A multi-omics synthesis reveals how transcranial magnetic stimulation alters cell-specific transcription, synaptic proteins, and brain networks in treatment-resistant depression while ...
A two-year field study in the North China Plain demonstrates that adopting a low-nitrogen spring mung bean and summer sweet ...
A study published in Earth Science Informatics presents a Bayesian-optimized fully convolutional network, designated Bo-FCN-8 S, for the automated pixel-level ...
A retrospective study using the MIMIC-IV database found that machine learning models, particularly Gradient Boosting Decision Trees, outperformed the SOFA ...
A structured transitional health management program built on Intervention Mapping theory significantly improved preoperative bowel preparation efficiency, reduced complication rates, ...
A study published in BMC Artificial Intelligence evaluates machine learning models for predicting colorectal cancer outcomes in Palestine and globally, ...
Artificial intelligence is fundamentally reshaping the field of bioprospecting, a process that has historically relied on labor-intensive extraction and screening ...
A new multi-channel in vitro electrical stimulator developed by Portuguese researchers enhances neurite growth and neuronal differentiation in cell cultures, ...
A scoping review reveals that while deep learning models demonstrate high accuracy in identifying orthodontically induced root resorption, methodological risks ...
A big data situational awareness framework combining Apache Spark pipelines with an Attention-based Deep Gated Recurrent Unit network accurately detects ...
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