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| http://dx.doi.org/10.1007/s40737-023-00334-7 | DOI Listing |
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SNX30 inhibits lung adenocarcinoma cell proliferation and induces cell ferroptosis through regulating SETDB1.
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Department of Respiratory and Critical Care Medicine, Datian County General Hospital, 180 Xueshan North Road, Datian County, 366100, China.
Background: Lung adenocarcinoma is the most common form of lung cancer and one of the most life-threatening malignant tumors. Ferroptosis is an iron-dependent regulatory cell death pathway that is crucial for tumor growth. SNX30 is a key regulatory factor in cardiac development; however, its regulatory mechanism and role in inducing ferroptosis in lung adenocarcinoma remain unclear.
View Article and Find Full Text PDFCharting the path to the implementation of universal health coverage policy in Nigeria through the lens of Delphi methodology.
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Society for Family Health, Abuja, Nigeria.
Background: Expanding access to equitable health insurance is an important lever towards the overall strategy for achieving universal health coverage. In Nigeria, health insurance coverage is low with a renewed government action on increasing access to and coverage of high-quality healthcare services to citizens, particularly for the vulnerable and poor population. Therefore, our study co-creates the priorities for expanding health insurance in Nigeria, focusing on key policy reforms, public advocacy, and innovative financing strategies to ensure broader and more equitable coverage for the population.
View Article and Find Full Text PDFEffect of different protocols in preventing demineralization in irradiated human enamel, in vitro study.
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Department of Operative Dentistry, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
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The newborn behavioural observations (NBO) system embedded in routine postpartum care in at-risk families in Iceland: a randomised controlled trial.
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Psychiatric team for prospecting parents and parents with young children, Primary health care in capital area, Reykjavik, Iceland.
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The TRIPOD-LLM reporting guideline for studies using large language models.
Nat Med
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Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA.
Large language models (LLMs) are rapidly being adopted in healthcare, necessitating standardized reporting guidelines. We present transparent reporting of a multivariable model for individual prognosis or diagnosis (TRIPOD)-LLM, an extension of the TRIPOD + artificial intelligence statement, addressing the unique challenges of LLMs in biomedical applications. TRIPOD-LLM provides a comprehensive checklist of 19 main items and 50 subitems, covering key aspects from title to discussion.
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