Duke University engineers are using artificial intelligence to do something scientists have chased for centuries; turn messy, real-world motion into simple rules you can write down. The work comes ...
Mathematicians may have a better way to measure agreement across different datasets. Agreement affects reproducibility, meta-analysis, and prediction to fill in missing data points. We need a more ...
ABSTRACT: Background and Purpose: Radiation therapy is one of the methods for the treatment of brain tumors. Besides using Co-60-based radiation, LINAC-based stereotactic radiosurgery (SRS) has been ...
Please provide your email address to receive an email when new articles are posted on . Estimated glomerular filtration rate prior to cisplatin treatment predicted who had higher risk for chronic ...
This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...
An international team of mathematicians, led by Lehigh statistician Taeho Kim, has introduced an innovative method that could significantly improve how scientists make predictions, especially in ...
Gene-set analysis seeks to identify the biological mechanisms underlying groups of genes with shared functions. Large language models (LLMs) have shown promise in generating functional descriptions ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
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