Brain connectivity analysis based classification of obstructive sleep apnea using electroencephalogram signals.

Obstructive sleep apnea (OSA) is a disorder which blocks the upper airway during sleep. The severity of OSA will lead heart attack, stroke and end of life. This proposed study explored the classification of OSA and healthy subjects using brain connectivity analysis from electroencephalogram (EEG) signals.

Social distance monitoring system using deep learning and entry control system for commercial application.

For the last few months, the world has been under an astringent lockdown due to COVID-19. The number of COVID-19 cases is incrementing steadily. Even though scientists have found a vaccine for the obviation of the virus, the threat of being affected is high when we head out.

An SVM approach towards breast cancer classification from H&E-stained histopathology images based on integrated features.

Breast cancer is one among the most frequent reasons of women's death worldwide. Nowadays, healthcare informatics is mainly focussing on the classification of breast cancer images, due to the lethal nature of this cancer. There are chances of inter- and intra-observer variability that may lead to misdiagnosis in the detection of cancer.

A novel GPR40 agonist, CNX-011-67, suppresses glucagon secretion in pancreatic islets under chronic glucolipotoxic conditions in vitro.

Background: Elevated glucose concentrations lead to increased insulin secretion and suppression of glucagon secretion. In fact, insulin is a physiological inhibitor of glucagon secretion. Type 2 diabetes mellitus (T2DM) patients have defects in insulin secretion.