Infectious Disease

HIV/AIDS

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

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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 ...

COVID-19 Related Sentiment Analysis Using State-of-the-Art Machine Learning and Deep Learning Techniques.

The coronavirus disease 2019 (COVID-19) pandemic has influenced the everyday life of people around t...

Digital Image Art Style Transfer Algorithm Based on CycleGAN.

With the continuous development and popularization of artificial intelligence technology in recent y...

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 resp...

Health and environmental safety of nanomaterials: O Data, Where Art Thou?

Nanotechnology keeps drawing attention due to the great tunable properties of nanomaterials in compa...

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 ...

Introducing the Prototypical Stimulus Characteristics Toolbox: Protosc.

Many studies use different categories of images to define their conditions. Since any difference bet...

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

Developing new treatments for emerging infectious diseases in infectious and noninfectious diseases ...

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 hum...

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 ...

A Convolutional Deep Clustering Framework for Gene Expression Time Series.

The functional or regulatory processes within the cell are explicitly governed by the expression lev...

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 melioi...

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 detec...

Molecular modeling in cardiovascular pharmacology: Current state of the art and perspectives.

Molecular modeling in pharmacology is a promising emerging tool for exploring drug interactions with...

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...

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 l...

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 lea...

A Theoretical Comprehensive Framework for the Process of Theories Formation.

Scientists rely more and more upon computerized data mining and artificial intelligence to analyze d...

Using explainable machine learning to characterise data drift and detect emergent health risks for emergency department admissions during COVID-19.

A key task of emergency departments is to promptly identify patients who require hospital admission....

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