Pain Management

Latest AI and machine learning research in pain management for healthcare professionals.

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Leveraging artificial intelligence-mediated communication for cancer prevention and control and drug addiction: A systematic review.

OBJECTIVE: To conduct a systematic review on Artificial Intelligence-Mediated Communication (AIMC) b...

Jan 2025 40036982
Threshold Attention Network for Semantic Segmentation of Remote Sensing Images

Semantic segmentation of remote sensing images is essential for various applications, including ve...

MSV-Mamba: A Multiscale Vision Mamba Network for Echocardiography Segmentation

Ultrasound imaging frequently encounters challenges, such as those related to elevated noise level...

Improving Pain Classification using Spatio-Temporal Deep Learning Approaches with Facial Expressions

Pain management and severity detection are crucial for effective treatment, yet traditional self-r...

Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing

When applied in healthcare, reinforcement learning (RL) seeks to dynamically match the right inter...

A Brain Age Residual Biomarker (BARB): Leveraging MRI-Based Models to Detect Latent Health Conditions in U.S. Veterans

Age prediction using brain imaging, such as MRIs, has achieved promising results, with several stu...

HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion

Hyperspectral image (HSI) fusion addresses the challenge of reconstructing High-Resolution HSIs (H...

Are GNNs Actually Effective for Multimodal Fault Diagnosis in Microservice Systems?

Graph Neural Networks (GNNs) are widely adopted for fault diagnosis in microservice systems, premi...

Attending To Syntactic Information In Biomedical Event Extraction Via Graph Neural Networks

Many models are proposed in the literature on biomedical event extraction(BEE). Some of them use t...

Long-range Brain Graph Transformer

Understanding communication and information processing among brain regions of interest (ROIs) is h...

CAPTAIN: A multimodal foundation model pretrained on co-assayed single-cell RNA and protein

Proteins act as the terminal effectors of cellular function, encoding the phenotypic consequences of...

Molecular unbalances between striosome and matrix compartments characterize the pathogenesis of Huntington’s disease model mouse

The pathogenesis of Huntington’s disease is still incompletely understood, despite the remarkable ad...

In vivo Quantification of Neural Criticality and Complexity in Mouse Cortex and Striatum in a Model of Cocaine Abstinence

Self-organized criticality is a hallmark of complex dynamic systems at phase transitions. Systems th...

A machine-learning-guided hydrogen-bonded organic framework for long-term, ultrasound-triggered pain therapy

Effective treatment of chronic pain remains hindered by the lack of drug delivery systems that simul...

MoCETSE: A mixture-of-convolutional experts and transformer-based model for predicting Gram-negative bacterial secreted effectors

Identifying effector proteins of Gram-negative bacterial secretion systems is crucial for understand...

Multivariate pattern analysis reveals resting-state EEG biomarkers in fibromyalgia

Fibromyalgia (FM) involves widespread musculoskeletal pain and hypersensitivity, often accompanied b...

Non-polio enteroviruses compromise the electrophysiology of a human iPSC-derived neural network

The non-polio enteroviruses enterovirus-D68 (EV-D68) and enterovirus-A71 (EV-A71) are highly prevale...

Modeling Withdrawal States in Opioid-Dependent Mice with Machine Learning

Understanding opioid withdrawal behaviors in preclinical models is critical to improving therapeutic...

Personalized real-time inference of momentary excitability from human EEG

The efficacy of transcranial magnetic stimulation (TMS) is often limited by non-adaptive protocols t...

The Human Omnibus of Targetable Pockets

Hundreds of computational methods for predicting ligand binding pockets exist, but the problem of fi...

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