A patient death in a CRISPR trial halts gene editing studies, raising critical safety questions. What this means for the ...
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 ...
Maize is an important cereal that is grown and consumed all over the world. Among the selection methods that contribute to increasing the frequency of favorable alleles in native maize populations, ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
Abstract: This paper proposes a real-time prediction of the duct using a refractivity from clutter (RFC) method based on genetic algorithm (GA) and the parabolic equation (PE) method. Three dates with ...
Abstract: Migraine is a common and painful neurological condition that is often characterized by one-sided, throbbing, and pulsating headaches. Unfortunately, a lot of people who suffer from migraines ...
University of South Australia scientists have developed a powerful new way to uncover the genetic interactions that fuel cancer progression, paving the way for earlier and more precise treatments. The ...
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