Researchers have built DepressNet, an interpretable stacking-ensemble machine learning framework that stratifies depression ...
Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...
A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures. Metal nanoparticles catalyze reactions ...
A new study shows pipeline leakage pressure, not rainfall, is the dominant driver of urban road collapse, with interpretable ...
A Duke University-led research team has developed a machine learning (ML) tool designed to assist clinicians in accurately reading the electroencephalography (EEG) charts of patients in intensive care ...
Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use ...
A novel machine learning model accurately screened for psychologic distress in patients with chronic rhinosinusitis using routine clinical variables.
A new artificial neural-network architecture opens a window into the workings of a tool previously regarded as a black box. Since the Scientific Revolution, scientific progress has mostly been made by ...
The National Academies of Sciences, Engineering, and Medicine are private, nonprofit institutions that provide expert advice on some of the most pressing challenges facing the nation and world. Our ...
Machine learning is a branch of AI focused on building computer systems that learn from data. The breadth of ML techniques enables software applications to improve their performance over time. ML ...
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