AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
UT biochemistry major Milit Patel collaborated with researchers at Memorial Sloan Kettering Cancer Center on research published in a top cancer journal.
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
IEEE Spectrum on MSN
Machine learning system monitors patient pain during surgery
To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
A new research paper shows the approach performs significantly better than the random-walk forecasting method.
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