Sonorus isn't the only organisation working to detect heart disease via AI sound analysis. Studies on AI-enabled stethoscopes ...
A team of scientists at The University of Texas Medical Branch (UTMB), led by Nikos Vasilakis, Ph.D., and Peter McCaffrey, MD ...
Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales. A new framework, CH4Vision, addresses this problem by estimating methane flux ...
A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and ...
Abstract: The purpose of this study is to estimate and predict onion wholesale price volatility using statistical and machine learning algorithms. Traditional models like ARIMA and GARCH were compared ...
Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...
Two significant and related developments recently may accelerate the federal government's push to establish a comprehensive national ...
In conclusion, AI is shaping the future of food inspection by complementing advanced algorithms and human expertise. Rather ...
Cerf’s February 2026 Communications Cerf’s Up column, “Does AI Now Represent a Paradigm Shift?” rightly characterizes modern ...
A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined ...
As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...
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