AI-PROGNOSIS

?? ???????? ?????????????? ?????????????? – ?????????????????????? ???? ?????? ???????????? ????????????! We need your opinion on the use of an AI system for people at risk of developing Parkinson’s disease (PD), those already diagnosed with PD, and their healthcare professionals. ????’???? ?????????????? ???????? ?????????? ???? ?????? ??????: ?? Over 18 years old ?? Living in the UK, France, Germany, or Spain ?? A person living with Parkinson’s disease, a relative or caregiver, or a healthcare professional ?? ????? ?????????????????????????? ???? ?????? 15-20 ???????????? ????????????, ??????’???? ???????? ???? ???????????? ?? ???????? ????????: ? Monitors symptom changes ? Predicts disease progression ? Optimises treatment responses ?????? ???????????? ???? ?????????????????? ???? ??????????????, ????????????, ????????????, ?????? ??????????????. ?? Click here to share your opinion: https://lnkd.in/gj-Y68nY Together we can make a difference! #parkinsons #parkinsonsdisease #digitalhealth #survey #healthresearch AI-PROGNOSIS

?? Continuing our introduction of sister projects funded under the HORIZON-HLTH-2022-STAYHLTH-01-04 call, next is the "Artificial intelligence-based decision support system for risk stratification and early detection of heart failure in primary and secondary care (STARTIFYHF)"?project. ? STRATIFYHF EU Project aims to develop, validate and implement the first AI-based, decision support system (DSS) for risk stratification, early diagnosis, and disease progression assessment in heart gailure (HF) to accommodate both primary and secondary care clinical needs. The DSS will integrate patient-specific demographic and clinical data using existing and novel technologies and establish AI-based tools for risk stratification and HF prediction using machine learning. Learn more here: https://stratifyhf.eu/ Stay tuned for more updates on our sister projects! #HorizonEurope #ArtificialIntelligence #Healthtech #DigitalHealth

?? Beatriz Alves (Faculdade de Motricidade Humana) presented on behalf of AI-PROGNOSIS at the 11th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion (DSAI 2024). Her presentation covered the paper titled "???? ?????????? ????-???????????????? ???????????????? ?????? ?????????????????? ?? ?????????????????????????? ?????????????? ?????????? ???????????????????? ???????? ?????? ??????????????????’?? ?????????????? ????????????????.?" DSAI is a leading international forum focused on accessible and usable Information and Communication Technologies (ICT). #Parkinsonsdisease #DigitalHealth #DSAI2024 #ICT #HealthTech #CoCreation

?? Continuing our introduction of sister projects funded under the HORIZON-HLTH-2022-STAYHLTH-01-04 call, next is the "Trustworthy AI Tools for the Prediction of Obesity Related Vascular Diseases (AI-POD)"?project. The AI-POD Project is a transformative initiative set out to revolutionise obesity-related disease prediction for cardiovascular disease. By developing a novel, trustworthy AI-based risk score, and tools for clinical decision support, AI-POD Project aims to empower clinicians and patients alike, shaping treatment strategies, and driving the evidence-based healthcare innovation. Learn more here: https://ai-pod.eu/ Stay tuned for more updates on our sister projects! #HorizonEurope #ArtificialIntelligence #Healthtech #DigitalHealth

Insights from NeuroconexiON’s second edition: Thank you, Monica Kurtis, for presenting the AI-PROGNOSIS project and its digital health solutions aimed at early detection, progression monitoring, and treatment support for #Parkinson's disease. #parkinsons #artificialintelligence

?? Don’t miss out! Our sister project, SmartCHANGE, is hosting its next webinar: Co-Design Across Borders: Insights from Large-Scale Multi-Stakeholder Collaboration in Healthcare Tool Design. Join to learn about collaborative approaches in #eHealth tool design for non-communicable diseases. Register here: https://lnkd.in/djk_ueb8

?????? ?????????????? ???????????????????? ??????????????????????, ????????????????????, ?????? ???????????????????????? (??????-??????) ?????????? ???? ?????? ?????????? ????????????????! Patient recruitment has officially started at all study sites: CHU de Toulouse (France), King's College London (the UK), Fundación INCE (Iniciativa para las Neurociencias) (Spain), and Technische Universit?t Dresden (Germany). ???? As part of the AI-PROGNOSIS project, this study aims to develop digital biomarkers to track Parkinson’s disease (PD) symptoms, focusing on REM sleep behaviour disorder (RBD) and daytime sleepiness.?? Why is this important? RBD is a key early predictor of Parkinson’s disease. This study will track daily-life digital biomarkers from 90 participants across Germany, France, Spain and the UK, with the goal of improving PD detection and monitoring.???? This milestone brings us closer to better understanding and managing Parkinson’s disease. Read more: https://lnkd.in/dvzke54V #Parkinsons #DigitalBiomarkers #AI #Research #HealthTech #digitalhealthsolutions

?????? ??????-???????????? ?????? is now available on the ???????????? ???????? ??????????! The app is a research data collection tool used in the ?????????????? ???????????????????? ??????????????????????, ????????????????????, ?????? ???????????????????????? ???????????(??????-?????? ??????????)?(NCT06444789). Currently, the app can only be used by participants enrolled in the study across Germany, France, Spain, and the UK. The dBM-DEV study is part of the AI-PROGNOSIS project and focuses on developing digital biomarkers (dBMs) for #Parkinson’s disease symptoms, particularly REM sleep behaviour disorder (RBD) and daytime sleepiness. Link to the app on the Google Play Store ?? https://lnkd.in/gWQ2q9E2 #Parkinsonsdisease #Parkinsons #digitalhealthsolutions #healthtech #ResearchApp #HorizonEU

??How much do you know about #Parkinson’s disease? Test your knowledge and learn more on the AI-PROGNOSIS Learning Hub with our interactive quiz! ?? https://lnkd.in/gqZjapFW #ParkinsonsDisease #ParkinsonsAwareness #HealthEducation

On October 22 and 23, the AI-PROGNOSIS Patient Panel participated in two focused workshops?to help shape the mAI-Care app. Eight participants from France, Germany, Portugal, Spain, Sweden, and the UK – all living with Parkinson’s disease – reviewed possible data visualisations and shared insights on the app’s design and usability. The Patient Panel plays an essential role in our project as co-creators, providing insights to ensure our tools meet real needs. This group includes 13 members, averaging 52 years in age and 9 years since their Parkinson’s disease diagnosis. Their experience and understanding of AI and eHealth help guide our work, making our tools more accessible and effective. With their input, we are improving the app’s design and planning further workshops to refine how data is displayed and make it as user-friendly as possible. #Parkinsons #ParkinsonsDisease #CoCreation #eHealth #digitalhealth #healthtech #userexperience #PatientEngagement #HealthInnovation #ArtificialIntelligence