Jorn Lotsch
Frankfurt Am Main, HE 60596, Germany
Last Updated: 09/26/2026
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Found 195 publications
Integrated quantitative sensory testing and psychological phenotyping dataset for capsaicin-induced neuropathic pain susceptibility.
Journal: Data in brief
Published: July 13, 2026
A model-agnostic framework for dataset-specific selection of missing value imputation methods in pain-related numerical data.
Journal: Canadian journal of pain = Revue canadienne de la douleur
Published: February 05, 2026
Self-organizing neural network-based generative AI with embedded error inflation control enhances effective knowledge extraction from preclinical studies with reduced sample size.
Journal: Pharmacological research
Published: January 15, 2026
Resolving Interpretation Challenges in Machine Learning Feature Selection With an Iterative Approach in Biomedical Pain Data.
Journal: European journal of pain (London, England)
Published: September 22, 2025
Voronoi tessellation as a complement or replacement for confidence ellipses in the visualization of data projection and clustering results.
Journal: PloS one
Published: September 16, 2025
Dimensionality-modulated generative AI for safe biomedical dataset augmentation.
Journal: iScience
Published: July 18, 2025
Quantitative sensory testing and classical pain model dataset in 127 healthy volunteers.
Journal: Data in brief
Published: June 11, 2025
Knowledge of the genetics of human pain gained over the last decade from next-generation sequencing.
Knowledge of the genetics of human pain gained over the last decade from next-generation sequencing.
Journal: Pharmacological research
Published: January 03, 2025
Machine learning and biological validation identify sphingolipids as potential mediators of paclitaxel-induced neuropathy in cancer patients.
Journal: eLife
Published: September 30, 2024
Integrating AI and Machine Learning Into Pain Research and Therapy.
Journal: European journal of pain (London, England)
Published: May 16, 2024
Last Updated: 09/26/2026