AUTHOR=Grieb Nora , Schmierer Lukas , Kim Hyeon Ung , Strobel Sarah , Schulz Christian , Meschke Tim , Kubasch Anne Sophie , Brioli Annamaria , Platzbecker Uwe , Neumuth Thomas , Merz Maximilian , Oeser Alexander 

TITLE=A digital twin model for evidence-based clinical decision support in multiple myeloma treatment

JOURNAL=Frontiers in Digital Health

VOLUME=Volume 5 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2023.1324453

DOI=10.3389/fdgth.2023.1324453

ISSN=2673-253X

ABSTRACT=Our derived MMDT instance is defined by 475 unique entities connected through 438 edges to form a MM knowledge graph. Using the MMRF CoMMpass real-world evidence database and a sample MM case, we processed a complete outcome assessment. The output shows a valid selection of potential treatment strategies for the integrated medical case and highlights the potential of the MMDT to be used for such applications. DT models face significant challenges in development, including availability of clinical data to algorithmically derive clinical decision support, as well as trustworthiness of the evaluated treatment options. We propose a collaborative approach that mitigates the regulatory and ethical concerns that are broadly discussed when automated decisionmaking tools are to be included into clinical routine.