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Flexible deformation and special interface structure in nanoparticle-stabilized Pickering bubbles strengthen the immunological response as adjuvant.

J Mater Chem B

January 2025

State Key Laboratory of Biopharmaceutical Preparation and Delivery, Chinese Academy of Sciences, Beijing 100190, P. R. China.

Adjuvants can enhance an immunological response, which is an important part of vaccine research. Pickering bubbles have been a mega-hit for biomedical applications, including visualization and targeted drug delivery. However, there have been no studies on Pickering bubbles as an immunological adjuvant, and the special properties and structures of Pickering bubbles may play an important role in immunization.

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The present study was conducted to evaluate the efficacy of extract against the white spot syndrome virus (WSSV) in black tiger shrimp () following oral administration . The methanol extract derived from the extraction was sprayed into feed at a concentration of 0.0 %, 0.

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Yavar-70A, a novel water-in-oil adjuvant: A potency study in HPV-16E7d vaccine model.

Iran J Basic Med Sci

January 2025

Advanced Therapy Medicinal Product (ATMP) Department, Breast Cancer Research Center, Motamed Cancer Institute, Academic Center for Education, Culture, and Research (ACECR), Tehran, Iran.

Objectives: Adjuvants are some of the most important components used for vaccine formulation. In addition, the efficacy of vaccines is highly dependent on the nature of the adjuvants used. Therefore, new adjuvant formulations may help develop more potent vaccines.

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Background: Pompe disease is a rare genetic disorder caused by a deficiency of the enzyme acid alpha-glucosidase. This condition leads to muscle weakness, respiratory problems, and heart abnormalities in affected individuals.

Methods: The aim of the study is to share our experience through cross sectional study of patients with infantile-onset Pompe disease (IOPD) with different genetic variations, resulting in diverse clinical presentations.

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Enhancing doctor-patient communication using large language models for pathology report interpretation.

BMC Med Inform Decis Mak

January 2025

Department of Thoracic Surgery, Guizhou Provincial People's Hospital, No. 83, Zhongshan East Road, Guiyang, Guizhou, 550000, China.

Background: Large language models (LLMs) are increasingly utilized in healthcare settings. Postoperative pathology reports, which are essential for diagnosing and determining treatment strategies for surgical patients, frequently include complex data that can be challenging for patients to comprehend. This complexity can adversely affect the quality of communication between doctors and patients about their diagnosis and treatment options, potentially impacting patient outcomes such as understanding of their condition, treatment adherence, and overall satisfaction.

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