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Advancing
Medical Technology

MOPRED aims to bring multimodal predictive modeling to the field of medicine. It aims to revolutionize the medical sciences by applying AI and machine learning to multimodal data processing.

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MOPRED Symposium - Algorithms and Applications for Multi-Modal Data Integration

SymposiumMultimodalAIML
16.10.2024 @ 10:00 - 18:00
Frankfurt University Hospital - Building 22

The symposium will gather scientists from various disciplines to present cutting edge research on algorithms and advanced methods for integrating multi-modal data in predictive medicine, featuring lectures, a poster session, and a keynote by Prof. Dr. Ivan Costa from the RWTH Aachen University.

MOPRED Hackathon - Multimodal Data Analysis in Medicine

HackathonMultimodalMedicine
14.12.2023 @ 9:00 - 16:00
Campus Bockenheim

Welcome to the MOPRED Hackathon, a hackathon dedicated to exploring practical applications of multimodal data analysis in medicine. In this event, participants will explore the integration and analysis of different types of mutimodal data using different approaches. Join us for a day of collaborative problem solving!

MOPRED Symposium - Multimodal Data Analysis

SymposiumMultimodalAIML
10.10.2023 @ 10:00 - 18:00
Frankfurt University Hospital - Building 22

The symposium will gather scientists from various disciplines in the Rhein-Main area to explore advanced methods for integrating multi-modal data in predictive medicine, featuring lectures, a poster session, and a keynote by Prof. Dr. Nico Pfeifer from the University of Tübingen.

Discover the Future of

Medical AI

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Empowering Medical Innovations

We organize symposia and hackathons to foster collaboration and knowledge sharing in the field of multimodal data processing and analysis. Our events bring together students, experts, researchers, and industry professionals to explore the latest advancements in AI and machine learning applied to healthcare.

 

Driving Medical Innovation

Through our symposia and hackathons we create a platform for collaborative learning. Participants have the opportunity to engage with leading experts, gain insights into cutting-edge research, and network with like-minded professionals.

 

Collaborative Learning Opportunities

Our symposia and hackathons are designed to drive medical innovation. By bringing together diverse perspectives and expertise, we aim to inspire breakthroughs in AI and machine learning that can revolutionize healthcare.