Projekte
Themenbereiche
Die Inhalte der angebotenen DigiStrucMed-Projekte lassen sich in vier Themenkomplexe hinsichtlich ihrer Anwendungsgebiete/Zielsetzungen einteilen:
- Werkzeuge und Technologien für Ärzte. Digitalisierungsprozesse in der Medizin, wie z.B. elektronische Anamnesetools, die Einführung der strukturierten Datenerfassung oder die digitale Kommunikation in Studien mit den analogen Prozessen sollen verglichen oder neuartige Methoden entwickelt werden zur Auswertung gesundheitsrelevanter Daten. Außerdem sollen durch die Vernetzung bereits digitalisierter Daten und auf Basis geeigneter Algorithmen Entscheidungsunterstützungssysteme entwickelt bzw. evaluiert werden.
- Werkzeuge und Technologien für Patienten: Projekte des zweiten Themenkomplexes beschäftigen sich mit der Entwicklung von Technologien, die die Patienten dabei fördern sollen, informierte Entscheidungen treffen zu können (informierter Patient) sowie in einem zweiten Schwerpunkt Technologien, die die Nachbeobachtung der Patienten vereinfachen und z. B. Heim-Monitoring ermöglichen sollen.
- Analysetechnologien für Diagnostik und Behandlung: Analysetechnologien für die Labor- und bildgebende Diagnostik, aber auch zur Prädiktion von Therapieeffektivität und -resistenz, werden zur Verlaufsbeurteilung und zur Prävention entwickelt und evaluiert. Diese können beispielsweise mit Verfahren künstlicher Intelligenz realisiert werden (z.B. Bildanalysen auf Basis Neuronaler Netzwerke) oder den Schwerpunkt auf Big Data, Datenbanken und Data-Mining legen.
- Robotik und Assistenzsysteme: Es werden die Einsatzmöglichkeiten von Roboter- und Assistenzsystemen in Klinik und Pflege untersucht.
Verfügbare Projekte
Für 1 Projekt(e) im Programmjahr 2024/25 sind noch Plätze für Studierende der Humanmedizin oder der Informatik verfügbar (Stand 13.06.2024). Hier und über die direkten Verlinkungen unten in den einzelenen Tabellenzeilen gelangen Sie zu den Kurzbeschreibungen noch verfügbarer Projekte.
ID | Projekttitel | Projektleitung | Kooperationspartner |
| P01 | Computerized interpretation of fetal heart rate during labor including clinical parameters | PD Dr. Lars Brodowski
| Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School |
| P02 | Development, feasability and usability of a generic and secure application backed by a large language model with focus on patient education in patients with implantable defibrillators and heart failure | Prof. Dr. David Duncker Hannover Heart Rhythm Center Department oft Cardiology and Angiology Hannover Medical School | Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School |
| P03 | Algorithm development using machine learning to distinguish between tics and functional tic-like movements in videos | Prof. Dr. Kirsten Müller-Vahl Clinic of Psychiatry, Social Psychiatry and Psychotherapy Hannover Medical School | Institut für Informationsverarbeitung, Leibniz Universität Hannover Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School |
| P04 | User-independent AI-based MRI analysis of hepatobiliary function in patients with primary sclerosing cholangitis (PSC) | Prof. Dr. Kristina Ringe Department of Diagnostic and Interventional Radiology Hannover Medical School | Fraunhofer-Institute for Digital Medicine MEVIS |
| P05 | Individualizing HCC surveillance based on an integrative systems medicine approach | Prof. Dr. Markus Cornberg Centre for Individualised Infection Medicine (CiiM), Hannover, Dept. of Gastroenterology, Hepatology and Endocrinology Hannover Medical School | Division Data Science in Biomedicine Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School |
| P06 | Implementation of an AI-supported mental health app in psychocardiology | Prof. Dr. Kai G. Kahl Department of Psychiatry, Social Psychiatry and Psychotherapy Hannover Medical School | Institut für Wirtschaftsinformatik |
| P07 | Identification of biomarkers in hepatocellular carcinoma patients by combining advanced imaging techniques with machine learning approaches | PD Dr. Anna Saborowski Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology Hannover Medical School | Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School |
| P08 | Digital Twin for predicting road traffic injuries | Prof. Dr. Thomas M. Deserno Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School | Klinik für Unfallchirurgie Hannover Medical School |
