Jörn Lötsch

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 42

Top Venues

Chemical senses

International journal of molecular sciences

PloS one

Journal of clinical medicine

Goethe-University

Goethe-Universität Frankfurt am Main (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Goethe-University

Germany

Pofessor

Goethe-Universitat Frankfurt am Main

Germany

Reseracher/Assistent professor

Technische Universitat Dresden

Germany

Postdoc :: Clinical Pharmacology

Städtisches Klinikum Görlitz gGmbH Sep 01 1987 - Mar 31 1990

Germany

Medical Doctor

Education History

Goethe-Universität Frankfurt am Main

Germany

PHD

Publications

Jörn Lötsch, Oskar Brosig, Jana Slobodova, Dario Kringel, Antje Haehner, Thomas Hummel
Diagnosed and subjectively perceived long-term effects of COVID-19 infection on olfactory function assessed by supervised machine learning. Chemical senses (2024)
Teemu Zetterman, Anni I Nieminen, Ritva Markkula, Eija A Kalso, Jörn Lötsch
Machine learning identifies fatigue as a key symptom of fibromyalgia reflected in tyrosine, purine, pyrimidine, and glutaminergic metabolism. Clinical and translational science 17 (3) (2024)
Benjamin Mayer, Dario Kringel, Jörn Lötsch
Artificial intelligence and machine learning in clinical pharmacological research. Expert review of clinical pharmacology 17 (1) (2024)
Benjamin Mayer, Dario Kringel, Jörn Lötsch
Artificial intelligence and machine learning in clinical pharmacological research. Expert review of clinical pharmacology (2024)
Jörn Lötsch, Oskar Brosig, Jana Slobodova, Dario Kringel, Antje Hähner, Thomas Hummel
Diagnosed and subjectively perceived long-term effects of COVID-19 infection on olfactory function assessed by supervised machine learning. Chemical senses 49 (2024)
Jörn Lötsch, Anne Wolter, Antje Hähner, Thomas Hummel
Odor dilution sorting as a clinical test of olfactory function: normative values and reliability data. Chemical senses 49 (2024)
Benjamin Mayer, Dario Kringel, Jörn Lötsch
Artificial intelligence and machine learning in clinical pharmacological research. Expert review of clinical pharmacology 17 (1) (2024)
Teemu Zetterman, Anni I Nieminen, Ritva Markkula, Eija A Kalso, Jörn Lötsch
Machine learning identifies fatigue as a key symptom of fibromyalgia reflected in tyrosine, purine, pyrimidine, and glutaminergic metabolism. Clinical and translational science 17 (3) (2024)
Jörn Lötsch, Dario Kringel, Alfred Ultsch
Revisiting Fold-Change Calculation: Preference for Median or Geometric Mean over Arithmetic Mean-Based Methods. Biomedicines 12 (8) (2024)
Teemu Zetterman, Anni I Nieminen, Ritva Markkula, Eija A Kalso, Jörn Lötsch
Machine learning identifies fatigue as a key symptom of fibromyalgia reflected in tyrosine, purine, pyrimidine, and glutaminergic metabolism. Clinical and translational science 17 (3) (2024)
Jörn Lötsch, Dario Kringel, Alfred Ultsch
Revisiting Fold-Change Calculation: Preference for Median or Geometric Mean over Arithmetic Mean-Based Methods. Biomedicines 12 (8) (2024)
Jörn Lötsch, Oskar Brosig, Jana Slobodova, Dario Kringel, Antje Hähner, Thomas Hummel
Diagnosed and subjectively perceived long-term effects of COVID-19 infection on olfactory function assessed by supervised machine learning. Chemical senses 49 (2024)
Jörn Lötsch, Oskar Brosig, Jana Slobodova, Dario Kringel, Antje Hähner, Thomas Hummel
Diagnosed and subjectively perceived long-term effects of COVID-19 infection on olfactory function assessed by supervised machine learning. Chemical senses 49 (2024)
Jörn Lötsch, Anne Wolter, Antje Hähner, Thomas Hummel
Odor dilution sorting as a clinical test of olfactory function: normative values and reliability data. Chemical senses 49 (2024)
Jörn Lötsch, Anne Wolter, Antje Hähner, Thomas Hummel
Odor dilution sorting as a clinical test of olfactory function: normative values and reliability data. Chemical senses (2024)
Jörn Lötsch, Alfred Ultsch
Comments on the importance of visualizing the distribution of pain-related data. European journal of pain (London, England) (2023)
Teemu Miettinen, Anni I Nieminen, Pekka Mäntyselkä, Eija A Kalso, Jörn Lötsch
Machine Learning and Pathway Analysis-Based Discovery of Metabolomic Markers Relating to Chronic Pain Phenotypes. International journal of molecular sciences 23 (9) (2022)
Jörn Lötsch, Anne Huster, Thomas Hummel
Sorting of Odor Dilutions Is a Meaningful Addition to Assessments of Olfactory Function as Suggested by Machine-Learning-Based Analyses. Journal of clinical medicine 11 (14) (2022)
Alfred Ultsch, Jörn Lötsch
Robust Classification Using Posterior Probability Threshold Computation Followed by Voronoi Cell Based Class Assignment Circumventing Pitfalls of Bayesian Analysis of Biomedical Data. International journal of molecular sciences 23 (22) (2022)
Jörn Lötsch, Laura Mustonen, Hanna Harno, Eija A Kalso
Machine-Learning Analysis of Serum Proteomics in Neuropathic Pain after Nerve Injury in Breast Cancer Surgery Points at Chemokine Signaling via SIRT2 Regulation. International journal of molecular sciences 23 (7) (2022)
