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About Nightingale
A data-mining group from Johannes Gutenberg University advancing cardiovascular health through AI
Nightingale is a data-mining group from Johannes Gutenberg University in Mainz, Germany. We are dedicated to advancing cardiovascular health through cutting-edge AI predictive models.
Our mission is to leverage sophisticated data mining techniques to analyze complex health datasets and provide precise risk assessments for cardiovascular diseases.
Our group consists of students from diverse backgrounds and fields of study, allowing us to explore heart disease from multiple perspectives. We have also developed demos to demonstrate how AI and explainable AI can be applied to cardiovascular research.
You are welcome to explore our site and try out the demos yourself.
Diverse Team
Students from diverse backgrounds and fields of study
Multiple Perspectives
Exploring heart disease from various viewpoints
Precise Assessment
Accurate cardiovascular risk predictions
AI Demos
Demonstrating explainable AI applications
Our AI Demos
Explore our three main demo branches showcasing different aspects of cardiovascular health AI
HealthLife
AI-powered lifestyle recommendations and health risk assessment tools to help you make informed decisions about your daily habits and long-term wellness.
HealthView
Advanced medical imaging analysis and early detection systems using cutting-edge AI to identify cardiovascular conditions from various imaging modalities.
HealthMap
Global cardiovascular health data visualization and population health analytics for understanding regional health patterns and predicting disease outbreaks.
Available Demos:
Our Partners & Supporters
Nightingale is supported by leading institutions and organizations in research and technology
Run by
Johannes Gutenberg University
Data Mining Group at the Johannes Gutenberg University in Mainz, Germany
Funding
German Ministry of Research
German Ministry of Research via CurAIHeart Project 12 within the Curatime cluster for future
IT-Support
Zentrum für DatenVerarbeitung
Technical infrastructure and data processing support for our research initiatives
Host for AI Computations
Digital Ocean Cloud Service
Cloud computing infrastructure powering our AI models and data analysis
Through these partnerships, we ensure our research maintains the highest standards of academic rigor while leveraging cutting-edge technology infrastructure.
Meet the Team
Our diverse team of researchers and students from Johannes Gutenberg University
Multidisciplinary
Our team brings together expertise from computer science, medicine, statistics, and data science
AI Focused
Specialized in machine learning, deep learning, and explainable AI for healthcare applications
Health Driven
Passionate about improving cardiovascular health outcomes through innovative technology
Team Statistics
Our global and diverse research collective
Research Team
Our team is composed of dedicated researchers, PhD candidates, and master's students working together to advance the field of cardiovascular health through AI and data mining.
Interested in joining our research? We welcome collaborations and new team members.