Articles: ninos.
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J Coll Physicians Surg Pak · Jan 2021
Online Medical Education and Examinations during COVID-19: Perspectives of a Teaching Associate.
The novel coronavirus disease 2019 (COVID-19) pandemic has not only challenged global health systems but also social, economic, and educational systems. In this short communication, our focus is on its impact on medical education in Pakistan. ⋯ We describe our role as teaching associates (TAs) at the Aga Khan University (AKU); and how it has enabled us to be a part of the transition to online medical education, with a specific focus on online examinations in medical schools. Key Words: Medical education, Online examinations, COVID-19, Pandemic.
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J Coll Physicians Surg Pak · Jan 2021
Health Systems Approach to Ensure Quality and Safety Amid COVID-19 Pandemic in Pakistan.
Ensuring quality and safe care during the coronavirus disease 2019 (COVID-19) pandemic offers a challenge to already strained health systems in low and middle-income countries (LMICs), such as Pakistan with less shock-absorbing capacities. There is a dearth of evidence on mechanisms to provide optimum quality care to COVID-19 patients in the resource-constrained healthcare environment. ⋯ Research evidence is needed to be better prepared for an effective and coordinated health systems response to offer quality and safe care to patients. Key Words: Health systems approach, COVID-19 pandemic, Quality of healthcare, Safe care.
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Malignant melanoma (MM) is an invasive tumor that poses a threat to patient health. Circular RNAs (circRNAs) are important regulators of MM carcinogenesis. In this study, we investigated the expression characteristics and biological functions of, and mechanism underlying, circ_0119872 expression in MM. ⋯ Circ_0119872 is an oncogenic circRNA that participates in the promotion of MM progression by regulating the miR-582-3p/E2F3 axis.
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This study aims to evaluate the ability of deep learning algorithms to detect and grade prostate cancer (PCa) in radical prostatectomy specimens. ⋯ Deep learning algorithms have a high potential for use in the diagnosis and grading of PCa. Scanning methods are likely to be superior to simple classification methods.