| P09 | Fibromyalgia Rheumatica and Digital Pain Drawing (FibRDraw) | Prof. Dr. Georg Behrens Department of Rheumatology and Immunology Hannover Medical School | Institute for Information Engineering, Ostfalia University of Applied Sciences Department of Psychosomatics and Psychotherapy |
| P10 | Evaluation of the clinical utility of wearable fitness tracking devices to predict liver related outcomes of patients with liver cirrhosis | Prof. Dr. Benjamin Maasoumy Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology Hannover Medical School | Division Data Science in Biomedicine, Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School Trauma Department, Orthogeriatric Unit, Hannover Medical School |
ID | Projekttitel | Projektleitung | Kooperationspartner |
P01 | Heartbeat Measurements on eScooters for Continuous Health Monitoring | Prof. Dr. rer. nat. Dipl.-Ing. Thomas M. Deserno | Hannover Heart Rhythm Center, Department of Cardiology and Angiology, Hannover Medical School |
P02 | ldentification of risk factors for postoperative acute kidney injury after non-cardiac surgery | PD Dr. med. Thomas Stüber | Department of Nephrology and Hypertension, Hannover Medical School Peter l. Reichertz Institute for Medical lnformatics ofTU Braunschweig and MHH, Hannover Medical School |
P03 | Delineating immune escape mechanisms in acute myeloid leukemia through single-cell analyses | Prof. Dr. med. Michael Heuser | Pediatric Hematology and Oncology, Hannover Medical School Division Data Science in Biomedicine, Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School |
P04 | Ambulatory assessment of online shopping activities in patients with compulsive buying-shopping disorder | Prof. Dr. med. Dr. phil. Astrid Müller | Fakulty III - Media, Information and Design, Hochschule Hannover - University of Applied Sciences and Arts |
P06 | Development of a bioinformatical tool to predict clinical responses to CFTR modulator therapy by integrating microbial metagenomics, inflammatory cell transcriptomics and secretomics | Prof. Dr. med. Anna-Maria Dittrich | Research Core Unit Genomics, Hannover Medical School |
P07 | Towards AI-based registration for advanced functional lung imaging | Prof. Dr. med. Jens Vogel-Claussen |
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P08 | Unsupervised identification of prognostic cell type signatures for CNS infiltration in ALL | Prof. Dr. med. Martin Stanulla | German Center for Lung Research Center, Hannover Medical School |
P09 | Inter-hospital Transfer for Endovascular Treatment in Acute Stroke Care using the Smart Application "VIZ" | PD Dr. med. Hans Worthmann | Peter L. Reichertz Institute for medical informatics of TU Braunschweig and MHH |
P10 | Characterization of Ambulatory Blood Pressure Monitoring (ABPM) Profiles Using Data Mining and Machine Learning in Healthy and Diseased Children | Prof. Dr. med. Anette Melk, PhD Prof. Dr.-Ing. Steffen Oeltze-Jafra Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School | Center of Pediatric and Adolescent Medicine, University Hospital Heidelberg |
P11 | AI-based image analysis in pediatric echocardiography to improve the monitoring of relevant parameters in children with pulmonary hypertension | Dr.-Ing. Mohamed Yaseen Jabarulla
Dr. med. Theodor Uden Pediatric Cardiology and Pediatric Intensive Care Medicine | - |
P12 | Is blended treatment with a WebApp-based therapy of mental disorders after life-threatening cardiac events more effective compared to non-blended treatment? | Prof. Dr. med. Kai G. Kahl | Fkt. IV, Abt. Informatik, Hochschule Hannover |
Projekttitel | Projektleitung | Kooperationspartner |
| P01 - (Semi-) Automated procedures to find arguments for bioethical analyses | Prof. Dr. Sabine Salloch Institute of Ethics, History and Philosophy of Medicine | Institute for Information Systems Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School |
| P02 - Tracking fake papers in scientific journals | Prof. Dr. Roland Seifert Institute of Pharmacology, Hannover Medical School | Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School |
