Advancing Medical Science Through AI Research
Our research team combines cutting-edge AI technology with clinical expertise to develop breakthrough diagnostic tools and predictive models.
Research Focus Areas
Our multidisciplinary research spans across multiple domains of medical AI and neuroscience.
Neural Biomarkers
Developing AI algorithms to identify early neural biomarkers for neurodegenerative diseases through advanced imaging and cognitive assessment.
Predictive Analytics
Creating predictive models that combine genetic, lifestyle, and clinical data to forecast health outcomes with unprecedented accuracy.
Real-time Monitoring
Developing continuous monitoring systems that track vital signs and cognitive function in real-time for early intervention.
Latest Publications
Explore our groundbreaking research findings and contributions that are shaping the future of medical AI technology.
AI-Driven Early Detection of Alzheimer's Disease
Combining MRI, cognitive assessments, and blood biomarkers with AI to detect Alzheimer's up to 5 years before symptoms.
AI-Powered Risk Stratification for Stroke
New AI models for stratifying stroke risk using multi-modal patient data, improving early intervention outcomes.
Machine Learning in Cardiovascular Risk Prediction
Revolutionary algorithms for predicting cardiovascular events using electronic health records and wearable data with 94.2% accuracy and 96.8% specificity.
Neural Network Analysis of Cognitive Decline Patterns
Advanced deep learning approaches to identify subtle cognitive changes in aging populations with 89.7% sensitivity and 92.3% specificity.
Real-time Health Monitoring with Edge AI
Breakthrough edge computing solutions for continuous health monitoring in clinical settings with 99.2% uptime and sub-second latency.
Join Our Research
Collaborate with our team of researchers and contribute to the future of medical AI technology.