPSIS-PDPID is to establish a development cohort to create smartphone and smartwatch-based, AI-driven digital biomarkers for the remote assessment and monitoring of individuals with psoriatic arthritis. Two action types will occur in the development cohort: measure and predict. Measure: To develop novel smartphone and smart device digital biomarkers for the assessment of inflammatory symptoms with a particular focus on the recognition of changes in movement patterns, pain, fatigue, and morning stiffness in comparison to the gold standard – medical evaluation by clinical evaluation of the joints, tendons and skin. Predict: To predict the change from uninflamed to inflamed using three triggers that may cause longstanding inflammation in psoriatic arthritis patients at risk for flare. Those three triggers are stress, mechanical stress and changes in the gut microbiome. To achieve these objectives, iPROLEPSIS-PDPID will leverage cutting-edge technology and a comprehensive set of products, such as a mobile phone app and a smartwatch. The miPROLEPSIS phone app, which will be used in this study, is currently under development. The app will be installed on the patients’ smartphones and utilised as a data collector before being used to develop and train algorithms. mIPROLEPSIS app.png mIPROLEPSIS app.png 1/1 PREVIOUS NEXT
- Khalifa University Features iPROLEPSIS in Research News | iPROLEPSIS
< BACK Khalifa University Features iPROLEPSIS in Research News Jun 2, 2025 AI, Apps and Arthritis: A Digital Leap in Psoriatic Care Khalifa University Research News has featured iPROLEPSIS in a new article showcasing our mission to transform psoriatic arthritis care through digital innovation. Led by Prof. Leontios Hadjileontiadis, iPROLEPSIS is a Horizon Europe-funded initiative using artificial intelligence, wearable technology, and mobile health apps to shift care from reactive treatment to proactive prevention . By combining explainable AI with real-world patient data, we aim to support earlier diagnosis , personalized treatment , and patient-centered digital tools that empower both clinicians and individuals living with psoriatic arthritis. Read the full article on Khalifa University website: https://www.ku.ac.ae/ai-apps-and-arthritis-a-digital-leap-in-psoriatic-care Hero section.png Hero section.png 1/1 PREVIOUS NEXT
- What are the symptoms of psoriatic arthritis? | iPROLEPSIS
Learning Hub Explore resources to help you understand and manage psoriatic arthritis. Learning hub Key Facts Handbook News Feed Quizzes Search What are the symptoms of psoriatic arthritis? See related Handbook section PREVIOUS NEXT
- Psoriasis Awareness Month - August 2024 | iPROLEPSIS
< BACK Psoriasis Awareness Month - August 2024 Aug 20, 2024 From Psoriasis to Psoriatic Arthritis: The Importance of Awareness In August, we marked Psoriasis Awareness Month, raising awareness for the millions living with psoriasis, a chronic autoimmune disease that affects the skin and causes painful and itchy flare-ups. Beyond the visible symptoms, psoriasis can significantly impact mental health and overall quality of life. An important aspect of awareness is the link between psoriasis and psoriatic arthritis, a condition that develops in 20-40% of individuals with psoriasis. Psoriatic arthritis can lead to joint pain, stiffness, and swelling, potentially causing long-term disability if left untreated. This makes early detection and comprehensive management essential for improving patient outcomes. Through continued advocacy and education, we can help those affected by psoriasis seek timely support and prevent the progression to psoriatic arthritis. 1/4 PREVIOUS NEXT
- iPROLEPSIS presented at MEDICA 2023 | iPROLEPSIS
< BACK iPROLEPSIS presented at MEDICA 2023 Nov 14, 2023 iPROLEPSIS project presented at the world’s largest event for the medical sector Project partners Amalia Ntemou ( Netcompany-Intrasoft ) and Georgios Apostolidis ( Aristotle University of Thessaloniki (AUTH) ) presented the iPROLEPSIS project at the MEDICA - Leading International Trade Fair in Germany. MEDICA is the world’s largest event for the medical sector. It attracts several thousand exhibitors from more than 50 countries in the halls. Furthermore, each year, leading individuals from business, research, and politics grace this top-class event with their presence. MEDICA 2023 took place on 13-16 November in Düsseldorf, Germany. IMG_20231115_135346.jpg IMG_20231115_135346.jpg 1/1 PREVIOUS NEXT
- 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
- ChatGPT in Nutrition: Trends, Challenges and Future Directions | iPROLEPSIS
