Introduction: The covid-19 pandemic has meant a change in working protocols, as well as in Personal Protective Equipment (PPE). Obstetricians have had to adapt quickly to these changes without knowing how they affected their clinical practice. The aim of the present study was to evaluate how COVID-19 pandemic and PPE can affect operative time, operating room time, transfer into the operating room to delivery time and skin incision to delivery time in cesarean section.
Methods: This is a single-center retrospective cohort study. Women with confirmed or suspected SARS-CoV-2 infection having a cesarean section after March 7th, 2020 during the COVID-19 pandemic were included in the study. For each woman with confirmed or suspected SARS-CoV-2 infection, a woman who had a cesarean section for the same indication during the COVID-19 pandemic and with similar clinical history but not affected by SARS-CoV-2 was included.
Results: 42 cesarean sections were studied. The operating room time was longer in the COVID-19 confirmed or suspected women: 90 (73.0 to 110.0) versus 61 (48.0 to 70.5) minutes; < .001. The transfer into the operating room to delivery time was longer, but not statistically significant, in urgent cesarean sections in COVID-19 confirmed or suspected women: 25.5 (17.5 to 31.75) versus 18.0 (10.0 to 26.25) minutes; = .113.
Conclusions: There were no significant differences in the operative time, transfer into the operating room to delivery time and skin incision to delivery time when wearing PPE in cesarean section. The COVID-19 pandemic and the use of PPE resulted in a significant increase in operating room time.
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http://dx.doi.org/10.1080/14767058.2020.1793324 | DOI Listing |
Proc Natl Acad Sci U S A
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Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.
Protein language models (PLMs) have demonstrated impressive success in modeling proteins. However, general-purpose "foundational" PLMs have limited performance in modeling antibodies due to the latter's hypervariable regions, which do not conform to the evolutionary conservation principles that such models rely on. In this study, we propose a transfer learning framework called Antibody Mutagenesis-Augmented Processing (AbMAP), which fine-tunes foundational models for antibody-sequence inputs by supervising on antibody structure and binding specificity examples.
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UK Health Security Agency, London, United Kingdom.
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NOVA Medical School|Faculdade de Ciências Médicas, NMS|FCM, Universidade NOVA de Lisboa, Lisbon 1169-056, Portugal.
The "" under this Perspective underline the importance of interdisciplinary collaboration and partnerships across several disciplines, such as medical science and technology, medicine, bioengineering, and computational approaches, in bridging the gap between research, manufacturing, and clinical applications. Effective communication is key to bridging team gaps, enhancing trust, and resolving conflicts, thereby fostering teamwork and individual growth toward shared goals. Drawing from the success of the COVID-19 vaccine development, we advocate the application of similar collaborative models in other complex health areas such as nanomedicine and biomedical engineering.
View Article and Find Full Text PDFPLoS One
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School of Business, Anyang Normal University, Anyang, China.
The process of regional economic development is marked by a sustained exposure to external disturbances. In today's unpredictable and tumultuous global environment, such disturbances have become increasingly common, underlining the need to advance a region's economic resilience and foster adaptive mechanisms to handle environmental flux. Comparing the typical provinces in eastern, central, western and northeastern regions during the COVID-19 epidemic period, it found that the economic resilience performance of Henan Province, which is a representative of the central region, has the following characteristics.
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