PREDICTOM - IHI project

Day 2 of the PREDICTOM Annual Consortium Meeting brought valuable exchange and alignment across partners. Key discussions focused on: -      Streamlining processes along the patient journey -      Building consensus on the analytics database -      Presenting our approach to identify high-risk and low-risk dementia populations -      Exploring our publication strategy, with ambitious plans to report and disseminate project outputs effectively and on time A highlight was the input from our Scientific Advisory Board, guiding discussions on sustainability and strategies for the wide adoption of the results. A hands-on workshop took place, where clinical partners received training on the Hearing test, the Eye Tracking, and the EEG test - which promise to yield important dementia-related markers. We at Centre for Research & Technology Hellas (CERTH), Multimedia Knowledge and Social Media Analytics Laboratory - MKLab, Brain, Health & Virtual Reality Group were excited to host this year’s meeting and look forward to continuing with the next steps in PREDICTOM. PREDICTOM - IHI project

Day 1 of the PREDICTOM Consortium Annual Meeting set the stage for exciting collaboration and progress! We kicked off with engaging discussions through the triple+ IHI initiative, with participation from PROMINENT and AD-RIDDLE projects. Together, we explored ways to leverage common ground, join forces, and save cost, energy, and time. In interactive breakout sessions, partners responsible for biomarkers, algorithms and models, the platform, the ongoing study, public involvement, guidelines and dissemination worked in smaller groups to: ●     Present overall progress ●     Highlight challenges around data collection and analysis ●     Define next-step priorities From these discussions, we identified key topics for our in depth discussions on Day 2: Mapping the participant journey Deriving and presenting multimodal results Data sharing Looking beyond PREDICTOM As recruitment in the context of the PREDICTOM study progresses and data collection advances, we are excited to move towards analysis and sharing results, with the ambition to shape and contribute meaningfully to the discussion on early dementia detection. PREDICTOM - IHI project

In celebration for World #Alzheimer's Day (21st Sep), PREDICTOM - IHI project is presenting you a novel blood-based biomarker - Syndecan-3 (SDC3). 📒 The diagnostic approach based on SDC3 expression is already patented (European patent EP4185874) 🧠 Our findings suggest that SDC3 could serve as a valuable addition to the Alzheimer’s biomarker toolkit. It reflects a distinct immune remodeling process that may be central to the disease. Anett Hudák says. https://lnkd.in/dQUMTt5R

🧠✨ Europa da un paso clave contra el #alzhéimer El proyecto PREDICTOM - IHI project, financiado por la UE, ha iniciado el reclutamiento de 4.000 participantes para un innovador ensayo que busca detectar el alzhéimer en fases muy tempranas. 📊 La plataforma, desarrollada por GE HealthCare, combina biomarcadores (imagen médica, análisis de biofluidos, EEG, seguimiento ocular y datos digitales) con #IA para predecir el riesgo antes de que aparezcan los síntomas. 🎯 Objetivo: que pruebas sencillas puedan realizarse en casa y que los médicos de atención primaria puedan intervenir mucho antes. 🔬 “Unimos ciencia de vanguardia e inteligencia artificial para cambiar el futuro del diagnóstico del alzhéimer”, afirma Suchandrima Banerjee (Sr. Global Director de Neuro RM en GE HealthCare). #Alzhéimer #Neurociencia #InnovaciónEnSalud #InteligenciaArtificial #InvestigaciónMédica #PREDICTOM #GEHealthCare #HorizonteEuropa

🧠 The earliest signs of #Alzheimer's disease are so subtle that even though a person might sense that their cognitive abilities are declining, standard tests will tell them that everything is fine. 🏥 Now PREDICTOM - IHI project has demonstrated that a type of brain scan called an EEG (electroencephalogram) can distinguish between healthy people and people with very subtle symptoms of the disease.  👵 The discovery suggests that EEGs could help doctors spot signs of Alzheimer’s earlier than traditional tests and examinations; this is important because EEGs are low-cost and widely accessible, and could even be used in the home. ✅ The results advance PREDICTOM's efforts to identify non-invasive ways of detecting Alzheimer's disease early on. Find out more 👉 https://lnkd.in/e37arNq9 #IHITransformingHealth #HorizonEU #WAM2025 #WorldAlzMonth