Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...
A new study published in the journal of BMC Nephrology revealed that a U-shaped link between high stress hyperglycemia ratio ...
Researchers from China University of Petroleum (East China), in collaboration with international partners, have reported a ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Pests that spread as a result of climate change pose an increasing threat to fruit farming and viticulture in Germany. Fraunhofer researchers are working with partners to develop methods for the early ...
Dr Yves R. Sagaert emphasizes the importance of organizations shifting away from traditional static budgeting, which relies ...
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