An interpretable machine learning model predicted moderate to severe acute kidney injury risk in ICU patients with acute ...
Understanding gene regulation may be the key to interpreting human disease genetics. Genes are regulated in part by stretches ...
A machine learning model matched HVPG accuracy for predicting decompensation in advanced chronic liver disease, without invasive testing.
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...
Association of the 70-gene assay and homologous recombination deficiency in patients with high risk 2 breast cancers. Model performance by outcome and number of variables. a Concordance index; scores ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
FAU engineering researchers have developed a quantum machine learning framework for heart disease prediction that achieved ...
Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...
16hon MSN
Meet Praadhyumn Indaana, 17, whose AI cut nuclear heat-limit error from 63% to 5.5%; he won $50K
Praadhyumn Indaana has created a groundbreaking physics-guided neural network tailored for nuclear reactors. This ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results