Arch Med Sci
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Coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), declared a global pandemic by the World Health Organization (WHO). The three key principles in management of the COVID-19 pandemic are prevention, early detection and targeted treatment. Vaccine-based prevention together with early detection has already proven its efficacy in controlling the pandemic. ⋯ Nanoparticles hold great promise with respect to these aspects. They may also be the solution to emerging clinical problems such as reinfection, pregnancy-related COVID-19 and coinfection. Here, we aim to discuss the potential applications of nanoparticles to combat the COVID-19 pandemic.
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Although breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is infrequent, with less than 1000 noted cases worldwide, patients consenting for breast implant surgery should be aware of its risk. We describe the first Polish multicenter case-series data on BIA-ALCL patients and present diagnostic and treatment recommendation for breast surgeons. ⋯ BIA-ALCL is scarce in the Polish population. In a short-term follow-up, patients' prognosis remains excellent. Due to the withdrawal of roughly textured implants from the market and the exclusion of likely the most potent etiologic factor, it might be expected that the incidence of BIA-ALCL will become even rarer.
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This study explored the application of bacterial artificial chromosomes (BACs)-on-Beads (BoBs) technique, especially its ability to detect microdeletion/microduplication regions with a single probe. ⋯ We believe that the microdeletion/microduplication results detected by BoBs technique with a single probe provide comprehensive guidance for prenatal diagnosis.
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Colorectal cancer (CRC) is the third most common cancer. Precise prediction of CRC patients' overall survival (OS) probability could offer advice on its treatment. Neural network (NN) is the first-class algorithm, but a consensus on which NN survival models are better has not been established yet. A predictive model on CRC using Asian data is also lacking. ⋯ The deep learning survival model for CRC patients (DeepCRC) could predict CRC's OS accurately.
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Increased natural killer cell activity (NKCA) is linked to reduced risk of colorectal cancer (CRC). Several prior studies have investigated the association of NKCA and the incidence of CRC in high-risk subjects. The aim of our study was to investigate NKCA sensitivity in diagnosing advanced neoplasia (AN) and CRC in an average risk population. ⋯ A high NKCA level has potential ability to rule out CRC and AN in an average risk population.