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 ...
David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...
Schug has written extensively on the role of AI and data science in analytical chemistry in the LCGC Blog. In a recent ...
A team of scientists at The University of Texas Medical Branch (UTMB), led by Nikos Vasilakis, Ph.D., and Peter McCaffrey, MD ...
Meta reports that Muse Spark achieves its reasoning capabilities using over an order of magnitude less compute than Llama 4 ...
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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