Martin Daumer

ORCID: 0000-0001-9615-7632
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About
Contact & Profiles
Research Areas
  • Spaceflight effects on biology
  • Artificial Intelligence in Healthcare and Education
  • Biomedical Ethics and Regulation
  • Balance, Gait, and Falls Prevention
  • Ethics and Social Impacts of AI
  • Meta-analysis and systematic reviews
  • International Science and Diplomacy
  • Ethics in Clinical Research
  • Musculoskeletal pain and rehabilitation
  • Cardiovascular and exercise physiology
  • Health Systems, Economic Evaluations, Quality of Life
  • Statistical Methods in Clinical Trials
  • Physical Activity and Health

Sylvia Lawry Centre for Multiple Sclerosis Research
2007-2024

Technical University of Munich
2022-2024

Artificial intelligence (AI) and machine learning medical tools have the potential to be transformative in care delivery; however, this change will only realized if accompanied by effective governance that ensures patient safety public trust. Recent digital health initiatives called for tighter of health. A correct balance must found between ensuring product performance while also enabling innovation needed deliver better approaches patients affordable efficient society. This requires...

10.2196/43682 article EN cc-by Journal of Medical Internet Research 2023-04-14

Abstract The aim of this work was to explore whether real-world walking speed (RWS) would change as a consequence 60-day bed-rest. main hypothesis that daily RWS decrease after the bed-rest, with subsequent recovery during first days re-ambulation. Moreover, an exploratory analysis done in order understand there is agreement between loss bed-rest and maximum oxygen uptake capacity (VO 2max ), or maximal vertical jump power (JUMP) respectively. Twenty-four subjects were randomly assigned one...

10.1038/s41526-023-00342-8 article EN cc-by npj Microgravity 2024-01-13

Abstract Objectives Understanding differences between real-world walking speed (RWS) and laboratory-measured (LWS) is crucial for comprehensive mobility assessments, especially in context of prolonged immobilization. This study aimed to investigate disparities following a 60-day bed-rest period. Methods In 11 male participants, RWS was continuously monitored using tri-axial accelerometer worn on the waist, while LWS assessed via 10-m walk test at preferred speed, three different days after...

10.1515/teb-2024-0029 article EN Deleted Journal 2024-11-22

Abstract *Objective* We have assessed the utility of a pre-publication validation policy in reducing probability publishing false positive research findings. *Study design and setting*The large database Sylvia Lawry Centre for Multiple Sclerosis Research was split two parts: one hypothesis generation part confirmation selected results. present case studies from 5 finalized projects that used results simulation study. *Results* In project, "relapse disability" project as described section II...

10.1038/npre.2007.433.1 preprint EN Nature Precedings 2007-07-12

<sec> <title>UNSTRUCTURED</title> Artificial intelligence (AI) and machine learning medical tools have the potential to be transformative in care delivery; however, this change will only realized if accompanied by effective governance that ensures patient safety public trust. Recent digital health initiatives called for tighter of health. A correct balance must found between ensuring product performance while also enabling innovation needed deliver better approaches patients affordable...

10.2196/preprints.43682 preprint EN 2022-10-20
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