A machine learning approach to the development and prospective evaluation of a pediatric lung sound classification model

Abstract Auscultation, a cost-effective and non-invasive part of physical examination, is essential to diagnose pediatric respiratory disorders.Electronic stethoscopes allow Duvet Set transmission, storage, and analysis of lung sounds.We aimed to develop a machine learning model to classify pediatric respiratory sounds.Lung sounds were digitally re

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Discovery of Orphan Olfactory Receptor 6M1 as a New Anticancer Target in MCF-7 Cells by a Combination of Surface Plasmon Resonance-Based and Cell-Based Systems

Olfactory receptors (ORs) account for 49% of all G protein-coupled receptors (GPCRs), which are important targets for drug discovery, and hence ORs may also be potential drug Headcover targets.Various ORs are expressed in breast cancer cells; however, most of them are orphan receptors, and thus, their functions are unknown.Herein, we present an exp

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