Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Dissecting protective versus detrimental immune responses uncovers biomarkers and mechanisms that can inform the rational design and evaluation of live attenuated vaccines against African swine fever ...
Abstract: Weed growth in crops is a significant threat in agricultural productivity, mainly in case of cash crops like tobacco. The grown weeds compete for nutrients, water and sunlight which reduces ...
Stratified K-Fold cross-validation is an essential technique in machine learning for evaluating model performance. It addresses the limitations of simple K-Fold cross-validation by ensuring that each ...
This project develops a multitask graph convolutional neural network (MT-GCN) to jointly predict apparent permeability (Papp) across five assays (Caco-2, MDCK, RRCK, LLC-PK1, and PAMPA), and ...
Blood‐based biomarkers for stroke subtyping could improve triage in emergency settings. We used cross‐platform proteomics to identify plasma biomarkers differentiating major stroke diagnostic groups.
Gut microbiota dysbiosis drives sepsis progression by impairing intestinal barrier function and exacerbating systemic inflammation, but the microbiota-host-immune interaction mechanisms remain unclear ...
This study aims to establish an interpretable disease classification model via machine learning and identify key features related to the disease to assist clinical disease diagnosis based on a ...
1 Department of Biochemistry, Chemistry, and Geology, Minnesota State University, Mankato, Mankato, MN, USA. 2 Department of Computer Information Science, Minnesota ...
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