ProjectAge – Bestimmung des organ-spezifischen biologischen Alters anhand von Ganzkörper MRT-Daten aus der NAKO MR Studie
Basic data
Acronym:
Age
Title:
Bestimmung des organ-spezifischen biologischen Alters anhand von Ganzkörper MRT-Daten aus der NAKO MR Studie
Duration:
01/01/2020 to 01/01/2023
Abstract / short description:
Project rational
In this project we aim to implement a machine learning based regression model for whole body MR – based estimation of chronological and biological age.
In this project we aim to implement a machine learning based regression model for whole body MR – based estimation of chronological and biological age.
Keywords:
machine learning
maschinelles Lernen
Ganzkörper MRT
organ-spezifisches biologisches Alter
radiomics
Radiomics
Involved staff
Managers
Faculty of Medicine
University of Tübingen
University of Tübingen
Contact persons
Faculty of Medicine
University of Tübingen
University of Tübingen
Cluster of Excellence: Image-Guided and Functionally Instructed Tumor Therapies (iFIT)
Centers or interfaculty scientific institutions
Centers or interfaculty scientific institutions
Other staff
Faculty of Medicine
University of Tübingen
University of Tübingen
Institute for Bioinformatics and Medical Informatics (IBMI)
Interfaculty Institutes
Interfaculty Institutes
Faculty of Medicine
University of Tübingen
University of Tübingen
Faculty of Medicine
University of Tübingen
University of Tübingen
Local organizational units
Department of Diagnostic and Interventional Radiology
Department of Radiology
Hospitals and clinical institutes, Faculty of Medicine
Hospitals and clinical institutes, Faculty of Medicine
Funders
Bonn, Nordrhein-Westfalen, Germany