David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...
A team of scientists at The University of Texas Medical Branch (UTMB), led by Nikos Vasilakis, Ph.D., and Peter McCaffrey, MD ...
Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and ...
This issue aims to showcase how machine learning (ML) and Artificial Intelligence (AI) approaches can be used with real world data (RWD) sources to generate ...
Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
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