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Background: The global aging population and rapid development of digital technology have made health management among older adults an urgent public health issue. The complexity of online health information often leads to psychological challenges, such as cyberchondria, exacerbating health information avoidance behaviors. These behaviors hinder effective health management; yet, little research examines their mechanisms or intervention strategies.

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Background: Health authorities worldwide have invested in digital technologies to establish robust information exchange systems for improving the safety and efficiency of medication management. Nevertheless, inaccurate medication lists and information gaps are common, particularly during care transitions, leading to avoidable harm, inefficiencies, and increased costs. Besides fragmented health care processes, the inconsistent incorporation of patient-driven changes contributes to these problems.

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Purpose: Diabetes prevalence is increasing among older adults globally. The current study aimed to compare geriatric syndrome prevalence in older adults with and without diabetes.

Method: Primary research (2011 to 2024) in English, French, or Spanish was included.

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Boosting Natural Killer Cells' Immunotherapy with Amoxicillin-Loaded Liposomes.

Mol Pharm

January 2025

State Key Laboratory for Organic Electronics and Information Displays & Jiangsu Key Laboratory for Biosensors, Institute of Advanced Materials (IAM), Nanjing University of Posts & Telecommunications, Nanjing 210023, China.

Natural killer (NK) cell immunotherapy is a significant category in tumor therapy due to its potent tumor-killing and immunomodulatory effects. This research delves into exploring the mechanisms underlying the ability of amoxicillin to boost NK cell cytotoxicity in NK cell immunotherapy. Amoxicillin significantly enhances the cytotoxic activity of NK-92MI cells against MCF-7 cells by triggering the initiation of a cytolytic program in target cell-deficient NK-92MI cells and augmenting the degranulation level of NK-92MI cells in the presence of target cells.

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Identification of potential drug-target interactions (DTIs) is a crucial step in drug discovery and repurposing. Although deep learning effectively deciphers DTIs, most deep learning-based methods represent drug features from only a single perspective. Moreover, the fusion method of drug and protein features needs further refinement.

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