Annals of medicine
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Recently, a machine learning molecular de-extinction paleoproteomic approach was used to recover inactivated antimicrobial peptides to overcome the challenges posed by antibiotic-resistant pathogens. The authors showed the possibility of identifying lost molecules with antibacterial capacity, but the other side of the coin associated with catastrophic selection should be considered for the development of new pharmaceuticals.
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The ceRNA network, which is competitive endogenous RNA, uncovers a fresh mechanism of RNA interaction and holds significant importance in diverse biological processes. The aim of this study is to investigate the molecular process of induced membrane (IM) formation in bone defects using the Masquelet's induced membrane technique (MIMT), in order to offer novel insights and a theoretical foundation for enhancing the treatment of bone defects with MIMT. ⋯ In this study, we described the potential regulatory mechanism of the MIMT in treating bone defects. We proposed a new lncRNA-miRNA-mRNA ceRNA network that could help further explore the molecular mechanisms of bone repair.
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In the last two decades, academic medical centers in the United States have faced a new challenge, dealing with breaches of medical professionalism in their staff, house staff, and medical students. Medical education settings have largely directed their professionalism efforts toward responding reactively to negative outliers. ⋯ Professionalism programs should be vested with the authority to implement an affirmative educational program intended to nurture and promote medical professionalism in each medical student, resident, fellow, and attending and utilize methods to that end employing both virtue and care ethics.
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This study analyzes 134 invalidated traditional Chinese medicine (TCM) patents from 1984 to 2021 to explore common weaknesses and track quality progression. The findings highlight that TCM patents applied for between 2001 and 2005 face higher invalidation rates, with disputes often arising 4-7 years post-application. ⋯ Additionally, citing more references positively impacts patent stability. Despite progress, TCM patents still encounter significant challenges in quality and consistency.
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Tick-borne pathogens pose a major threat to human health worldwide. Understanding the epidemiology of tick-borne diseases to reduce their impact on human health requires models covering large geographic areas and considering both the abiotic traits that affect tick presence, as well as the vertebrates used as hosts, vegetation, and land use. Herein, we integrated the public information available for Europe regarding the variables that may affect habitat suitability for ticks and hosts and tested five machine learning algorithms (MLA) for predicting the distribution of four prominent tick species across Europe. ⋯ Flexible MLA-driven models may offer several advantages over traditional models. We anticipate that these results may be extrapolated to other regions and combinations of tick-vertebrates. These results highlight the potential of MLA for inference in ecology and provide a background for the evolution of a completely automatized tool to calculate the seasonality of ticks for early warning systems aimed at preventing tick-borne diseases.