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ShareScore release 0.9.0
Dataset results
66 results for “skin sensitization”
A Clinical Study to Assess the Safety and Effectiveness of Utixira Lotion and Utixira Tablet in Healthy Adult Human Subjects With Dry or Sensitive Skin Prone to Mild to Moderate Pruritus and Urticaria
ClinicalTrials.gov study NCT06924840. IPD Sharing: NO. Countries: 0. Publications: 0.
The Application of Bovine Basic Fibroblast Growth Factor Gel in the Treatment of Sensitive Skin
ClinicalTrials.gov study NCT06516939. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Study to Determine the Safety and Sensitizing Potential of HAT1 Topical Products Using Skin Sensitivity Patch Tests
ClinicalTrials.gov study NCT03406117. IPD Sharing: Not stated. Countries: 0. Publications: 0.
TMC435-TiDP16-C125 - Study in Healthy Volunteers to Evaluate the Potential of TMC435 to Increase the Sensitivity of the Skin Towards Exposure to Sun Light
ClinicalTrials.gov study NCT01124799. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Skin inflammation exacerbates food allergy symptoms in epicutaneously sensitized mice
GEO Series GSE95278. Mus musculus. 4 samples. Type: Expression profiling by array.
Predicting the skin sensitization potential of small molecules with machine learning models trained on biologically meaningful descriptors
<p>In recent years a number of machine learning models for the prediction of the skin sensitization potential of small organic molecules have been reported and become available. These models generally perform well within their applicability domains but, as a result of the use of molecular fingerprints and other non-intuitive descriptors, the interpretability of the existing models is clearly limited. The aim of this work is to develop a strategy to replace the non-intuitive features by predicted outcomes of bioassays. We show that such replacement is indeed possible and that as few as ten interpretable, predicted bioactivities are sufficient to reach competitive performance. On a holdout data set of 257 compounds, the best model ("Skin Doctor CP:Bio") obtained an efficiency of 0.82 and an MCC of 0.52 (at the significance level of 0.20). Skin Doctor CP:Bio is available from the authors free of charge for academic research. The modeling strategies explored in this work are easily transferable and could be adopted for the development of more interpretable machine learning models for the prediction of the bioactivity and toxicity of small organic compounds.</p> <p>The corresponding research article has been published in <em>Pharmaceuticals</em> <strong>2021</strong>, <em>14</em>(8), 790, DOI: <a href="https://doi.org/10.3390/ph14080790">https://doi.org/10.3390/ph14080790</a></p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.