Effectiveness of communication in promoting utilisation of breast cancer screening services among women working in Anganwadi centres.

Background: Breast cancer is the most common cancer among females, worldwide. Cancer screening in developing countries is mainly opportunistic type, characterized by low coverage and over-screening of women with increased access to health care services. This study was thus designed to understand the various factors preventing the participation and utilization of breast cancer screening, thereby study the different approaches for encouraging their participation and also the effectiveness of different ways of communication to Anganwadi Workers (AWW) and Anganwadi Helpers (AWH) in increasing breast cancer screening uptake at cancer screening camps.

Machine learning techniques for periodontitis and dental caries detection: A narrative review.

Objectives: In recent years, periodontitis, and dental caries have become common in humans and need to be diagnosed in the early stage to prevent severe complications and tooth loss. These dental issues are diagnosed by visual inspection, measuring pocket probing depth, and radiographs findings from experienced dentists. Though a glut of machine learning (ML) algorithms has been proposed for the automated detection of periodontitis, and dental caries, determining which ML techniques are suitable for clinical practice remains under debate.

Structure-based virtual screening to identify potential lipase inhibitors to reduce lipid storage in Wolman disorder.

Wolman disorder (WD) was first described in Iranian-Jewish (IJ) children, and it is caused by a deficiency of the lysosomal acid lipase (LAL). Newborns with WD are healthy and active at birth but soon develop severe malnutrition symptoms and often die before 1 year. In particular, spleens, livers, bone marrows, intestines, adrenal glands, and lymph nodes accumulate harmful amounts of lipids.