Manuilova I, Weise AB, Folwark J, Hiemer S, Schulze S, Benary M, Ustjanzew A, Strantz C, Unberath P, Werle SD, Brors B, Christoph J (2026)
Publication Type: Journal article
Publication year: 2026
Book Volume: 336
Pages Range: 2399-2403
DOI: 10.3233/SHTI260700
The PM4Onco project advances precision oncology by developing analytical and visual methods to support data-driven therapy decisions in Molecular Tumor Boards (MTBs). An interdisciplinary workshop at Martin Luther University Halle-Wittenberg in March 2025 explored strategies for defining and integrating patient similarity into MTB workflows. Using a synthetic oncology dataset, participants with clinical and data science backgrounds defined similarity criteria and structured search strategies for patient similarity. The workshop outcomes provide structured decision frameworks that operationalize patient similarity reasoning in a reproducible manner. Their implementation supports transparent and evidence-based analysis, fostering integration between algorithmic modeling and clinical expertise.
APA:
Manuilova, I., Weise, A.B., Folwark, J., Hiemer, S., Schulze, S., Benary, M.,... Christoph, J. (2026). Findings from the PM4Onco Workshop on Determining Patient Similarity Search Strategies for Personalized Therapy in Molecular Tumor Boards. Studies in Health Technology and Informatics, 336, 2399-2403. https://doi.org/10.3233/SHTI260700
MLA:
Manuilova, Iryna, et al. "Findings from the PM4Onco Workshop on Determining Patient Similarity Search Strategies for Personalized Therapy in Molecular Tumor Boards." Studies in Health Technology and Informatics 336 (2026): 2399-2403.
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