Intensivists

Identification of pyroptosis-related gene S100A12 as a potential diagnostic biomarker for sepsis through bioinformatics analysis and machine learning.

Sepsis is a non-discriminatory inflammatory reaction that can result in a diverse array of organ dys...

Navigating Through Whole Slide Images With Hierarchy, Multi-Object, and Multi-Scale Data.

Building deep learning models that can rapidly segment whole slide images (WSIs) using only a handfu...

ADT²R: Adaptive Decision Transformer for Dynamic Treatment Regimes in Sepsis.

Dynamic treatment regimes (DTRs), which comprise a series of decisions taken to select adequate trea...

A human pose estimation network based on YOLOv8 framework with efficient multi-scale receptive field and expanded feature pyramid network.

Deep neural networks are used to accurately detect, estimate, and predict human body poses in images...

AdptDilatedGCN: Protein-ligand binding affinity prediction based on multi-scale interaction fusion mechanism and dilated GCN.

Predicting protein-ligand binding affinity is crucial for drug discovery. However, existing predicti...

Improved integrated framework for flooded crop damage and recovery assessment: A multi-source earth observation and participatory mapping in Hadejia, Nigeria.

Flooding has increasingly significant adverse effects on global food security, and there is a lack o...

MSRP-TODNet: a multi-scale reinforced region wise analyser for tiny object detection.

OBJECTIVE: Detecting small, faraway objects in real-time surveillance is challenging due to limited ...

Clinical assessment of the criticality index - dynamic, a machine learning prediction model of future care needs in pediatric inpatients.

OBJECTIVE: To assess patient characteristics and care factors that are associated with correct and i...

NAH-GNN: A graph-based framework for multi-behavior and high-hop interaction recommendation.

With the growing demand for personalized marketing, recommender systems have become essential tools ...

MSCViT: A small-size ViT architecture with multi-scale self-attention mechanism for tiny datasets.

Vision Transformer (ViT) has demonstrated significant potential in various vision tasks due to its s...

Construction of a multi-modal digital human education platform based on GAN and vision transformer.

With the rapid development of artificial intelligence technology, digital human education platforms ...

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study.

BACKGROUND: Persistent sepsis-associated acute kidney injury (SA-AKI) shows poor clinical outcomes a...

All-Electrical Control of Spin Synapses for Neuromorphic Computing: Bridging Multi-State Memory with Quantization for Efficient Neural Networks.

The development of energy-efficient, brain-inspired neuromorphic computing demands advanced memory d...

Layer Frozen Multi-Net & Latent Space Feature-Concealed Backdoor Samples Detection.

Identifying feature-concealed backdoor samples that entangle with benign semantics of target-class o...

Multi-Granularity Autoformer for long-term deterministic and probabilistic power load forecasting.

Long-term power load forecasting is critical for power system planning but is constrained by intrica...

Deep learning for fetal inflammatory response diagnosis in the umbilical cord.

INTRODUCTION: Inflammation of the umbilical cord can be seen as a result of ascending intrauterine i...

Construction and validation of prognostic model for ICU mortality in cardiac arrest patients: an interpretable machine learning modeling approach.

BACKGROUND: The incidence and mortality of cardiac arrest (CA) is high. We developed interpretable m...

Leveraging TME features and multi-omics data with an advanced deep learning framework for improved Cancer survival prediction.

Glioma, a malignant intracranial tumor with high invasiveness and heterogeneity, significantly impac...

Integrating bioinformatics and machine learning to discover sumoylation associated signatures in sepsis.

Small Ubiquitin-like MOdifier-mediated modification (SUMOylation) is associated with sepsis; however...

Estimating soil cadmium concentration using multi-source UAV imagery and machine learning techniques.

Urbanization and industrialization have led to widespread soil heavy metals contamination, posing si...

Beyond immunosuppression: decoding systemic immune dysregulation in ICU-acquired pneumonia.