P03 - Deciphering long-term consequences of HCV infection after viral elimination (Long-HepC) using Omics Integration | Prof. Dr. Markus Cornberg Centre for Individualised Infection Medicine (CiiM); | Peter L. Reichertz Institute for Medical Informatics of the TU Braunschweig and the Hannover Medical School |
| P04 - Entwicklung und Evaluation einer App zur Unterstützung von Patientinnen mit erblichen Brust- und Eierstockkrebs nach der genetischen Beratung | PD Dr. Anke K. Bergmann Department of Human Genetics, Hannover Medical School
Prof. Dr.-Ing. Steffen Oeltze-Jafra Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School | Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School |
| P05 - Predictive immune biomarkers in renal cancer: Compare immune landscape of tumors in native and transplanted (immunocompromised) kidneys | Prof. Dr. Jan Hinrich Bräsen Institute of Pathology | Technical University of Braunschweig; Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School |
P06 - Entwicklung von Prädiktionsmodellen für das postoperative Nierenversagen bei Kindern nach Herzoperationen unter Einsatz der Herzlungenmaschine | PD Dr. Martin Böhne Pädiatrische Kardiologie und Intensivmedizin, Medizinische Hochschule Hannover | Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School |
| P07 - Development of Translational Scores for a Quantitative and Time-Dependent Assessment of Disease Severity in Patients | Prof. Dr. André Bleich Laboratory Animal Science, Hannover Medical School | Department of Pediatric Kidney, Liver and Metabolic Diseases, Hannover Medical School |
| P08 - Clinical evaluation with a WebApp-based therapy of mental disorders after life-threatening cardiac events | Prof. Dr. Kai G. Kahl Department of Psychiatry, Social Psychiatry and Psychotherapy | Department of Cardiology and Angiology Abteilung für Informatik, Hochschule Hannover |
| P09 - Next generation Flow-Cytometry to quantify and characterize the leukemic stem cell population in acute myeloid leukemia | Dr. Dr, Adrian Schwarzer Hematology, Hemostasis, Oncology and Stem Cell Transplantation | Peter L. Reichertz Institute for Medical Informatics Clinic of Pediatric Hematology, Hannover Medical School |
| P10 - Towards identifying genetic determinants of antibiotic resistance in clinical Pseudomonas aeruginosa, Escherichia coli and Klebsiella pneumoniae isolates | Prof. Dr. Susanne Häußler Institute for Molecular Bacteriology, TWINCORE | Helmholtz Centre for Infection Research (HZI) |
Projekttitel | Projektleitung | Kooperationspartner |
P03 - Development of an AI-based algorithm to predict kidney injury in stem cell transplant patients | Dr. Gernot Beutel Hämatologie, Hämostaseologie, Onkologie und Stammzell-transplantation Medizinische Hochschule Hannover | Klinikum Braunschweig, Klinik für Nephrologie, Rheumatologie, Blutreinigungsverfahren, Prof. Dr. Jan T. Kielstein |
P06 - Next generation Flow-Cytometry to detect minimal residual disease in acute myeloid leukemia | Dr. Dr. Adrian Schwarzer Hämatologie, Hämostaseologie, Onkologie und Stammzell-transplantation Medizinische Hochschule Hannover | Peter L. Reichertz Institut für Medizinische Informatik |
P07 - The Inner Clock - Introduction and use of a smart communication tool to improve the emergency care of stroke patients | PD Dr. Hans Worthmann Neurologie, Neuroradiologie Medizinische Hochschule Hannover | Hochschule Hannover, Peter L. Reichertz Institut für Medizinische Informatik |
P08 - Determination of reference values of regional ventilation from CT scans of the lungs | Prof. Dr. Hoen-oh Shin Diagnostische und Interventionelle Radiologie Medizinische Hochschule Hannover | Fraunhofer MEVIS Institut für Digitale Medizin, Bremen |
P09 - WebApp-based prevention and therapy of adjustment disorder after life-threatening cardiac events – the “AD-support” study | Prof. Dr. Kai G Kahl / Dr. Ivo-Aleksander Heitland Psychiatrie, Sozialpsychiatrie und Psychotherapie Medizinische Hochschule Hannover | Leibniz Universität Hannover, Information Systems and Management Institute (ISMI) |
P10 - Reducing the socio-economic burden for rare disease patients using artificial intelligence (AI) | Prof. Dr. Annette Doris Wagner Nieren- und Hochdruckerkrankungen Medizinische Hochschule Hannover | Universitätsklinikum Marburg, Institut für Künstliche Intelligenz in der Medizin, Ada Health GmbH |
Hier geht es weiter zu: Aktuelles ►