The Precision Oncology Cycle and Technology Updates - Molecular Tumor Board, Decision Support, Secondary Use of Data, Biomarker Development, Da Capo

Veranstaltungsdetails
Datum: 30.10.2025, 16:00 Uhr - 18:00 Uhr 
Ort: N 2045, Universitätsstraße 6a, 86159 Augsburg
Veranstalter: Institut für Informatik
Themenbereiche: Studium, Wissenschaftliche Weiterbildung, Informatik, Gesundheit und Medizin
Veranstaltungsreihe: Medical Information Sciences
Veranstaltungsart: Vortragsreihe
Vortragende: PD Dr. Daniel Hübschmann
BIOINF ASFDASDF DSFASF ASDF ASDF © Universität Augsburg

In diesem Semester wird die im WiSe 2022/23 erfolgreich gestartete Vortragsreihe Medical Information Sciences fortgesetzt. Renommierte Wissenschaftlerinnen und Wissenschaftler unterschiedlicher Fachdisziplinen und Forschungsstandorte geben jeden Donnerstag ab 16:00 Uhr Einblicke in aktuelle Fragestellungen und Anwendungsgebiete des breiten Forschungsfeldes Medical Information Sciences.


I will start by briefly introducing the concept of precision oncology as well as its mode of action, the modecular tumor board (MTBs), which interdisciplinarily issues individualized evidence-based treatment recommendations for cancer patients. These recommendations encompass patient-drug matches and patient-clinical trial matches. Precision oncology programs are registries, and secondary use of the data aggregated across patients enables cohort analyses via multi-omics characterization as well as the development of novel predictive and prognostic markers, which, in turn, can be used to enrich patients for clinical trials and/or provide the basis for future individualized treatment recommendations in MTBs. Traditionally this whole cycle often uses bulk technologies, but single cell technologies may be at reach for clinical translation soon. One such example is a modern application of flow cytometry, in particular spectral flow cytometry, which makes use of the full emission spectrum of fluorophores for enhanced deconvolution and consequently higher combinatorial complexity, for the analysis of single cell landscapes as well as cellular interactions. 

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