Infectious Disease

HIV/AIDS

Latest AI and machine learning research in hiv/aids for healthcare professionals.

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Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From Phonocardiogram.

Heart auscultation is a simple and inexpensive first-line diagnostic test for the early screening of...

Low-power and lightweight spiking transformer for EEG-based auditory attention detection.

EEG signal analysis can be used to study brain activity and the function and structure of neural net...

LCFFNet: A Lightweight Cross-scale Feature Fusion Network for human pose estimation.

Human pose estimation is one of the most critical and challenging problems in computer vision. It is...

Insights From Art Therapists on Using AI-Generated Art in Art Therapy: Mixed Methods Study.

BACKGROUND: With the increasing integration of artificial intelligence (AI) into various aspects of ...

Discovering geroprotectors through the explainable artificial intelligence-based platform AgeXtend.

Aging involves metabolic changes that lead to reduced cellular fitness, yet the role of many metabol...

Artificial intelligence enabled smart mask for speech recognition for future hearing devices.

In recent years, Lip-reading has emerged as a significant research challenge. The aim is to recognis...

Cytokine profiles as predictors of HIV incidence using machine learning survival models and statistical interpretable techniques.

HIV remains a critical global health issue, with an estimated 39.9 million people living with the vi...

A hybrid model for monthly runoff forecasting based on mixed signal processing and machine learning.

Monthly runoff forecasting plays a critically supportive role in water resources planning and manage...

Two-step graph propagation for incomplete multi-view clustering.

Incomplete multi-view clustering addresses scenarios where data completeness cannot be guaranteed, d...

PhenoFlow: A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets.

Acute stroke demands prompt diagnosis and treatment to achieve optimal patient outcomes. However, th...

SLInterpreter: An Exploratory and Iterative Human-AI Collaborative System for GNN-Based Synthetic Lethal Prediction.

Synthetic Lethal (SL) relationships, though rare among the vast array of gene combinations, hold sub...

Utilization of Artificial Intelligence for the automated recognition of fine arts.

Fine art recognition, traditionally dependent on human expertise, is undergoing a significant transf...

Artificial intelligence-powered image analysis: A paradigm shift in infectious disease detection.

The global burden of infectious diseases significantly affects mortality rates, with their varying s...

The Transformative Impact of AI, Extended Reality, and Robotics in Interventional Radiology: Current Trends and Applications.

Interventional Radiology is at the forefront of integrating advanced imaging techniques and minimall...

GraphCPP: The new state-of-the-art method for cell-penetrating peptide prediction via graph neural networks.

BACKGROUND AND PURPOSE: Cell-penetrating peptides (CPPs) are short amino acid sequences that can pen...

Learning patterns of HIV-1 resistance to broadly neutralizing antibodies with reduced subtype bias using multi-task learning.

The ability to predict HIV-1 resistance to broadly neutralizing antibodies (bnAbs) will increase bnA...

Analysis and prediction of infectious diseases based on spatial visualization and machine learning.

Infectious diseases are a global public health problem that poses a threat to human society. Since t...

Convolutional neural network for oral cancer detection combined with improved tunicate swarm algorithm to detect oral cancer.

Early Diagnosis of oral cancer is very important and can save you from some oral malignancies. Howev...

Convergence of Nanotechnology and Machine Learning: The State of the Art, Challenges, and Perspectives.

Nanotechnology and machine learning (ML) are rapidly emerging fields with numerous real-world applic...

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