Výsledky vyhledávání - "Alexander, Johannes"

Akademický článek

Learning debiased graph representations from the OMOP common data model for synthetic data generation

Autor: Nicolas Alexander Schulz, Jasmin Carus, Alexander Johannes Wiederhold, Ole Johanns, Frederik Peters, Natalie Rath, Katharina Rausch, Bernd Holleczek, Alexander Katalinic, the AI-CARE Working Group, Christopher Gundler

Publikováno v: BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-13 (2024)

Abstract Background Generating synthetic patient data is crucial for medical research, but common approaches build up on black-box models which do not allow for expert verification or intervention. We propose a highly available method which enables s

Externí odkaz: https://doaj.org/article/dec1b1d848d74098abd187748b4ee6cc

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Unlocking the Potential of Secondary Data for Public Health Research: Retrospective Study With a Novel Clinical Platform

Autor: Christopher Gundler, Karl Gottfried, Alexander Johannes Wiederhold, Maximilian Ataian, Marcus Wurlitzer, Jan Erik Gewehr, Frank Ückert

Publikováno v: Interactive Journal of Medical Research, Vol 13, p e51563 (2024)

BackgroundClinical routine data derived from university hospitals hold immense value for health-related research on large cohorts. However, using secondary data for hypothesis testing necessitates adherence to scientific, legal (such as the General D

Externí odkaz: https://doaj.org/article/e33c97edef4f4d6d9a97e17614c807a2

Zobrazit plný text záznamu

Akademický článek

Introducing Attribute Association Graphs to Facilitate Medical Data Exploration: Development and Evaluation Using Epidemiological Study Data

Autor: Louis Bellmann, Alexander Johannes Wiederhold, Leona Trübe, Raphael Twerenbold, Frank Ückert, Karl Gottfried

Publikováno v: JMIR Medical Informatics, Vol 12, p e49865 (2024)

BackgroundInterpretability and intuitive visualization facilitate medical knowledge generation through big data. In addition, robustness to high-dimensional and missing data is a requirement for statistical approaches in the medical domain. A method

Externí odkaz: https://doaj.org/article/ed0db302af9e4479b59a0831f2fe52d2

Zobrazit plný text záznamu

Akademický článek

Bispecific antibody CD73xEGFR more selectively inhibits the CD73/adenosine immune checkpoint on cancer cells and concurrently counteracts pro-oncogenic activities of CD73 and EGFR

Autor: Hao Zhang, Emily Maria Ploeg, Douwe Freerk Samplonius, Xiao Xiong, Xiurong Ke, Mark Alexander Johannes Martinus Hendriks, Isabel Britsch, Anne Paulien van Wijngaarden, Wijnand Helfrich

Publikováno v: Journal for ImmunoTherapy of Cancer, Vol 11, Iss 9 (2023)

Background CD73 is an ecto-enzyme that is involved in the conversion of pro-inflammatory extracellular ATP (eATP) excreted by cancer cells under stress to anti-inflammatory adenosine (ADO). A broad variety of solid cancer types was shown to exploit C

Externí odkaz: https://doaj.org/article/6a3418819425477e9bac1effb2188d03

Zobrazit plný text záznamu