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http://dx.doi.org/10.1007/s00216-023-04661-3 | DOI Listing |
Biochem Mol Biol Educ
January 2025
College of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, China.
The knowledge of "clinical molecular biology testing technology" is complex, conceptual expressions are abstract and difficult to understand, and the student's interest in learning is low. This study aimed to evaluate the effectiveness of a cyclic teaching method based on case analysis combined with an exploratory teaching method using mind mapping as an assignment. Students from the 2019 cohort of medical laboratory technology at Hunan University of Chinese Medicine served as the control group and received conventional lecture-based teaching methods.
View Article and Find Full Text PDFEClinicalMedicine
August 2024
Division of Cancer Prevention and Population Sciences, Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Background: Lung cancer screening recommendations employ annual frequency for eligible individuals, despite evidence that it may not be universally optimal. The impact of imposing a structure on the screening frequency remains unknown. The ENGAGE framework, a validated framework that offers fully dynamic, analytically optimal, personalised lung cancer screening recommendations, could be used to assess the impact of screening structure on the effectiveness and efficiency of lung cancer screening.
View Article and Find Full Text PDFEClinicalMedicine
September 2024
Department of Epidemiology and Population Health, American University of Beirut, Beirut, Lebanon.
Background: Syphilis is a sexually transmitted infection (STI) that can be prevented and effectively treated; yet it continues to be a cause of morbidity and mortality worldwide. There is a limited understanding of the epidemiology of syphilis in the Middle East and North Africa (MENA) region.
Methods: A systematic review conducted up to April 30, 2024 assessed the prevalence of syphilis and followed PRISMA guidelines, without language and date restrictions.
Health Sci Rep
January 2025
Department of Microbiology Dr D. Y. Patil Medical College, Hospital and Research Centre, Dr D. Y. Patil Vidyapeeth (Deemed-to-be-University) Pune Maharashtra India.
Background And Aims: Artificial Intelligence (AI) beginning to integrate in healthcare, is ushering in a transformative era, impacting diagnostics, altering personalized treatment, and significantly improving operational efficiency. The study aims to describe AI in healthcare, including important technologies like robotics, machine learning (ML), deep learning (DL), and natural language processing (NLP), and to investigate how these technologies are used in patient interaction, predictive analytics, and remote monitoring. The goal of this review is to present a thorough analysis of AI's effects on healthcare while providing stakeholders with a road map for navigating this changing environment.
View Article and Find Full Text PDFJMIR Dermatol
January 2025
Division of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, United States.
Background: Online digital materials are integral to patient education and health care outcomes in dermatology. Acanthosis nigricans (AN) is a common condition, often associated with underlying diseases such as insulin resistance. Patients frequently search the internet for information related to this cutaneous finding.
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