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http://dx.doi.org/10.1016/j.ejpn.2024.01.005 | DOI Listing |
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 PDFAdv Nutr
September 2025
Prevention Research Center, Stanford University School of Medicine, Stanford, CA, United States.
The sine qua non of intervention studies in general, and randomized controlled trials in particular, is to define and isolate an exposure of interest that defines the intervention and distinguishes between groups. The isolation of a presumptive cause is prerequisite to the confident attribution of given effects. In the context of dietary intervention studies, this has historically translated into a unitary intervention diet type, no matter the diversity of preferences, tastes, upbringings, ethnicities, and cultures represented in a given study cohort.
View Article and Find Full Text PDFLancet Infect Dis
September 2025
Global Health Governance Programme, Usher Institute, University of Edinburgh, Edinburgh, UK.
Background: Most countries have endorsed a national action plan (NAP) on antimicrobial resistance. We previously used a governance framework to assess NAPs on antimicrobial resistance available for the period of 2020-21 from 114 countries, finding substantial variation worldwide in the commitment of resources to address an escalating global health challenge. We sought to expand and advance this analysis to include the NAPs of more low-income and middle-income countries, to cover the period of 2021-22, and to examine the strength of NAPs to address antimicrobial resistance.
View Article and Find Full Text PDFNurs Ethics
September 2025
Department of Clinical and Organizational Ethics, University Health Network, Toronto, ON, Canada.
BackgroundHealthcare workers are increasingly subject to violence, aggression, and discriminatory requests from patients and families, reflecting broader societal biases within healthcare settings. In response, some institutions have developed policies and decision-making tools to guide leaders in addressing these situations ethically, consistently, and in accordance with human rights obligations.AimThis paper describes the revision of a previously published Caregiver Preference Algorithm to guide healthcare leaders in managing discriminatory patient requests.
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