A novel, minimally invasive computer software-based method that uses artificial intelligence to determine whether plaques in a coronary artery are restricting blood flow to the patient's heart ...
Assessing intermediate coronary lesions with an intracoronary pressure wire improves clinical outcomes in patients undergoing cardiac catheterization and percutaneous coronary intervention (PCI).
The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...
A new soil-moisture retrieval strategy has improved the accuracy of satellite-based moisture mapping by combining microwave ...
Researchers followed more than 150 thousand participants and found a consistent link between the DASH diet at ages 40-50 and ...
“With clearly demonstrated success in detecting differential toxicity in ADCs, our NAMkind models are now well-established at the cutting edge of the field,” said Keith Murphy, VivoSim’s Executive ...
In the context of the digital economy, digital transformation has become a key driver for enterprises to develop new quality ...
Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...
Abstract: In this study, we expand on a previously introduced method for computing the error statistics associated with estimating the time of arrival of a known ...
Abstract: The Stochastic Finite-Difference Time-Domain (SFDTD) method based on Taylor expansion is an effective numerical method for quantifying uncertain parameters in electromagnetic models, but its ...
Research shows that sex differences play a substantial role in health and disease progression. To improve basic and translational science and address the existing gap for women’s health research, ...
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