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http://dx.doi.org/10.1111/bjh.18059 | DOI Listing |
Surg Obes Relat Dis
December 2024
UMass Memorial Medical Center, Worcester, Massachusetts.
Hum Vaccin Immunother
December 2025
Academy of Preventive Medicine, Shandong University, Jinan, China.
Acute hepatitis E infection could induce severe outcomes among chronic hepatitis B (CHB) patients. Between 2016 and 2017, an open-label study was conducted to evaluate the immunogenicity and safety of hepatitis E vaccine (HepE) in CHB patients, using healthy adults as parallel controls in China. Eligible participants who were aged ≥30 y were enrolled in the study.
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January 2025
Department of Nutrition, Nursing School, Federal University of Minas Gerais, Alfredo Balena Avenue, 190, Room 314, Santa Efigênia, Belo Horizonte 30130-100, MG, Brazil.
This scoping review aims to understand the cell-based meat production process, including the regulations, potential hazards, and critical points of this production. This review includes studies on cultured meat production processes, health hazards, and regulatory guidelines, excluding those without hazard analysis, incomplete texts, or studies published before 2013. The search was performed in eight electronic databases (MEDLINE, Web of Science, Embase, Cochrane Library, Scopus, LILACS, and Google Scholar) using MeSH terms and adaptations for each database.
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December 2024
Institute of Marine Sciences and Technology, Dokuz Eylul University, 35340 Izmir, Türkiye.
(1) Background: Additive manufacturing (AM), which has also become known as 3D printing, is rapidly expanding its areas of use in the marine industry. This study undertakes a historical development of AM in the marine industry. The study also criticises these developments to date and the future technological applications they will lead to, while considering the benefits for the industry and its segments.
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January 2025
Center for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, USA.
Integrating prior epidemiological knowledge embedded within mechanistic models with the data-mining capabilities of artificial intelligence (AI) offers transformative potential for epidemiological modeling. While the fusion of AI and traditional mechanistic approaches is rapidly advancing, efforts remain fragmented. This scoping review provides a comprehensive overview of emerging integrated models applied across the spectrum of infectious diseases.
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