Smart Clinical Assistance: Decision Support

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.

Illustration: experts at screens and patient beds discussing treatment data
Team
Smart Clinical Assistance: Decision Support

Thanks to advances in medical research, physicians now have more effective cancer treatments, but increasingly personalized drugs create challenges in integrating complex diagnostic and therapeutic data. Since 2020, ICCAS at University Medicine Leipzig, together with the Department of Hematology, Cell Therapy, and Hemostaseology at University Hospital Leipzig, has developed “KAIT”, an IT platform to analyze medical information and support therapeutic decisions for multiple myeloma.

KAIT aims to give physicians up-to-date treatment insights so decisions are based on current knowledge, improving care for myeloma patients across Germany. Under the VOLTA project, KAIT is being expanded, tested, and optimized with clinical experts to become a reliable, secure tool in routine practice.

More projects of the team

  • 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.

  • 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.

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