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Biomedical datasets are the mainstays of computational biology and health informatics projects, and can be found on multiple data platforms online or obtained from wet-lab biologists and physicians. The quality and the trustworthiness of these datasets, however, can sometimes be poor, producing bad results in turn, which can harm patients and data subjects. To address this problem, policy-makers, researchers, and consortia have proposed diverse regulations, guidelines, and scores to assess the quality and increase the reliability of datasets.

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Background: TP53 variant classification benefits from the availability of large-scale functional data for missense variants generated using cDNA-based assays. However, absence of comprehensive splicing assay data for TP53 confounds the classification of the subset of predicted missense and synonymous variants that are also predicted to alter splicing. Our study aimed to generate and apply splicing assay data for a prioritised group of 59 TP53 predicted missense or synonymous variants that are also predicted to affect splicing by either SpliceAI or MaxEntScan.

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Background: Oral infectious diseases, such as dental caries, periodontitis and periapical periodontitis, are often complicated by causative bacterial biofilm formation and significantly impact human oral health and quality of life. Bacteriophage (phage) therapy has emerged as a potential alternative with successful applications in antimicrobial trials. While therapeutic use of phages has been considered as effective treatment of some infectious diseases, related research focusing on oral infectious diseases is few and lacks attention.

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Background: The prevalence and chronic nature of Inflammatory Bowel Diseases (IBD) is a significant global concern. As the essential part of treatments approach, patient adherence to treatment protocols and self-management practices are crucial to = IBD management. Healthcare initiatives focused on chronic conditions are strongly needed to consider various aspects of gamification and how it can positively affect self-management.

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Application of low-intensity anticoagulation after On-X mechanical aortic valve replacement.

J Cardiothorac Surg

January 2025

Cardiac Surgery Center, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Affiliated Hospital of University of Electronic Science and Technology, Chengdu, Sichuan Province, 610072, China.

Objective: To explore the safety and efficacy of low-intensity anticoagulation in patients after On-X mechanical aortic valve replacement.

Methods: A total of 104 patients undergoing aortic valve replacement in Cardiac Surgery Department of Sichuan Provincial People's Hospital from December 2018 to December 2021 were randomly divided into low-intensity anticoagulant (INR:1.5-2.

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