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Alfred Ultsch

Showing results (31-40 of 71) with videos related to

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Plos One|August 5, 2021
Optimal distribution-preserving downsampling of large biomedical data sets (opdisDownsampling)Jörn Lötsch, Sebastian Malkusch, Alfred Ultsch
Scientific Reports|October 20, 2023
A perspective of randomness in a clinical test of olfactory performanceJörn Lötsch, Thomas Hummel, Alfred Ultsch
Pain|July 15, 2014
Human models of pain for the prediction of clinical analgesiaJörn Lötsch, Bruno G Oertel, Alfred Ultsch
Plos One|October 14, 2020
Analyzing the fine structure of distributionsMichael C Thrun, Tino Gehlert, Alfred Ultsch
Frontiers in Molecular Neuroscience|August 30, 2017
Integrated Computational Analysis of Genes Associated with Human Hereditary Insensitivity to Pain. A Drug Repurposing PerspectiveJörn Lötsch, Catharina Lippmann, Dario Kringel, et al.
Pain Reports|November 9, 2022
Artificial intelligence and machine learning in pain research: a data scientometric analysisJörn Lötsch, Alfred Ultsch, Benjamin Mayer, et al.
Mutation Research. Reviews in Mutation Research|March 14, 2012
The pharmacogenetic background of hepatitis C treatmentChristina Schlecker, Alfred Ultsch, Gerd Geisslinger, et al.
Epigenomics|September 5, 2015
Methadone induces hypermethylation of human DNAClaudia Knothe, Alexandra Doehring, Alfred Ultsch, et al.
Pharmacogenomics|May 25, 2018
Computational functional genomics-based approaches in analgesic drug discovery and repurposingCatharina Lippmann, Dario Kringel, Alfred Ultsch, et al.
Pharmacological Research|March 16, 2026
Self-organizing neural network-based generative AI with embedded error inflation control enhances effective knowledge extraction from preclinical studies with reduced sample sizeJörn Lötsch, Benjamin Mayer, Natasja de Bruin, et al.
Pageof 8

Showing results (31-40 of 71) with videos related to

Sort By:
Pageof 8
Plos One|August 5, 2021
Optimal distribution-preserving downsampling of large biomedical data sets (opdisDownsampling)Jörn Lötsch, Sebastian Malkusch, Alfred Ultsch
Scientific Reports|October 20, 2023
A perspective of randomness in a clinical test of olfactory performanceJörn Lötsch, Thomas Hummel, Alfred Ultsch
Pain|July 15, 2014
Human models of pain for the prediction of clinical analgesiaJörn Lötsch, Bruno G Oertel, Alfred Ultsch
Plos One|October 14, 2020
Analyzing the fine structure of distributionsMichael C Thrun, Tino Gehlert, Alfred Ultsch
Frontiers in Molecular Neuroscience|August 30, 2017
Integrated Computational Analysis of Genes Associated with Human Hereditary Insensitivity to Pain. A Drug Repurposing PerspectiveJörn Lötsch, Catharina Lippmann, Dario Kringel, et al.
Pain Reports|November 9, 2022
Artificial intelligence and machine learning in pain research: a data scientometric analysisJörn Lötsch, Alfred Ultsch, Benjamin Mayer, et al.
Mutation Research. Reviews in Mutation Research|March 14, 2012
The pharmacogenetic background of hepatitis C treatmentChristina Schlecker, Alfred Ultsch, Gerd Geisslinger, et al.
Epigenomics|September 5, 2015
Methadone induces hypermethylation of human DNAClaudia Knothe, Alexandra Doehring, Alfred Ultsch, et al.
Pharmacogenomics|May 25, 2018
Computational functional genomics-based approaches in analgesic drug discovery and repurposingCatharina Lippmann, Dario Kringel, Alfred Ultsch, et al.
Pharmacological Research|March 16, 2026
Self-organizing neural network-based generative AI with embedded error inflation control enhances effective knowledge extraction from preclinical studies with reduced sample sizeJörn Lötsch, Benjamin Mayer, Natasja de Bruin, et al.
Pageof 8