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http://dx.doi.org/10.1177/1040638719846879 | DOI Listing |
Background: Mental health remains among the top 10 leading causes of disease burden globally, and there is a significant treatment gap due to limited resources, stigma, limited accessibility, and low perceived need for treatment. Problem Management Plus, a World Health Organization-endorsed brief psychological intervention for mental health disorders, has been shown to be effective and cost-effective in various countries globally but faces implementation challenges, such as quality control in training, supervision, and delivery. While digital technologies to foster mental health care have the potential to close treatment gaps and address the issues of quality control, their development requires context-specific, interdisciplinary, and participatory approaches to enhance impact and acceptance.
View Article and Find Full Text PDFInterdiscip Sci
January 2025
School of Computer Science, Qufu Normal University, Rizhao, 276826, China.
Combination therapy, which synergistically enhances treatment efficacy and inhibits disease progression through the combined effects of multiple drugs, has emerged as a mainstream approach for treating complex diseases and alleviating symptoms. However, drug-drug interactions (DDIs) can sometimes lead to adverse reactions, potentially endangering lives. Therefore, developing efficient and accurate DDI prediction methods is crucial for elucidating drug mechanisms and preventing side effects.
View Article and Find Full Text PDFEnviron Toxicol Chem
January 2025
Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Laboratoire d'Ecologie et d'Ecotoxicologie des Radionucléides, Cadarache, 13115 France Saint Paul-Lez-Durance.
Environmental pollution associated with long term effects, especially in the case of ionizing radiation, poses significant risks to wildlife, necessitating a more nuanced approach to Ecological Risk Assessment (ERA). In radioecology, current methods, as outlined by the International Commission on Radiological Protection (ICRP), focus primarily on exposure and individual/population-level effects, often both suffering a lack of ecological realism due to the nature of data used, and, sidelining a big amount of critical non-individual effects such as sub-individual one like genotoxicity. This review aims to address these gaps by suggesting the integration of New Approach Methods (NAMs) and the Adverse Outcome Pathway (AOP) framework in the field of radioecology.
View Article and Find Full Text PDFRadiology
January 2025
From the Department of Radiology (J.H.L.) and Department of Thoracic and Cardiovascular Surgery (J.L., Y.J.J., S.Y.P., J.H.C., Y.S.C., J.K., Y.M.S., H.K.K.), Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea; Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, 115 Irwon-ro, Gangnam-gu, Seoul 06355, Korea (D.K., J.L., S.Y.P., S.K., J.C.); Center for Clinical Epidemiology, Sungkyunkwan University, Samsung Medical Center, Seoul, Korea (D.K., J.C.); Patient-Centered Outcomes Research Institute, Samsung Medical Center, Seoul, Korea (J.L., Y.M.S., S.K., H.K.K., J.C.); and Department of Epidemiology and Medicine, Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Md (J.C.).
Background A comprehensive assessment of skeletal muscle health is crucial to understanding the association between improved clinical outcomes and obesity as defined by body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) in lung cancer, but limited studies have been conducted on this topic. Purpose To investigate the association between BMI-defined obesity and survival in patients with non-small cell lung cancer who underwent curative resection, with a specific focus on the status of skeletal muscle assessed at CT. Materials and Methods This retrospective study investigated Korean patients with non-small cell lung cancer who underwent curative resection between January 2008 and December 2019.
View Article and Find Full Text PDFJ Manag Care Spec Pharm
January 2025
Academy of Managed Care Pharmacy Foundation, Alexandria, VA.
Background: Over the past 5 years, managed care pharmacy has been shaped by a global pandemic, advancements in generative artificial intelligence (AI), Medicare drug price negotiation policies, and significant therapeutic developments. Collective intelligence methods can be used to anticipate future developments in practice to help organizations plan and develop new strategies around those changes.
Objective: To identify emerging trends in managed care pharmacy.
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