ANFIS for prediction of epidemic peak and infected cases for COVID-19 in India.

Corona Virus Disease 2019 (COVID-19) is a continuing extensive incident globally affecting several million people's health and sometimes leading to death. The outbreak prediction and making cautious steps is the only way to prevent the spread of COVID-19. This paper presents an Adaptive Neuro-fuzzy Inference System (ANFIS)-based machine learning technique to predict the possible outbreak in India.

Universal Screening for SARS-CoV-2 in Asymptomatic Pregnant Women: A Multi-center Experience.

Background: Novel coronavirus (SARS-CoV-2) is responsible for the current global pandemic and understandably, Obstetrics is not spared. Private maternity hospitals have a unique challenge of reassuring unaffected patients of uneventful delivery with the lowest possible rate of coronavirus infection while consequently offering compassionate and state of art services to women who turn out to be positive for SARS-CoV-2. This has led to a routine SARS-CoV-2 testing of all patients before admission in many of the private hospitals in India.

Effect of Cassia auriculata leaf extract on lipids in rats with alcoholic liver injury.

We studied the effect of administering Cassia auriculata leaf extract to rats with experimentally induced liver damage. Hepatotoxicity was induced by administering 9.875 g/kg bodyweight ethanol for 30 days by intragastric intubation.