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 ...

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

VANCOUVER, BC, Dec. 31, 2025 /CNW/ -- The precision oncology market surged to $139.4 billion in 2025 and is racing toward $317.5 billion by 2035([1]) , driven by a fundamental shift in cancer ...

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

The publication unveiled its annual selection of the most significant scientific and technological breakthroughs from the ...

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

These sequences are extremely prone to mutations and rank among the most functionally important regions in the entire human genome, together with protein-coding sequences,” said Donate Weghorn, a ...

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

Abstract: Genetic algorithms (GA) are search engines that either optimize or reduce predefined functions. The technique of selection is an important phase in GA. This research study aims to evaluate, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The earthworm is a key indicator species in soil ecosystems. This makes the ...

Abstract: Essential proteins play a vital role in the preparation of antibiotics, disease diagnosis, and understanding the structure of an organism. It is crucial for cell survival and is associated ...