Jörn Lötsch, Alfred Ultsch, Benjamin Mayer, Dario Kringel
Artificial intelligence and machine learning in pain research: a data scientometric analysis. Pain reports 7 (6) (2022)
Jörn Lötsch, Antje Hähner, Peter E H Schwarz, Sergey Tselmin, Thomas Hummel
Machine Learning Refutes Loss of Smell as a Risk Indicator of Diabetes Mellitus. Journal of clinical medicine 10 (21) (2021)
Dario Kringel, Sebastian Malkusch, Eija Kalso, Jörn Lötsch
Computational Functional Genomics-Based AmpliSeq™ Panel for Next-Generation Sequencing of Key Genes of Pain. International journal of molecular sciences 22 (2) (2021)
Jörn Lötsch, Constantin A Hintschich, Petros Petridis, Jürgen Pade, Thomas Hummel
Machine-Learning Points at Endoscopic, Quality of Life, and Olfactory Parameters as Outcome Criteria for Endoscopic Paranasal Sinus Surgery in Chronic Rhinosinusitis. Journal of clinical medicine 10 (18) (2021)
Sebastian Malkusch, Lisa Hahnefeld, Robert Gurke, Jörn Lötsch
Visually guided preprocessing of bioanalytical laboratory data using an interactive R notebook (pguIMP). CPT: pharmacometrics & systems pharmacology 10 (11) (2021)
Jörn Lötsch, Sebastian Malkusch, Alfred Ultsch
Optimal distribution-preserving downsampling of large biomedical data sets (opdisDownsampling). PloS one 16 (8) (2021)
Dario Kringel, Sebastian Malkusch, Jörn Lötsch
Drugs and Epigenetic Molecular Functions. A Pharmacological Data Scientometric Analysis. International journal of molecular sciences 22 (14) (2021)
Jörn Lötsch, Bruno G Oertel, Lisa Felden, Ulrike Nöth, Ralf Deichmann, Thomas Hummel, Carmen Walter
Central encoding of the strength of intranasal chemosensory trigeminal stimuli in a human experimental pain setting. Human brain mapping 41 (18) (2020)
Jörn Lötsch, Dario Kringel, Gerd Geisslinger, Bruno G Oertel, Eduard Resch, Sebastian Malkusch
Machine-Learned Association of Next-Generation Sequencing-Derived Variants in Thermosensitive Ion Channels Genes with Human Thermal Pain Sensitivity Phenotypes. International journal of molecular sciences 21 (12) (2020)
Jörn Lötsch, Alfred Ultsch
A non-parametric effect-size measure capturing changes in central tendency and data distribution shape. PloS one 15 (9) (2020)
Florian Lerch, Alfred Ultsch, Jörn Lötsch
Distribution Optimization: An evolutionary algorithm to separate Gaussian mixtures. Scientific reports 10 (1) (2020)
Jörn Lötsch, Sebastian Malkusch
Interpretation of cluster structures in pain-related phenotype data using explainable artificial intelligence (XAI). European journal of pain (London, England) 25 (2) (2020)
Dario Kringel, Mari A Kaunisto, Eija Kalso, Jörn Lötsch
Machine-learned analysis of global and glial/opioid intersection-related DNA methylation in patients with persistent pain after breast cancer surgery. Clinical epigenetics 11 (1) (2019)
Jörn Lötsch, Antje Haehner, Thomas Hummel
Machine-learning-derived rules set excludes risk of Parkinson's disease in patients with olfactory or gustatory symptoms with high accuracy. Journal of neurology 267 (2) (2019)
Jörn Lötsch, Alfred Ultsch
Current Projection Methods-Induced Biases at Subgroup Detection for Machine-Learning Based Data-Analysis of Biomedical Data. International journal of molecular sciences 21 (1) (2019)
Jörn Lötsch, Reetta Sipilä, Tiina Tasmuth, Dario Kringel, Ann-Mari Estlander, Tuomo Meretoja, Eija Kalso, Alfred Ultsch
Machine-learning-derived classifier predicts absence of persistent pain after breast cancer surgery with high accuracy. Breast cancer research and treatment 171 (2) (2018)
Jörn Lötsch, Susanne Schiffmann, Katja Schmitz, Robert Brunkhorst, Florian Lerch, Nerea Ferreiros, Sabine Wicker, Irmgard Tegeder, Gerd Geisslinger, Alfred Ultsch
Machine-learning based lipid mediator serum concentration patterns allow identification of multiple sclerosis patients with high accuracy. Scientific reports 8 (1) (2018)
Jörn Lötsch
Data visualizations to detect systematic errors in laboratory assay results. Pharmacology research & perspectives 5 (6) (2018)
Dario Kringel, Marco Sisignano, Sebastian Zinn, Jörn Lötsch
Next-generation sequencing of the human TRPV1 gene and the regulating co-players LTB4R and LTB4R2 based on a custom AmpliSeq™ panel. PloS one 12 (6) (2017)
Alfred Ultsch, Jörn Lötsch
A data science based standardized Gini index as a Lorenz dominance preserving measure of the inequality of distributions. PloS one 12 (8) (2017)
Carmen Walter, Bruno G Oertel, Lisa Felden, Ulrike Nöth, Johannes Vermehren, Ralf Deichmann, Jörn Lötsch
Effects of oral Δ9-tetrahydrocannabinol on the cerebral processing of olfactory input in healthy non-addicted subjects. European journal of clinical pharmacology 73 (12) (2017)
Jörn Lötsch, Alfred Ultsch
A machine-learned computational functional genomics-based approach to drug classification. European journal of clinical pharmacology 72 (12) (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jörn Lötsch