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Dr. Xiufeng Ye and Dr. Guangfu Chen are both co-corresponding authors. Accordingly, please make the following two corrections to the paper 1) Add * to the author Xiufeng Ye. 2) *Address correspondence to Dr. Chen guangfu, szchengf@email.szu.edu.cn or Dr. Xiufeng Ye, szrosexiu@ 126.com, Shenzhen Second People's Hospital, 3002, Sungang West Road, Shenzhen 518035, China.COVID-19 is an emerging outbreak similar to previous pandemics caused by Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS). TP-0184 Till date, SARS-CoV-2 infection is still spreading, representing a major threat to public health, where several control measures are being practiced in order to culminate its spread. The research and development of new drugs require a lot of funding in addition to being a slow and costly process. As a result, new techniques have been proposed to streamline this process. The repositioning or repurposing of drugs represents an attractive strategy, presenting a promising way to introduce new drugs. Currently, numerous reused drugs are already available in the market and are in practice. In this review, it was observed that the antiviral drugs Entricitabine and Tenofovir display potential therapeutic efficacy in preclinical studies. Therefore, in silico analyses were considered a potential tool for predicting the effectiveness of drugs, mainly as an effective approach to encourage a complementary in vitro and in vivo antiviral evaluation.Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection has been a global challenge. The complicated forms of the Coronavirus Disease 2019 (COVID-19) can evolve to multiple-organ failure, including several coagulopathies related to a sudden worsening of respiratory status. This article aimed to review studies about hematological and hemostatic laboratory disorders directly related to COVID-19 and to discuss how SARS-CoV-2 causes these abnormalities. The coagulation cascade model is associated with both COVID-19 and pulmonary involvement. Laboratory changes are relevant to evaluate the coagulation state - D-dimer, prothrombin time (PT), Activated Partial Thromboplastin Time (APTT), platelet count and fibrinogen. Pregnants and patients in Extracorporeal Membrane Oxygenation (ECMO) need special attention. Prophylactic interventions for COVID-19 coagulopathy should consider patients at risk for thrombotic events and potential contraindications. The mechanisms exerted by SARS-CoV-2 that impairs hemostatic balance include endothelial injury, inflammation, activation of the immune and complement systems. For diagnosis of coagulopathy, mainly Ddimer, but also PT, APTT and FDP, should be evaluated in COVID-19 patients. Intervention possibilities vary between lowmolecular-weight heparin (LMWH) and Unfractionated Heparin (UFH). Up to now, there is sufficient evidence that acutelyill patients with risk factors for coagulopathies will benefit from thrombophylaxis during hospitalization and post-discharge, but not all patients.In recent years, due to the shortcomings of conventional chemotherapy, such as poor bioavailability, low treatment index and unclear side effects, the focus of cancer research has shifted to new nanocarriers of chemotherapeutic drugs. By using biodegradable materials, nanocarriers generally have the advantages of good biocompatibility, low side effects, targeting, controlled release profile, and improved efficacy. And more to the point, nanocarrier based anti-cancer drug delivery systems clearly show the potential to overcome the problems associated with conventional chemotherapy. In order to promote the deepening of research and development in this field, we herein summarized and analyzed various nanocarrier based drug delivery systems for cancer therapy, including the concepts, types, characteristics and preparation methods. The active and passive targeting mechanisms of cancer therapy were also included, along with a brief introduction of the research progress of nanocarriers used for anti-cancer drug delivery in the past decade.To explore the value of contrast-enhanced ultrasound (CEUS) in the differential diagnosis of molecular subtypes of breast cancer. Sixty-two cases of breast cancer were divided into luminal epithelium A or B subtype (luminal A/B), Her-2 over-expression subtype and triple negative subtype (TN). CEUS and routine ultrasonography were performed for all patients before surgery. (1) The luminal epithelium subtype contrast enhancement pattern was more likely to present with radial edge (76.92%, p 0.05). (4) Our study showed that the areas under the ROC curve for radial edge, low perfusion and IMAX for the luminal epithelium subtype breast lesions were 76.5%, 75.6%, and 82.1%, respectively. Additionally, the areas under the ROC curve for centripetal enhancement, perfusion defect and TTP for the Her-2 over-expression subtype breast lesions were 68.6%, 92.4%, and 97.8%, respectively. The sensitivity, specificity, and diagnostic accuracy of clear boundaries in detecting triple negative subtype breast lesions were 90.5%, 80.0%, and 91.9%, respectively.Ultrasound images, having low contrast and noise, adversely impact in the detection of abnormalities. In view of this, an enhancement method is proposed in this work to reduce noise and improve contrast of ultrasound images. The proposed method is based on scaling with neutrosophic similarity score (NSS), where an image is represented in the neutrosophic domain through three membership subsets T, I, and F denoting the degree of truth, indeterminacy, and falseness, respectively. The NSS measures the belonging degree of pixel to the texture using multi-criteria that is based on intensity, local mean intensity and edge detection. Then, NSS is utilized to extract the enhanced coefficient and this enhanced coefficient is applied to scale the input image. This scaling reflects contrast improvement and denoising effect on ultrasound images. The performance of proposed enhancement method is evaluated on clinical ultrasound images, using both subjective and objective image quality measures. In subjective evaluation, with proposed method, overall best score of 4.

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