Thorough drying of flexible endoscope channels has been identified as an essential reprocessing step. Yet, instructions are not specific on how to dry endoscopes. There is lack of data supporting efficacy of current drying practices, due to limitations in determining channel dryness. Novel endoscope test articles were used to evaluate the effectiveness of alcohol flush and hanging in an ambient endoscope storage cabinet. Prepared test articles were hung in a storage cabinet for 5 days and visually inspected for residual liquid. The procedure for preoperative inspection of endoscopic systems was performed to determine the procedure's efficacy for removing residual liquid. Then, testing was performed to assess the impact of pressure, residual liquid type and route of air application on time to dry using compressed air. Alcohol flush followed by hanging in an ambient storage cabinet was not effective for drying endoscope channels, and residual liquid was not completely removed after performing the steps of the preoperative inspection of endoscopic channels. The factors impacting effective compressed air drying were channel dependent. For some channels, alcohol increased the time to dry. Endoscope drying is complex; borescope evaluation does not ensure a dry device.Endoscope drying is complex; borescope evaluation does not ensure a dry device. Isolation and quarantine are key measures in outbreak management and disease control. They are, however, associated with negative patient experiences and outcomes, including an adverse impact on mental health and lower quality of care due to limited interaction with healthcare workers. In this study, we explore the lived experience and perceptions of patients in isolation with COVID-19 in an Australian healthcare setting. Using a phenomenological approach from a Heideggerian hermeneutical perspective, we conducted individual semistructured interviews with the first 11 COVID-19 patients admitted to a designated COVID-19 facility in Australia. Interviews were audiorecorded, transcribed verbatim, and imported into NVivo 12 for coding and analysis. Participants' lived experience and perceptions of COVID-19 were represented by 5 themes "Knowing about COVID-19," "Planning for, and responding to, COVID-19," "Being infected," "Life in isolation and the room," and "Post-discharge life." Within these, participants conveyed both positive and negative lived experiences of infection, isolation, and illness. The contextual aspects of their social and physical environment together with their individual resources contributed to the framing of their planning for, and response to, the outbreak, and were important mediators in their experience. Findings from this study provide a valuable insight into the lived experiences of patients with COVID-19, which reflect those of patients with other infectious diseases who require isolation.Findings from this study provide a valuable insight into the lived experiences of patients with COVID-19, which reflect those of patients with other infectious diseases who require isolation.We describe our experience in the remote management of women with gestational diabetes mellitus during the COVID-19 pandemic. We used a mobile phone application with artificial intelligence that automatically classifies and analyses the data (ketonuria, diet transgressions, and blood glucose values), making adjustment recommendations regarding the diet or insulin treatment. Current prediction models for advanced age-related macular degeneration (AMD) are based on a restrictive set of risk factors. The objective of this study was to develop a comprehensive prediction model applying a machine learning algorithm allowing selection of the most predictive risk factors automatically. Two population-based cohort studies. The Rotterdam Study I (RS-I; training set) included 3838 participants 55 years of age or older, with a median follow-up period of 10.8 years, and 108 incident cases of advanced AMD. The Antioxydants, Lipids Essentiels, Nutrition et Maladies Oculaires (ALIENOR) study (test set) included 362 participants 73 years of age or older, with a median follow-up period of 6.5 years, and 33 incident cases of advanced AMD. The prediction model used the bootstrap least absolute shrinkage and selection operator (LASSO) method for survival analysis to select the best predictors of incident advanced AMD in the training set. Predictive performance of the model was assessed usingng the way toward making precision medicine for AMD patients a reality in the near future.This prediction model reached high discrimination abilities, paving the way toward making precision medicine for AMD patients a reality in the near future.The speed at which the COVID-19 pandemic spread across the globe and the accompanying need to rapidly disseminate knowledge have highlighted the inadequacies of the traditional research/publication cycle, particularly the slowness and the fragmentary access globally to manuscripts and their findings. Scholarly communication has slowly been undergoing transformational changes since the introduction of the Internet in the 1990s. The pandemic response has created an urgency that has accelerated these trends in some areas. The magnitude of the global emergency has strongly bolstered calls to make the entire research and publishing lifecycle transparent and open. The global scientific community has collaborated in rapid, open, and transparent means that are unprecedented. The general public has been reminded of the important of science, and trusted communication of scientific findings, in everyday life. In addition to COVID-19-driven innovation in scholarly communication, alternative bibliometrics and artificial intelligence tools will further transform academic publishing in the near future. We evaluated the impact of a virtual radiation oncology clerkship. We developed a 2-week virtual radiation oncology clerkship that launched on April 27, 2020. Clerkship components included a virtual clinic with radiation oncology faculty and residents, didactic lectures, student talks, and supplemental sessions such as tumor boards and chart rounds. Medical students completed pre- and post-clerkship self-assessments. Faculty and resident participants also completed surveys on their experience with virtual lectures and clinics. Pre- and post-clerkship results were compared using a 2-sided paired t test. An analysis of variance model was used to analyze the clerkship components. Twenty-six medical students, including 4 visiting students, enrolled over 2 clerkship periods (4 weeks). All students completed the pre- and post-clerkship self-assessments and agreed that the clerkship improved their understanding of radiation oncology. Sodium oxamate chemical structure Compared with 3 (11.5%) students who agreed that they understood the daily responsibilities of a radiation oncologist before the clerkship, 22 (84.