Background: Gene signatures derived from transcriptomic-causal networks offer potential for tailoring clinical care in cancer treatment by identifying predictive and prognostic biomarkers. This study aimed to uncover such signatures in metastatic colorectal cancer (CRC) patients to aid treatment decisions.
Methods: We constructed transcriptomic-causal networks and integrated gene interconnectivity into overall survival (OS) analysis to control for confounding genes.
Introduction: Holmium laser enucleation of the prostate (HoLEP) is known to have a steep learning curve. The top-down technique was introduced to lessen the number of procedures required to master HoLEP. We aimed to present the experiences of two successive clinical fellows with the top-down HoLEP learning curve and compare their performance with the supervisor.
View Article and Find Full Text PDFSince the onset of the COVID-19 pandemic, a variety of diagnostic approaches, including RT-qPCR, RAPID, and LFA, have been adopted, with RT-qPCR emerging as the gold standard. However, a significant challenge in COVID-19 diagnostics is the wide range of symptoms presented by patients, necessitating early and accurate diagnosis for effective management. Although RT-qPCR is a precise molecular technique, it is not immune to false-negative results.
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