Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...

The French philosopher takes phenomena such as mass consumption, aesthetics, leisure and the kitsch to examine our world and ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Artificial intelligence is quietly reshaping how crops are bred, and the biggest gains may come not in corn or wheat but in ...

Crops increasingly need to thrive in a broader range of conditions, including drought, salinity, and heat. Traditional plant ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

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 ...

Advanced biliary tract cancer represents one of the most challenging gastrointestinal malignancies in China, with increasing ...

Background Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality with limited therapeutic options. Despite ...

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