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No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence.
Glob Ment Health (Camb)
January 2025
Social, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Given the rate of advancement in predictive psychiatry, there is a threat that it outpaces public and professional willingness for use in clinical care and public health. Prediction tools in psychiatry estimate the risk of future development of mental health conditions. Prediction tools used with young populations have the potential to reduce the worldwide burden of depression.
View Article and Find Full Text PDFAssessing local service providers' needs for scaling up MHPSS interventions for Ukrainian refugees: Insights from Poland, Slovakia, and Romania.
Glob Ment Health (Camb)
December 2024
World Health Organization Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy.
Providing Mental Health and Psychosocial Support interventions (MHPSS) for forcibly displaced Ukrainians in Central and Eastern Europe poses numerous challenges due to various socio-cultural and infrastructural factors. This qualitative study explored implementation barriers reported by service providers of in-person and digital MHPSS for Ukrainian refugees displaced to Poland, Romania and Slovakia due to the war. In addition, the study aimed to generate recommendations to overcome these barriers.
View Article and Find Full Text PDFImproving Antibiotic Use in Argentine Pediatric Hospitals: A Process Evaluation Using Normalization Process Theory.
Pediatr Qual Saf
January 2025
Quality, Patient Safety and Clinical Management, Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.
Introduction: In the pediatric setting, overprescribing of antibiotics contributes to the rise of multidrug-resistant organisms. Antimicrobial stewardship programs (ASPs) are recommended to optimize antibiotic use and combat resistance. However, the implementation of ASPs in low- and middle-income countries faces several challenges.
View Article and Find Full Text PDFThe aging population presents critical challenges to global healthcare systems, with Japan expected to have 35% of its population aged 65 or older by 2040. Older adults often experience multimorbidity, cognitive impairments, and physical frailties, increasing healthcare utilization and costs. Traditional medical approaches that focus on organ-specific diagnoses are insufficient for addressing these multifaceted needs.
View Article and Find Full Text PDFMachine learning and molecular docking prediction of potential inhibitors against dengue virus.
Front Chem
December 2024
African Society for Bioinformatics and Computational Biology, Cape Town, South Africa.
Introduction: Dengue Fever continues to pose a global threat due to the widespread distribution of its vector mosquitoes, and . While the WHO-approved vaccine, Dengvaxia, and antiviral treatments like Balapiravir and Celgosivir are available, challenges such as drug resistance, reduced efficacy, and high treatment costs persist. This study aims to identify novel potential inhibitors of the Dengue virus (DENV) using an integrative drug discovery approach encompassing machine learning and molecular docking techniques.
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