Project description
AI-powered metagenomic potential use for advanced diagnostics
Artificial Intelligence (AI) is revolutionising diagnostic processes, leading to the advancement of personalised medicine. With the support of the Marie Skłodowska-Curie Actions programme, the GenDAI project will leverage metagenomic potential for advanced diagnostics, contributing to the development of personalised treatments. It aims to create an AI-supported medical diagnostics platform for microbiome profiling, generate new metagenomic datasets for patients with inflammatory bowel disease, and develop the GenDAI Diagnostics Workflow, focusing on implementing a fully automated data processing pipeline. Additionally, the project will establish a robust, cloud-based foundation for platform development, incorporating advanced data management and security infrastructure for long-term archiving (GenDAI Safe). It will also identify biomarkers, characterising microbiome profiles, and delivering user-friendly clinical reporting.
Objective
GenDAI will leverage metagenomic potential to deliver powerful diagnostic results facilitating the development of Personalized Medicine, addressing assay research and development as well as productive clinical diagnostics in a comprehensive way by creating a highly innovative medical diagnostics platform that supports microbiome profiling with novel biomarkers using Artificial Intelligence (AI). This innovative platform will allow clinicians to assess and monitor patients while complying with strict regulatory requirements of laboratory diagnostics. Ultimately, GenDAI will contribute to accelerate conversion of innovative ideas and technology solutions into breakthroughs in medical analyses services.
Delivery of GenDAI tangible outputs will be driven by the following Research and Innovation Objectives: a) Create new metagenomic datasets containing microbiome samples from stool of patients under informed consent suffering from inflammatory bowel disease (IBD); b) Develop and integrate the GenDAI Diagnostics Workflow, focusing on implementing a fully automated data processing pipeline; c);Provide a robust, cloud-based foundation for the development of the platform that integrates advanced data management and knowledge infrastructure focusing on security, reproducibility and long-term archiving (GenDAI Safe); d) Develop and improve AI methods to identify relevant biomarkers and classify corresponding metagenomic sequences in order to characterise microbiome profiles to provide a personalised diagnostic result of patients state of health (GenDAI Discovery); e) Deliver innovative visual user interfaces and interactive clinical reporting (GenDAI Interactive Reporting) and f) Deliver the marketable, regulatory compliant GenDAI technology and tool suite.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-SE - HORIZON TMA MSCA Staff ExchangesCoordinator
44149 Dortmund
Germany