HIV/AIDS

Optimal Architecture of Floating-Point Arithmetic for Neural Network Training Processors.

The convergence of artificial intelligence (AI) is one of the critical technologies in the recent fourth industrial revolution. The AIoT (Artificial Intelligence Internet of Things) is expected to be a solution that aids rapid and secure data processing. While the success of AIoT demanded low-power neural network processors, most of the recent research has been focused on accelerator designs only ...

Anomalous Gait Feature Classification From 3-D Motion Capture Data.

The gait kinematics of an individual is affected by various factors, including age, anthropometry, gender, and disease. Detecting anomalous gait features aids in the diagnosis and treatment of gait-related diseases. The objective of this study was to develop a machine learning method for automatically classifying five anomalous gait features, i.e., toe-out, genu varum, pes planus, hindfoot valgus,...

Different features identified by machine learning associated with the HIV compartmentalization in semen.

Genetic compartmentalization in semen has been observed in previous studies. However, genetic signatures associated with compartmentalization in semen...

Clinically applicable deep learning-based decision aids for treatment of neovascular AMD.

PURPOSE: Anti-vascular endothelial growth factor (Anti-VEGF) therapy is currently seen as the standard for treatment of neovascular AMD (nAMD). Howeve...

Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT.

Delineating swallowing and chewing structures aids in radiotherapy (RT) treatment planning to limit dysphagia, trismus, and speech dysfunction. We aim...

Deep Learning of Morphologic Correlations To Accurately Classify CD4+ and CD8+ T Cells by Diffraction Imaging Flow Cytometry.

The two major subtypes of human T cells, CD4+ and CD8+, play important roles in adaptive immune response by their diverse functions. To understand the...

In Vitro Cytotoxicity and Anti-HIV Activity of Crude Extracts of , and .

INTRODUCTION: Human immunodeficiency virus (HIV) affects the body's defense mechanisms and leads to a number of opportunistic infections which later c...

Introducing the Prototypical Stimulus Characteristics Toolbox: Protosc.

Many studies use different categories of images to define their conditions. Since any difference between these categories is a valid candidate to expl...

Optimization: Molecular Communication Networks for Viral Disease Analysis Using Deep Leaning Autoencoder.

Developing new treatments for emerging infectious diseases in infectious and noninfectious diseases has attracted a particular attention. The emergenc...

Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans.

Coronavirus Disease 2019 (COVID-19) is a deadly infection that affects the respiratory organs in humans as well as animals. By 2020, this disease turn...

From Drug Molecules to Thermoset Shape Memory Polymers: A Machine Learning Approach.

Ultraviolet (UV)-curable thermoset shape memory polymers (TSMPs) with high recovery stress but mild glass transition temperature () are highly desired...

A Convolutional Deep Clustering Framework for Gene Expression Time Series.

The functional or regulatory processes within the cell are explicitly governed by the expression levels of a subset of its genes. Gene expression time...

Septicemic Melioidosis Detection Using Support Vector Machine with Five Immune Cell Types.

Melioidosis, caused by (), predominantly occurs in the tropical regions. Of various types of melioidosis, septicemic melioidosis is the most lethal o...

Machine Learning-Based HIV Risk Estimation Using Incidence Rate Ratios.

HIV/AIDS is an ongoing global pandemic, with an estimated 39 million infected worldwide. Early detection is anticipated to help improve outcomes and p...

Performance of Machine Learning Algorithms for Predicting Progression to Dementia in Memory Clinic Patients.

IMPORTANCE: Machine learning algorithms could be used as the basis for clinical decision-making aids to enhance clinical practice.

Understanding Medical Distrust Among African American/Black and Latino Persons Living With HIV With Sub-Optimal Engagement Along the HIV Care Continuum: A Machine Learning Approach.

Medical distrust is a potent barrier to participation in HIV care and medication use among African American/Black and Latino (AABL) persons living wit...

Artificial intelligence (AI)-assisted exome reanalysis greatly aids in the identification of new positive cases and reduces analysis time in a clinical diagnostic laboratory.

PURPOSE: Artificial intelligence (AI) and variant prioritization tools for genomic variant analysis are being rapidly developed for use in clinical di...

Lateral bending and buckling aids biological and robotic earthworm anchoring and locomotion.

Earthworms () are characterized by soft, highly flexible and extensible bodies, and are capable of locomoting in most terrestrial environments. Previo...

Development of a Machine learning image segmentation-based algorithm for the determination of the adequacy of Gram-stained sputum smear images.

BACKGROUND: Machine learning (ML) prepares and trains a model through supervised or unsupervised learning methods. Sputum, a respiratory tract secreti...

A Theoretical Comprehensive Framework for the Process of Theories Formation.

Scientists rely more and more upon computerized data mining and artificial intelligence to analyze data sets and identify association rules, which ser...