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http://dx.doi.org/10.1016/j.ajp.2017.12.014 | DOI Listing |
Front Psychiatry
July 2025
Department of Physiology, All India Institute of Medical Sciences, New Delhi, India.
Introduction: Rodent models are widely used to understand brain pathologies and address cognitive deficits experienced by humans diagnosed with clinical disorders. However, stark differences in the nervous system and in the environmental demands of rodents and humans make it difficult to translate insights from rodents to humans. Age and sex further increase vulnerability to disorders via experiences marked by neglect, deprivation, threat, and constraining environments instead of care, nutrition, safety, and enriching environment.
View Article and Find Full Text PDFJ Gambl Stud
August 2025
Chestnut Hill Analytics Insights, Boston, Massachusetts, USA.
Open banking provides an opportunity to leverage bank transaction data to support gambling harm prevention by providing an objective and comprehensive view of individuals' gambling activities. In this study, we present a large-scale descriptive analysis of gambling transaction activity from an open banking dataset, representing a sample of 1,030,788 users of a credit scoring service in the UK for 2022. The median gambler (n = 650,502) transacted with 2 merchants, made 14 deposits, had a typical debit of £10.
View Article and Find Full Text PDFIndian J Psychol Med
July 2025
Dept. of Psychiatry, SRM Medical College Hospital and Research Centre, SRMIST, Chengalpattu District, Tamil Nadu, India.
JAMA Dermatol
August 2025
Department of Dermatology, Yale School of Medicine, New Haven, Connecticut.
Importance: The Ichthyosis Scoring System (ISS) is a reliable instrument for assessing ichthyosis severity. The ISS's performance in individuals with skin of color (ie, Fitzpatrick IV-VI skin types) remains unknown because it was initially assessed in individuals with Fitzpatrick I to III skin types.
Objective: To assess the reliability of the ISS in individuals with Fitzpatrick IV to VI skin types.
Clin Transl Sci
July 2025
Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota, USA.
Major depressive disorder (MDD) is a substantial public health challenge. Pharmacogenomics (PGx), which identifies genetic variations that predict drug treatment outcomes, may have utility for clinical practice, but adequate representation of all populations is needed. As precision medicine in psychiatry moves towards the use of Artificial Intelligence (AI) and Machine Learning (ML) to predict treatment outcomes using PGx data, representation of diverse populations will be especially important in order to mitigate algorithmic bias and achieve equitable and generalizable findings.
View Article and Find Full Text PDF