Combining the Variational and Deep Learning Techniques for Classification of Video Capsule Endoscopic Images.

Gastrointestinal tract-related cancers pose a significant health burden, with high mortality rates. In order to detect the anomalies of the gastrointestinal tract that may progress to cancer, a video capsule endoscopy procedure is employed. The number of video capsule endoscopic ( ) images produced per examination is enormous, which necessitates hours of analysis by clinicians.

Clinical Profile of Mucormycosis Patients during Coronavirus Disease 2019 Pandemic: A Retrospective Observational Study.

Background: During the coronavirus disease (COVID-19) pandemic, an increased incidence of mucormycosis infection was noted globally, the majority being from India. We aimed to study the clinical profile of the mucormycosis patients during the COVID-19 pandemic admitted at tertiary care centers.

Materials And Methods: This is a retrospective record-based observation study conducted at Gandhi Medical College, Bhopal.