Smart Clinical Assistance: Decision Support
GenoMed4All
EU-wide network for exchanging clinical and multi-omics data via federated learning for hematological diseases; ICCAS contributes data integration and standardization based on HL7 FHIR.
The GenoMed4All project is an EU-wide initiative aimed at establishing a network infrastructure designed to facilitate the exchange of clinical data within a “Federated Learning Framework”, extending even to multi-omics levels. The project aims to enhance quantitative analysis through the application of machine learning (ML) and artificial intelligence (AI) methods.
GenoMed4All focuses on a range of hematological diseases, which are becoming increasingly complex due to the advanced application of precision diagnostics and personalized therapies. In partnership with the Department of Hematology, Cell Therapy, and Hemostaseology at Leipzig University Hospital, ICCAS contributes to the implementation of data integration mechanisms as well as advanced data standardization based on HL7 FHIR.
More projects of the team
-
VOLTA Validation Of Model-Based Therapy Decision Support in Hematology
Validation of model-based therapy decision support in hematology: KAIT, the platform for multiple myeloma developed with the hematology department at Leipzig University Hospital since 2020, is being expanded, tested and optimized for routine practice.
-
LENS (ScaDS.AI-Seedfunding) Learning Engine for Novel Survival-clustering (ScaDS.AI seed funding)Learning Engine for Novel Survival-clustering: a model-agnostic method that finds prognostically distinct patient groups – pioneered on multiple myeloma data and CT images of non-small cell lung cancer.
Back to the team Smart Clinical Assistance: Decision Support