Verfügbare Projekte
... für Studierende der Informatik
Es sind aktuell im verfügbar (sekundäres Zulassungsverfahren, Stand: 29.08.2024):
- 2 Masterprojekt(e) für Studierende der Informatik.
- 0 Promotionsprojekt(e) für Studierende der Humanmedizin
Bei Interesse an den Projekten sowie bei inhaltlichen Fragen wenden Sie sich bitte direkt an die jeweilige Projektleitung. Die Bewerbung erfolgt über das DigiStrucMed-Programm, bitte lassen Sie uns bei Interesse am Projekt Ihre vollständigen Bewerbungsunterlagen zukommen.
Ein Einstieg in das Projekt ist möglich für Informatikstudierende ab sofort bis 1. Februar 2024 (in Absprache mit den Projektverantwortlichen) und für Medizinstudierende zum 1. Juli oder 1. August 2024 (späterer Beginn ggf. möglich nach Rücksprache).
P02 - Development, feasibility 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
(Verfügbar: Masterprojekt für Studierende:n der Informatik)
Implantable defibrillators are implanted in patients with chronic heart failure. To lower the risk for adverse events and to improve prognosis, close monitoring and education of these patients is crucial. Therefore, several tools to facilitate implementation of (semi-)continuous monitoring into daily clinical practice have been developed. However, patients may also benefit from a better understanding of their own disease as this may not only result in a better treatment compliance, but may also improve patient reported outcome measurements (PROMs) such as quality of life.
This project aims to develop a digital application focusing on patient education in patients with implantable defibrillators and heart failure and, moreover, to examine the feasibility and usability of such an approach. Thereby, a primary focus will be to explore how generative Al can be deployed for patient education. More precisely. we aim to develop an application tool which can be used with mobile digital devices. The intention is to create the content with the help of a trained large language model. The application shall include patient-oriented learning modules based on guideline-directed information. In addition, this approach shall offer patients the opportunity to engage in a dialogue via a chat function and ask their individual questions. This content may help the patient to better understand the disease itself and to detect severe complications such as acute cardiac decompensation. After developing such a digital tool, a pilot trial addressing the feasibility and usability of such an approach after a 4-week period, based on different validated questionnaires given to the patients prior and after app-usage and examining e.g. anxiety and depression (HADS questionnaire), quality of life (WHOQOL-BREF questionnaire) as well as the quality of the mobile application (uMARS questionnaire) in patients with known heart failure, is planned.
Projektleitung:
Department of Cardiology and Angiology, Hannover Heart Rhythm Center
Hannover Medical School
Betreuung der Informatik:
Prof. Dr. Dr. Michael Marschollek
Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School
(Standort: Hannover Medical School)
P10 - Evaluation of the clinical utility of wearable fitness tracking devices to predict liver related outcomes of patients with liver cirrhosis
(Verfügbar: Masterprojekt für Studierende:n der Informatik)
Frailty is a common and serious complication in patients with liver cirrhosis, which has a negative impact on quality of life and the long-term clinical course. Diagnosis of frailty is based on the Liver Frailty Index (LFI), which is a clinical assessment including physical exercises (balancing, hand grip strength and chair raises). Frailty assessment is time and personnel consuming and is therefore not regularly used in clinical routine. Wearable fitness tracking devices (WFT) use accelerometer data to assess activity levels. and are integrated into smartphones and smartwatches. Thus, they offer a longer, more comprehensive and unsupervised data assessment. Our own preliminary data show that accelerometer data correlates with frailty assessment by LFI. Therefore, our hypothesis is that WFTs can replace LFI for frailty assessment and will even be superior in the prediction of liver-related outcomes in patients with cirrhosis. In this project LFI and accelerometer data will be assessed by the medical student who will also collect clinical data and perform follow-up visits including various clinical assessments. Associations between the accelerometer data and the LFI will be investigated jointly by the medical student in close collaboration with the computer science student. To this end, the computer science student will develop a machine learning approach, predicting LFI from WFT data as well as frequent cirrhosis-associated complications. Applicability and transferability to commercially available WFTs will be evaluated by the computer science student.
Projektleitung:
Prof. Dr. med. Benjamin Maasoumy
Department of Gastroenterology, Hepatology, Infectious Diseases and Endocrinology
Hannover Medical School
Betreuung der Informatik:
Division Data Science in Biomedicine,
Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School (TU Braunschweig)