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Psychopharmacology|July 11, 2025
Relationships among peri-traumatic circulating endocannabinoids and long-term, negative outcomes following traumatic injuryEmily A Albertina, Carissa W Tomas, Timothy J Geier, et al.
Annals of Oncology : Official Journal of the European Society for Medical Oncology|January 9, 2020
Man against machine reloaded: performance of a market-approved convolutional neural network in classifying a broad spectrum of skin lesions in comparison with 96 dermatologists working under less artificial conditionsH A Haenssle, C Fink, F Toberer, et al.
Journal of the American Chemical Society|August 19, 2014
M2(m-dobdc) (M = Mg, Mn, Fe, Co, Ni) metal-organic frameworks exhibiting increased charge density and enhanced H2 binding at the open metal sitesMatthew T Kapelewski, Stephen J Geier, Matthew R Hudson, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV|February 1, 2020
Atopy patch testing with aeroallergens in a large clinical population of dermatitis patients in Germany and Switzerland, 2000-2015: a retrospective multicentre studyH Dickel, L Kuhlmann, A Bauer, et al.
Contact Dermatitis|June 20, 1998
Genotype and phenotype of N-acetyltransferase 2 (NAT2) polymorphism in patients with contact allergyA Schnuch, G A Westphal, M M Müller, et al.
Cell Chemical Biology|May 28, 2026
Covalent PPARγ inverse agonism by FX-909 reveals mechanistic insights into therapeutic targeting of PPARγ/RXRα-activated urothelial carcinomaJacob I Stuckey, Jennifer A Mertz, Jonathan E Wilson, et al.
Journal of the American Chemical Society|July 8, 2014
Reversible CO binding enables tunable CO/H₂ and CO/N₂ separations in metal-organic frameworks with exposed divalent metal cationsEric D Bloch, Matthew R Hudson, Jarad A Mason, et al.
Breast Cancer Research and Treatment|May 9, 2014
Germline BRCA mutation evaluation in a prospective triple-negative breast cancer registry: implications for hereditary breast and/or ovarian cancer syndrome testingPriyanka Sharma, Jennifer R Klemp, Bruce F Kimler, et al.
Annals of Oncology : Official Journal of the European Society for Medical Oncology|May 31, 2018
Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologistsH A Haenssle, C Fink, R Schneiderbauer, et al.
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