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http://dx.doi.org/10.1016/j.jaad.2025.08.092 | DOI Listing |
Brain Res
September 2025
Institute of Cognitive Neuroscience and Psychology, HUN-REN Research Centre for Natural Sciences, Hungary.
Identifying early predictors of language development is essential for understanding how infants acquire vocabulary during the first years of life. While previous studies have established the importance of infant-directed speech (IDS) and neural speech processing, this longitudinal study introduces a novel approach by combining EEG-based functional connectivity analysis and machine learning to assess the joint contribution of maternal and infant neural factors to language outcomes. Data were collected at birth and nine months, including maternal personality and speech characteristics, alongside infant EEG responses during speech processing.
View Article and Find Full Text PDFJ Affect Disord
September 2025
Department of Sociology, Zhejiang University, Hangzhou, 310058, China. Electronic address:
Despite growing recognition of health as a multidimensional construct, few studies have examined how physical, psychological, and behavioral health dimensions coalesce and evolve across the transition from young to middle adulthood, especially within the context of life-course adversities. Existing research often focuses on isolated health indicators or overlooks the dynamic, fluid nature of health over time. Additionally, the combined effects of childhood and adulthood adversities on health transitions remain underexplored.
View Article and Find Full Text PDFJ Am Acad Dermatol
September 2025
Sorbonne Université, Faculté de médecine, AP-HP, Service de Dermatologie et Allergologie, Hôpital Tenon, F75020 Paris, France; Sorbonne Université, Inserm, Centre d'Immunologie et des Maladies Infectieuses (Cimi- Paris), F75013 Paris, France. Electronic address:
Neurosci Biobehav Rev
September 2025
Psychiatry and Clinical Psychobiology, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy; University Vita-Salute San Raffaele, Milano, Italy.
Machine learning (ML) could be useful in identifying reliable predictors of treatment response in affective and not affective psychoses, potentially helping to propose personalized interventions. In this systematic review and meta-analysis, we evaluated studies exploiting ML algorithms to predict the improvement of psychotic symptoms, cognition and quality of life in psychoses related to different treatments. We searched MEDLINE (PubMed), Web of Science, and PsycINFO databases updated until February 2024, identifying 64 articles published in English in peer-reviewed journals.
View Article and Find Full Text PDFHealth Policy Plan
September 2025
Department of Pharmacy and Pharmacology, School of Therapeutic Sciences, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, 2193, South Africa.
This study explored the knowledge and perceptions of pharmacists in Gauteng, South Africa, regarding electronic prescribing implementation. As South Africa commences digital transformation in healthcare, this study identifies factors that will facilitate implementation and barriers that will hinder e-prescribing adoption, the findings which may contribute to policy reform. A mixed-methods study using a self-administered questionnaire was used to assess pharmacists' knowledge and perception of electronic prescribing and distributed through email to pharmacists (n=386).
View Article and Find Full Text PDF