SAN ANTONIO – A machine learning (ML) model incorporating both clinical and genomic factors outperformed models based solely on either clinical or genomic data in predicting which patients with ...
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
In the rapidly evolving field of computational intelligence, there is a pressing demand for advanced tools and algorithms ...
Science and artificial intelligence combined at the Medical University of South Carolina in a study that could lead to personalized repetitive transcranial magnetic stimulation, or rTMS, for smokers ...
Machine learning model accurately diagnoses interstitial pneumonia, matching pulmonologist expertise and predicting mortality ...
INDIANAPOLIS — As a Purdue University master’s degree student in electrical and computer engineering in West Lafayette, Karen D’Souza was impressed by the depth and breadth of the research offered ...
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