Related Experiment Video
Updated: Jan 8, 2026

An Improved Method for Collection of Cerebrospinal Fluid from Anesthetized Mice
Published on: March 19, 2018
Artificial Intelligence Powered Audiomics: The Futuristic Biomarker in Pulmonary Medicine - A State-of-the-Art Review
Sakthi Jaya Sundar Rajasekar1, Saleem M1, Kannan N1
1Melmaruvathur Adhiparasakthi Institute of Medical Sciences and Research, Melmaruvathur, 603319, Tamil Nadu, India.
Abstract:
AI-driven "audiomics" leverages voice and respiratory sounds as non-invasive biomarkers to diagnose and manage pulmonary conditions, including COVID-19, tuberculosis, ILD, asthma, and COPD. By analyzing acoustic features, machine and deep learning enhance diagnostic accuracy and track disease progression. Key applications include cough-based TB detection, smartphone COVID-19 screening, and speech analysis for asthma and COPD monitoring. Ethical challenges like data privacy and standardization remain barriers to clinical adoption. With ongoing research, audiomics holds promise for transforming respiratory diagnostics and personalized care.
Related Concept Videos
06:40An Improved Method for Collection of Cerebrospinal Fluid from Anesthetized Mice
08:40Absolute Quantification of Aβ1-42 in CSF Using a Mass Spectrometric Reference Measurement Procedure
11:47Treating SCA1 Mice with Water-Soluble Compounds to Non-Specifically Boost Mitochondrial Function
05:51Intracerebroventricular and Intravascular Injection of Viral Particles and Fluorescent Microbeads into the Neonatal Brain
11:56A Rapid and Specific Microplate Assay for the Determination of Intra- and Extracellular Ascorbate in Cultured Cells
14:55Direct Intraventricular Delivery of Drugs to the Rodent Central Nervous System

