Seroprevalence of SARS-CoV-2 IgG in blood donors in a teaching institute from Western part of Maharashtra.

Introduction: COVID-19 is a disease caused by the severe acute respiratory syndrome coronavirus 2 that has appeared as a global pandemic in recent times. Currently, the transmission rate has slowed down significantly, but the definite pathological reason behind this is still unknown. Therefore, the prevalence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody must be studied to establish the relation between the rate of transmission and antibody presence.

Development of a machine learning model to predict risk of development of COVID-19-associated mucormycosis.

The study aimed to identify quantitative parameters that increase the risk of rhino-orbito-cerebral mucormycosis, and subsequently developed a machine learning model that can anticipate susceptibility to developing this condition. Clinicopathological data from 124 patients were used to quantify their association with COVID-19-associated mucormycosis (CAM) and subsequently develop a machine learning model to predict its likelihood. Diabetes mellitus, noninvasive ventilation and hypertension were found to have statistically significant associations with radiologically confirmed CAM cases.

Rhino-orbital cerebral mycosis: a case series of non-mucorales in COVID patients.

Introduction: Rhino-Orbito-cerebral mycoses are not only caused by spp. and spp. but also can be associated with other rare species such as spp.