Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards

Our study contributes to the field by highlighting the importance of developing user-centric, customizable software solutions that can adapt to the fast-paced environment of MTBs to advance personalized oncology. In doing so, it lays the foundation for further advances in personalized medicine in oncology and points to a shift towards more efficient, technology-driven clinical decision-making processes. This research not only enriches our understanding of the integration of digital tools into MTBs, but also signals a broader shift towards technological innovation in healthcare.

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Publication Details

Journal
BMC Medical Informatics and Decision Making
Published
2025-01-16
DOI
https://doi.org/10.1186/s12911-024-02821-8
Citations
5
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
4.03

Funders

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article

Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards

Philipp Unberath, Konstantin Strauch, Alexander Scheiter, Arsenij Ustjanzew et al.
5 citations
BMC Medical Informatics and Decision Making
Bioinformatics and Genomic Networks
4.03
article

Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards

Philipp Unberath, Konstantin Strauch, Alexander Scheiter, Arsenij Ustjanzew, Dieter Böhm, Andreas Blaumeiser, Thomas Pauli, Cosima Strantz, Thomas Ganslandt, Iryna Manuilova, Niklas Reimer, Jan Christoph, Patrick Metzger, Hauke Busch, Il Nam Jung, Melanie Börries
article en
5 citations

Abstract

Our study contributes to the field by highlighting the importance of developing user-centric, customizable software solutions that can adapt to the fast-paced environment of MTBs to advance personalized oncology. In doing so, it lays the foundation for further advances in personalized medicine in oncology and points to a shift towards more efficient, technology-driven clinical decision-making processes. This research not only enriches our understanding of the integration of digital tools into MTBs, but also signals a broader shift towards technological innovation in healthcare.

BMC Medical Informatics and Decision MakingVol. 25(1)
University of Freiburg (DE), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Johannes Gutenberg University Mainz (DE), Universitätsklinikum Erlangen (DE), University Medical Center of the Johannes Gutenberg University Mainz (DE), University Hospital Schleswig-Holstein (DE), University Hospital Carl Gustav Carus (DE), University of Regensburg (DE), Martin Luther University Halle-Wittenberg (DE), University of Lübeck (DE)
Friedrich-Alexander-Universität Erlangen-Nürnberg
Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Bioinformatics and Genomic Networks
4.03
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