Project cooperationUpdated on 31 March 2025
AI-Powered Multimodal Health Intelligence for Neurological Disease Prevention
About
This project leverages AI-driven multimodal data integration to enhance neurological disease detection and public health decision-making. By analyzing environmental, genomic, neuroimaging, and epidemiological data with deep learning, it identifies biomarkers and patterns of disease progression. A real-time AI-based risk monitoring system integrates wearable sensor data, environmental factors, and clinical records to provide early health alerts. Additionally, AI-driven causal inference models explore the links between pollutant exposure and brain diseases, while a big data simulation platform predicts intervention outcomes to inform evidence-based public health policies.
Stage
- Early (Idea)
- Planning (Concept)
Call
- Innovative, Sustainable, and High-Quality Healthcare
- Artificial Intelligence (AI) based Tools and Technologies
- Digital Solutions and Digitalization
- Digital Health Data
Type
- R&D Partner
- Technical Partner
- Coordinator
- Dissemination & Exploitation Partner
Attached files
Organisation
Similar opportunities
Partnership
Collaboration in services and research AnkaTheraHub
Aşan Bacak
associate professor at Ankara University
Ankara, Türkiye
Project cooperation
- R&D Partner
- Early (Idea)
- Technical Partner
- Digital Health Data
- Digital Solutions and Digitalization
- Dissemination & Exploitation Partner
- Innovative, Sustainable, and High-Quality Healthcare
- Artificial Intelligence (AI) based Tools and Technologies
SAIME NILAY ARMAN
Physiotherapist and founder at Istanbul University-Cerrahpaşa
İstanbul, Türkiye
Expertise
Physiotherapy and Rehabilitation
- Virtual Worlds
- Digital Health Data
- Digital Solutions and Digitalization
- Innovative, Sustainable, and High-Quality Healthcare
- Artificial Intelligence (AI)-based Tools and Technologies
SAIME NILAY ARMAN
Physiotherapist and founder at Istanbul University-Cerrahpaşa
İstanbul, Türkiye