Classification and Prediction of VOCs Using an IoT-Enabled Electronic Nose System-Based Lab Prototype for Breath Sensing Applications.

Electronic nose (e-nose) systems are well known in breath analysis because they combine breath printing with advanced and intelligent machine learning (ML) algorithms. This work demonstrates development of an e-nose system comprising gas sensors exposed to six different volatile organic compounds (VOCs). The change in the voltage of the sensors was recorded and analyzed through ML algorithms to achieve selectivity and predict the VOCs.

Acromegalic Cardiomyopathy: An Overview of Risk Factors, Clinical Manifestations, and Therapeutic Options.

Acromegaly is a rare endocrine disorder that carries a significant burden of cardiovascular morbidity and mortality. Abnormalities of the growth hormone/insulin-like growth factor-1 axis in acromegaly lead to the characteristic cardiovascular manifestations of this disease. One hallmark feature of the disease is acromegalic cardiomyopathy, a syndrome of progressive cardiac dysfunction characterized by left ventricular hypertrophy, diastolic dysfunction, and combined systolic and diastolic dysfunction in the very advanced stage.

Stability-indicating HPTLC determination of imatinib mesylate in bulk drug and pharmaceutical dosage form.

A simple, selective, precise and stability-indicating high-performance thin-layer chromatographic method of analysis of imatinib mesylate both as a bulk drug and in formulations was developed and validated. The method employed HPTLC aluminium plates precoated with silica gel 60F-254 as the stationary phase. The solvent system consisted of chloroform:methanol (6:4, v/v).