Guest Lecture Series Medical Information Sciences

We are glad to announce that our guest lecture series Medical Information Sciences will continue next week. The winter semester is about to start – and so is the guest lecture series Medical Information Sciences that will be taking place at the same time as during the last semester: the lectures start on Thursday afternoons at 4 pm in N2045.

For the first lecture of this winter semester on Thursday, October 30^th 2025, we cordially welcome

PD Dr. Daniel Hübschmann

Postdoctoral Researcher and HI-STEM Junior Group Leader of the Research Group Pattern Recognition and Digital Medicine at the Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM), German Cancer Research Center (DKFZ), Heidelberg

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

Abstract of the Lecture:

I will start by briefly introducing the concept of precision oncology as well as its mode of action, the molecular 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.

Bio Sketch of the Lecturer:

PD Dr. Daniel Hübschmann is a physicist, mathematician, and physician with clinical experience in pediatric oncology. He heads the Innovation and Service Unit at the German Cancer Research Center (DKFZ) as well as the research group Computational Oncology in the Molecular Precision Oncology Program (MPOP) at the National Center for Tumor Diseases (NCT) Heidelberg and the group Pattern Recognition and Digital Medicine at the Heidelberg Institute for Stem cell Technology and Experimental Medicine (HI-STEM). His research focuses on bioinformatics, clinic-multi-omics integration, pattern recognition, machine learning, cancer genomics, DNA repair and cellular interactions and precision medicine. One of his core translational activities, together with his team, is the responsibility for the fast-track bioinformatics workup for molecular tumor boards of patients in several precision oncology programs at NCT Heidelberg.

Date: October 30^th 2025 (starting at 4 pm)

Place: Lecture Hall N2045 (Faculty of Applied Informatics)

The lecture will last 45 to 60 minutes and it will be followed by an open discussion. Each session is rounded off with an informal get-together, where snacks and beverages are served. Please feel free to join!

We once again offer the chance to arrange informal individual meetings with the speaker to discuss related scientific questions. Please send an e-mail to office.bioinf@informatik.uni-augsburg.de to make an individual appointment in advance.

Further information will be forwarded with our next circular email and can already be found on our guest lecture series’ official home page.

If you have any questions or notes, please feel free to contact us: office.bioinf@informatik.uni-augsburg.de