Finding patterns and reducing noise in large, complex datasets generated by the gravitational wave-detecting LIGO facility ...
Machine learning (ML) algorithms are constantly finding new applications in all scientific fields, and geological engineering ...
Exponential growth in big data and computing power is transforming climate science, where machine learning is playing a ...
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Researchers at the University of Toronto's Faculty of Applied Science & Engineering have used machine learning to design nano ...
Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a ...
Polymer research shows that machine learning can optimize tribological performance of epoxy coatings, with GBR outperforming ...
The genes included those involved in the function of energy-producing mitochondria, lipid and iron metabolism, and the ...
The following is a summary of “Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and ...
The Kushal Dey Lab builds statistical and machine learning models that integrate genetic and genomic ... Jagadeesh K, Dey KK,# and Price AL.# 2024. Linking regulatory variants to target genes by ...
Depression impacts an estimated 18 million Americans each year, yet depression screening rarely occurs in the outpatient setting.
An interpretive machine learning model may be a feasible method for measuring agitation in dementia as well as in predicting ...