Explainable AI prioritizes serum microRNAs for pancreatic cancer detection
A retrospective analysis of 1,101 serum samples used explainable artificial intelligence to prioritize circulating microRNAs that distinguished pancreatic cancer from ...
A retrospective analysis of 1,101 serum samples used explainable artificial intelligence to prioritize circulating microRNAs that distinguished pancreatic cancer from ...
A new graph neural network framework called DrugSAGE predicts cancer drug responses by aggregating transcriptomic features from tumors and their ...
Researchers have unveiled a subspace clustering framework that preserves the structural fidelity of high-dimensional data while avoiding the prohibitive cost ...
High-dimensional data have become the defining challenge of modern machine learning, and a team of researchers in China has now ...
In an unprecedented advancement at the intersection of biophysics and artificial intelligence, a research team from Northwestern University has engineered ...
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© 2025 Scienmag - Science Magazine