5 results match your criteria: "School for Computation[Affiliation]"
Digit Health
May 2024
Department of Cardiology, German Heart Center Munich, Technical University Munich, Munich, Germany.
Background: Mobile health (mHealth) apps can be used for cardiovascular disease (CVD) prevention. User-centered design, evidence-based content and user testing can be applied to ensure a high level of usability and adequate app access.
Objective: To develop and evaluate an mHealth app () for CVD prevention.
Entropy (Basel)
February 2024
School for Computation, Information and Technology, TU München (TUM), 80333 Munich, Germany.
NPJ Microgravity
January 2024
Institute of Aerospace Medicine, Department of Muscle and Bone Metabolism, German Aerospace Center, Cologne, Germany.
The aim of this work was to explore whether real-world walking speed (RWS) would change as a consequence of 60-day bed-rest. The main hypothesis was that daily RWS would decrease after the bed-rest, with a subsequent recovery during the first days of re-ambulation. Moreover, an exploratory analysis was done in order to understand whether there is an agreement between the loss in RWS after bed-rest and the loss in the maximum oxygen uptake capacity (VO), or the loss in maximal vertical jump power (JUMP) respectively.
View Article and Find Full Text PDFJMIR Cardio
December 2023
Department of Cardiology, German Heart Center Munich, Technical University of Munich, Munich, Germany.
Background: Identifying high-risk individuals is crucial for preventing cardiovascular diseases (CVDs). Currently, risk assessment is mostly performed by physicians. Mobile health apps could help decouple the determination of risk from medical resources by allowing unrestricted self-assessment.
View Article and Find Full Text PDFArXiv
June 2023
School for Computation, Information, and Technology, Technical Universtity of Munich, Germany.
is a disease driven by random DNA mutations and the interaction of many complex phenomena. To improve the understanding and ultimately find more effective treatments, researchers leverage computer simulations mimicking the tumor growth . The challenge here is to account for the many phenomena influencing the disease progression and treatment protocols.
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