ABSTRACT
Coronavirus disease 2019 (Covid-19) is highly contagious with limited treatment options. Early and accurate diagnosis of Covid-19 is crucial in reducing the spread of the disease and its accompanied mortality. Currently, detection by reverse transcriptase-polymerase chain reaction (RT-PCR) is the gold standard of outpatient and inpatient detection of Covid-19. RT-PCR is a rapid method; however, its accuracy in detection is only ~70-75%. Another approved strategy is computed tomography (CT) imaging. CT imaging has a much higher sensitivity of ~80-98%, but similar accuracy of 70%. To enhance the accuracy of CT imaging detection, we developed an open-source framework, CovidCTNet, composed of a set of deep learning algorithms that accurately differentiates Covid-19 from community-acquired pneumonia (CAP) and other lung diseases. CovidCTNet increases the accuracy of CT imaging detection to 95% compared to radiologists (70%). CovidCTNet is designed to work with heterogeneous and small sample sizes independent of the CT imaging hardware. To facilitate the detection of Covid-19 globally and assist radiologists and physicians in the screening process, we are releasing all algorithms and model parameter details as open-source. Open-source sharing of CovidCTNet enables developers to rapidly improve and optimize services while preserving user privacy and data ownership.
ABSTRACT
Flexibility in the exchange of genetic material takes place between different organisms of the same or different species. This phenomenon is known to play a key role in the genetic, physiological, and ecological performance of the host. Exchange of genetic materials can cause both beneficial and/or adverse biological consequences. Horizontal gene transfer (HGT) or lateral gene transfer (LGT) as a general mechanism leads to biodiversity and biological innovations in nature. HGT mediators are one of the genetic engineering tools used for selective introduction of desired changes in the genome for gene/cell therapy purposes. HGT, however, is crucial in development, emergence, and recurrence of various human-related diseases, such as cancer, genetic-, metabolic-, and neurodegenerative disorders and can negatively affect the therapeutic outcome by promoting resistant forms or disrupting the performance of genome editing toolkits. Because of the importance of HGT and its vital physio- and pathological roles, here the variety of HGT mechanisms are reviewed, ranging from extracellular vesicles (EVs) and nanotubes in prokaryotes to cell-free DNA and apoptotic bodies in eukaryotes. Next, we argue that HGT plays a role both in the development of useful features and in pathological states associated with emerging and recurrent forms of the disease. A better understanding of the different HGT mediators and their genome-altering effects/potentials may pave the way for the development of more effective therapeutic and diagnostic regimes.
ABSTRACT
INTRODUCTION: In this study, we assess the effectiveness of a conservative therapeutic treatment of acute corrosive poisonings in adults, and we define therapeutic protocols based on clinical and endoscopic criteria. METHODS: We analyzed clinical records of patients with acute corrosive poisonings who were hospitalized and treated at the Toxicology Clinic at the University of Skopje, Republic of Macedonia, during a 5-year period (2006-2010). A total of 481 patients' records with cases of acute corrosive poisonings were analyzed. There were 317 female (65.9 %) and 164 male (34.1 %) patients. The purpose of the therapy in the cases of acute corrosive poisonings is to prevent perforation as well as progressive fibrosis and stenosis of the esophagus and stomach. Therapeutic approach mainly consists of proton pump inhibitors, H(2) blockers, antibiotics, and intensive hyperalimentation. There are different opinions regarding conservative treatment of acute corrosive poisonings in adults. CONCLUSION: Based on our study of corrosive poisonings of adults, we propose a list of optimal treatment recommendations.
