Integrating MCDA, CE, LCA, and ANN, this research evaluates bio-based retrofitting approaches, promoting sustainability in ...
Today’s AI is still unreliable. Some researchers think solving that problem requires teaching AI systems to understand the world around them.
For decades, scientists have worked to improve predictions of El Niño-Southern Oscillation (ENSO), a climate powerhouse that ...
An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...
A team of international researchers, including an Aston University researcher, has cracked the code on how "breather" laser ...
An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...
Deciding whether to administer chemotherapy after surgery is one of the most challenging questions in early-stage breast cancer care. While chemotherapy can reduce the risk of recurrence, most ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...
A new study published in the Journal of Neurology1 detailed the development of 2 machine learning–based tools that were able ...
The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...
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