Demonstrating faster, simpler, more cost-efficient NGS workflows that turn complex agrigenomics data into practical ...
The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Whole-genome sequencing (WGS) is increasingly used as the primary typing method for foodborne disease surveillance. It offers high-resolution cluster analysis, interoperability, and comprehensive ...
Abstract: Aiming at the problem of fault diagnosis of rotating machinery under complex working conditions, a convolutional neural network (CNN) model with an improved convolutional layer based on ...
Alzheimer’s Disease Analysis Model Generation 1 (ADAM-1) is a multi-agent reasoning large language model (LLM) framework designed to integrate and analyze multimodal data, including microbiome ...