Logo ICCAS Logo ICCAS
ISO - Certivication

Research Area

Model-based medicine

Prof. Dr. Thomas Neumuth

Project Coordination

Alexander Oeser

Partners

    Janssen-Cilag GmbH
    University Hospital Leipzig, Clinic and Polyclinic for Hematology, Cell Therapy and Hemostaseology
    Universitätsklinikum Carl Gustav Carus, Abteilung für Hämatologie
    Universitätsklinikum Jena, Abteilung für Hämatologie und Internistische Onkologie
    Merantix Labs GmbH

Funder

Förderlogo

headline-markerKAIT

KAIT - Knowledge-driven and Artificial Intelligence-based Platform for Therapy Decision Support in Hematology

The medical field of hematology is characterized by highly heterogeneous diseases and disease courses. Nevertheless, clinical trial design, drug development and subsequent therapy are mostly based on the administration of identical therapeutic regimens. As treatment strategies become more precisely tailored to patients, this process becomes more effective, but at the same time causes an enormous amount of complexity in the information that must be considered.  Thus, clinical decision-making also depends on whether the treating physician has the appropriate therapeutic experience and access to novel therapies. The goal of KAIT, an artificial intelligence-based platform for therapeutic decision support for patients with myelodysplastic syndrome, acute myeloid leukemia and multiple myeloma, is to support the clinical decision-making process by providing and evaluating relevant information to enable patient-specific and personalized treatment for all patients.

Link to project website (German)