Role of Combined CT Pulmonary Angiography and Indirect CT Venography in Diagnosing Venous Thromboembolism in COVID-19 Patients - Experience From an Indian Quaternary Centre.

Objectives: To study the role of combined CTPA and indirect CT venogram to diagnose venous thromboembolism (VTE) in patients with COVID-19 pneumonia and to compare the clinical characteristics, laboratory parameters, CT findings and clinical outcomes between the VTE positive and negative groups.

Methods: In this retrospective study, 131 patients with COVID-19 pneumonia who underwent CTPA and venogram between August 2020 and January 2021 were included. Relevant demographical, clinical and laboratory data and CT images were collected.

Experimental infection of Enterocytozoon hepatopanaei parasite (EHP) of penaeid shrimp in Indian marine crabs.

Enterocytozoon hepatopanaei parasite (EHP) is identified as an emerging pathogenic microsporidium parasite in shrimp culture industry. Though the etiology, disease pattern and sustainability of shrimp are well known, significantly less research has been carried out about the disease transmission and symptoms of infected aquatic animals. The present study aims is to determine the disease carrier status of five different species of Indian marine crabs (Scylla olivacea, Scylla serrata, Portunus pelagicus, Ocypode quadrata and Portunus sanquinolentus) using EHP.

Reduction of multiple antibiotics from the waste water using coated glutathione S-transferase producing biocatalyst.

Oxytetracycline is widely used in veterinary and human medicine. It has been detected in wastewater from pharmaceuticals, hospitals and domestic wastewater. In recent years, much more attention has been directed towards glutathione transferases (GSTs) because of their bio-transforming ability of antibiotics.

Region of interest-based predictive algorithm for subretinal hemorrhage detection using faster R-CNN.

Macular edema (ME) is an essential sort of macular issue caused due to the storing of fluid underneath the macula. Age-related Macular Degeneration (AMD) and diabetic macular edema (DME) are the two customary visual contaminations that can lead to fragmentary or complete vision loss. This paper proposes a deep learning-based predictive algorithm that can be used to detect the presence of a Subretinal hemorrhage.