Infectious Disease

HIV/AIDS

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

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Mental health phenotypes of well-controlled HIV in Uganda.

INTRODUCTION: The phenotypic expression of mental health (MH) conditions among people with HIV (PWH)...

Distributed Denial of Services (DDoS) attack detection in SDN using Optimizer-equipped CNN-MLP.

Software-Defined Networks (SDN) provides more control and network operation over a network infrastru...

Machine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia.

Indonesia is still the second-highest tuberculosis burden country in the world. The antituberculosis...

Under-representation for Female Pelvis Cancers in Commercial Auto-segmentation Solutions and Open-source Imaging Datasets.

AIM: Artificial intelligence (AI) based auto-segmentation aids radiation therapy (RT) workflows and ...

Your brain on art, nature, and meditation: a pilot neuroimaging study.

OBJECTIVES: Exposure to art, nature, or meditation, all transcending human experiences, has benefici...

Explainable deep learning and virtual evolution identifies antimicrobial peptides with activity against multidrug-resistant human pathogens.

Artificial intelligence (AI) is a promising approach to identify new antimicrobial compounds in dive...

AI contextual information shapes moral and aesthetic judgments of AI-generated visual art.

Throughout history, art creation has been regarded as a uniquely human means to express original ide...

Working-memory load decoding model inspired by brain cognition based on cross-frequency coupling.

Working memory, a fundamental cognitive function of the brain, necessitates the evaluation of cognit...

HIV OctaScanner: A Machine Learning Approach to Unveil Proteolytic Cleavage Dynamics in HIV-1 Protease Substrates.

The rise of resistance to antiretroviral drugs due to mutations in human immunodeficiency virus-1 (H...

E-DFu-Net: An efficient deep convolutional neural network models for Diabetic Foot Ulcer classification.

The Diabetic Foot Ulcer (DFU) is a severe complication that affects approximately 33% of diabetes pa...

Diagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review.

BACKGROUND: Melanoma is a highly aggressive skin cancer, where early and accurate diagnosis is cruci...

Leveraging explainable AI and large-scale datasets for comprehensive classification of renal histologic types.

Recently, as the number of cancer patients has increased, much research is being conducted for effic...

A graph neural network-based model with out-of-distribution robustness for enhancing antiretroviral therapy outcome prediction for HIV-1.

Predicting the outcome of antiretroviral therapies (ART) for HIV-1 is a pressing clinical challenge,...

FocusUNet: Pioneering dual attention with gated U-Net for colonoscopic polyp segmentation.

The detection and excision of colorectal polyps, precursors to colorectal cancer (CRC), can improve ...

Combining machine learning and single-cell sequencing to identify key immune genes in sepsis.

This research aimed to identify novel indicators for sepsis by analyzing RNA sequencing data from pe...

Human perception of art in the age of artificial intelligence.

Recent advancement in Artificial Intelligence (AI) has rendered image-synthesis models capable of pr...

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