Quantum dynamics of atomic and molecular systems

Category: digitaltwin

All the posts, media, and publications associated with the digital twin experiment

  • Cedric Becker – Master Thesis on brain tumors

    How can AI and machine learning improve the treatment and prognosis of brain tumors?
    My Master’s thesis addresses this question by focusing on the data-driven analysis of meningiomas (brain tumors) using modern machine learning techniques. In cooperation with the University Medical Center Mannheim, clinical patient data are evaluated computationally to identify patterns in the course of the disease and its treatment. The primary focus is on developing predictive models that provide forecasts regarding surgical outcomes, postoperative consequences, and tumor dynamics. Ultimately, this work aims to demonstrate how machine learning and data-driven methods can support translational medicine and personalized patient care

  • Lukas Storz – Master Thesis

    How can we identify meaningful structure in complex global health data?

    My Master’s thesis focuses on developing and evaluating machine learning approaches to detect, quantify, and validate structure in often sparse and highly biased global health datasets. A central challenge is distinguishing meaningful patterns from random variation and determining whether a dataset contains sufficiently robust structure to support methods such as clustering. Using a novel HIV dataset from Zimbabwe as a real-world application, the thesis investigates how different data representations, clustering techniques, and statistical validation methods can be used to characterize latent structure and assess its relevance for answering global health research questions.

  • Anna-Katharina Nitschke starts her PhD in the Digital Twins team

    Anna-Katharina Nitschke starts her PhD in the Digital Twins team

    Anna stays with the Digital Twin group after successfully finishing her Master Thesis about an Architecture of Digital Twins of Patients in Urology and will continue her research on Digital Twins in Medicine for applications in Global Health together with partners from the Heidelberg Institute of Global Health and STRUCTURES. We wish good luck!

  • Digital Twin project starts

    Digital Twin project starts

    A new project starts in the group. The Digital Twin group consists of two members, Anna Nitscke, who wants to start her master thesis in this project. And Carlos Brandl, who starts his PhD after being a Master student at the Rydberg team. Together with Prof. Ommer from the IWR the team tries to find new ways of creating digital twins for medicine. The project is part of the collaborative CLINIC5.1 project, lead by the University Hospital and funded by the BMWK.