Infectious Disease

HIV/AIDS

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

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KNDM: A Knowledge Graph Transformer and Node Category Sensitive Contrastive Learning Model for Drug and Microbe Association Prediction.

It has been proven that the microbiome in human bodies can promote or inhibit the treatment effects ...

Integrating different approaches for the identification of new disruptors of HIV-1 capsid multimerization.

Human Immunodeficiency Virus (HIV) belongs to the Lentivirus genus, Retroviridae family, enveloped b...

Promptable segmentation of CT lung lesions based on improved U-Net and Segment Anything model (SAM).

BackgroundComputed tomography (CT) is widely used in clinical diagnosis of lung diseases. The automa...

Dissecting the genetic complexity of myalgic encephalomyelitis/chronic fatigue syndrome via deep learning-powered genome analysis.

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a complex, heterogeneous, and systemi...

Exploring the potential biomarkers and potential causality of Ménière disease based on bioinformatics and machine learning.

Meniere disease (MD) is a common inner ear disorder closely related to immune abnormalities, but res...

Identification of genetic indicators linked to immunological infiltration in idiopathic pulmonary fibrosis.

This study employed bioinformatics to investigate potential molecular markers associated with idiopa...

Exploring machine learning approaches for efficient image forgery detection.

In the digital age, accessible image manipulation raises concerns about authenticity, with forgery t...

Piezoelectric nanofiber-based intelligent hearing system.

Hearing loss, affecting individuals of all ages, can impair education, social function, and quality ...

Enhanced Language Models for Predicting and Understanding HIV Care Disengagement: A Case Study in Tanzania.

SUMMARY: Sustained engagement in HIV care and adherence to antiretroviral therapy (ART) are essentia...

A classification-occupancy model based on automatically identified species data.

Occupancy models estimate a species' occupancy probability while accounting for imperfect detection,...

[Artificial intelligence applications in Ménière's disease].

Ménière's disease(MD) is a common disorder of the inner ear. The fluctuating clinical symptoms and t...

Machine learning to improve HIV screening using routine data in Kenya.

INTRODUCTION: Optimal use of HIV testing resources accelerates progress towards ending HIV as a glob...

Use of Artificial Intelligence in Scientific Writing.

Artificial Intelligence (AI) is revolutionizing various fields, including scientific writing, which ...

Generative AI and the profession of genetic counseling.

The development of artificial intelligence (AI) including generative large language models (LLMs) an...

A Machine Learning Model for Diagnosing Opportunistic Infections in HIV Patients: Broad Applicability Across Infection Types.

Opportunistic infections (OIs) are the leading cause of hospitalisation and mortality among Human Im...

Effects of artificial intelligence and virtual reality interventions in art therapy among older people with mild cognitive impairment.

OBJECTIVES: Integrating artificial intelligence and virtual reality into an art health program, this...

Artificial Intelligence-Guided Lung Ultrasound by Nonexperts.

IMPORTANCE: Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those wi...

Using Machine Learning Techniques to Predict Viral Suppression Among People With HIV.

BACKGROUND: This study aims to develop and examine the performance of machine learning (ML) algorith...

[Neural network for auditory speech enhancement featuring feedback-driven attention and lateral inhibition].

The processing mechanism of the human brain for speech information is a significant source of inspir...

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