< BACK ChatGPT in Nutrition: Trends, Challenges and Future Directions Jun 27, 2024 Exploring the Role of AI in Shaping the Future of Personalised Nutrition Introducing our latest iPROLEPSIS publication, "ChatGPT in Nutrition: Trends, Challenges, and Future Directions" , presented at PETRA 2024. This study explores the evolving role of AI in personalized nutrition. Abstract: A healthy and balanced diet is of paramount importance to the physical and psychological well-being of an individual, since unhealthy dietary choices have been linked with the occurrence of non-communicable diseases. Recent technological advances has led to the development of large language models, such as ChatGPT that has been widely adopted as a convenient tool for creating meal plans and obtaining nutritional information. This work aims to provide a thorough review of the scientific work performed so far regarding the use of ChatGPT in the field of nutrition. In this survey, the advantages and limitations of ChatGPT in different aspects of nutrition are pinpointed, while the challenges from the use of ChatGPT in nutrition are identified and discussed. Future research directions are also proposed to assist researchers towards the development of more effective nutrition recommendation systems. Read the full publication: https://zenodo.org/records/13142880 ChatGPT in Nutrition .pdf Download PDF • 620KB 1/1 PREVIOUS NEXT
- AI-Driven Nutrition: Advanced Personal Dietary Recommendations through Deep Generative Models and ChatGPT | iPROLEPSIS
< 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
- iPROLEPSIS Presented at EIT Health Morning Health Talk in Athens | iPROLEPSIS
< BACK iPROLEPSIS Presented at EIT Health Morning Health Talk in Athens Jun 5, 2025 Co-Creating Health Innovation Ecosystems: Empowering Providers and Citizens Beyond Financial Incentives On June 2, 2025, the iPROLEPSIS project was presented at the 1st Morning Health Talk – Greece , part of the EIT Health Morning Health Talks series. The event, titled “Co-Creating Health Innovation Ecosystems: Empowering Providers and Citizens Beyond Financial Incentives” , was organised by EIT Health Greece and hosted at the National Documentation Centre in Athens. Vasileios Charisis from Aristotle University of Thessaloniki (AUTH) presented an overview of iPROLEPSIS, developing a novel personalised digital care ecosystem for people with Psoriatic arthritis (PsA). The session brought together a diverse group of participants from across the health innovation landscape, including: EIT and EIT Health Greece representatives European Digital Innovation Hubs – Health Hub European Network of Living Labs Digital health consultants from the Greek Ministry of Digital Governance Public and private hospitals Private health insurance companies, homecare providers, and telemedicine companies The event offered valuable opportunities for sharing perspectives, building connections, and exploring collaborative strategies for the future of healthcare innovation. IMG_4494_edited.jpg 20250602_111815.jpg IMG_4499.jpg IMG_4494_edited.jpg 1/4 PREVIOUS NEXT
- Initiation of the iPROLEPSIS-PDPID Study | iPROLEPSIS
< BACK Initiation of the iPROLEPSIS-PDPID Study Oct 22, 2024 Initiating Patient Enrollment for Psoriatic Arthritis Research The PsA digital phenotyping and inflammation drivers study (iPROLEPSIS-PDPID) has officially been initiated. The first patient was enrolled in the Netherlands in early September. The iPROLEPSIS-PDPID study focuses on using smart devices and clinical data to develop AI-driven models for personalised monitoring and flare prediction. This approach aims to empower patients by providing tools to better understand their condition. The study seeks to develop unobtrusive and affordable digital biomarkers capable of detecting changes in disease activity, including flares, and identifying their triggers in patients with psoriatic arthritis (PsA). The study is being conducted in four countries: the Netherlands, the UK, Portugal, and Greece. Patient recruitment is planned to start in the UK by the end of October, with recruitment in Greece and Portugal expected later this year. The miPROLEPSIS phone app is used in this study. The app is installed on patients' smartphones and acts as a data collection tool, which will be used to develop and train algorithms. The app measures physical activity, sleep duration, self-registered flares, and daily records of pain, fatigue, sleep quality, and morning stiffness. Additionally, the Garmin Vivoactive 5 smartwatch is used to collect data on physical activity, heart rate, heart rate variability, and sleep quality. 1/1 PREVIOUS NEXT