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Universal precautions

Latest AI and machine learning research in universal precautions for healthcare professionals.

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MPNN-CWExplainer: An enhanced deep learning framework for HIV drug bioactivity prediction with class-weighted loss and explainability.

AIMS: Human Immunodeficiency Virus (HIV) remains a critical global health concern due to its impact ...

Deep learning-driven insights into the transmission dynamics of hepatitis B virus with treatment.

Viral infections have spread globally, profoundly affecting social and economic aspects of life and ...

Dual-Channel Catalytic Immunochromatography Empowered by Machine Learning: Ultrasensitive Detection of O157:H7 via Magnetic CoFeO@HRP Nanocomposites.

Traditional immunochromatographic test strips face significant limitations in detecting trace levels...

Real-time detection and localization of honeycomb defects in concrete pillars using hybrid deep learning models.

This paper presents a hybrid model based on deep learning for the detection and instance segmentatio...

Associations between weight gain, integrase inhibitors antiretroviral agents, and gut microbiome in people living with HIV: a cross-sectional study.

Dolutegravir and bictegravir are second-generation HIV integrase strand transfer inhibitors (INSTIs)...

Construction and validation of HBV-ACLF bacterial infection diagnosis model based on machine learning.

OBJECTIVE: To develop and validate a novel diagnostic model for detecting bacterial infections in pa...

AI-driven analysis by identifying risk factors of VL relapse in HIV co-infected patients.

Visceral Leishmaniasis (VL), also known as Kala-Azar, poses a significant global public health chall...

Artificial intelligence derived grading of mustard gas induced corneal injury and opacity.

Artificial intelligence (AI) has emerged as a transformative tool in ophthalmology for disease diagn...

Leveraging federated learning and edge computing for pandemic-resilient healthcare.

The universal demand for the development and deployment of responsive medical infrastructure and dam...

Language models learn to represent antigenic properties of human influenza A(H3) virus.

Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and...

Personalized azithromycin treatment rules for children with watery diarrhea using machine learning.

We use machine learning to identify innovative strategies to target azithromycin to the children wit...

Python-driven impedance profiling on peptide-functionalized biosensor for detection of HIV gp41 envelope protein.

UNLABELLED: This study presents the first label-free impedimetric biosensor for the detection of HIV...

Integrating multi-omics and machine learning for disease resistance prediction in legumes.

Multi-omics assisted prediction of disease resistance mechanisms using machine learning has the pote...

Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer.

Deep neural networks often suffer from poor generalization due to complex and non-convex loss landsc...

HEalth Record Optimization for Identifying Candidates for HIV PRe-Exposure Prophylaxis: A Community-Informed Approach to Model Development.

Electronic health record (EHR)-based models to identify individuals who may benefit from pre-exposur...

A Wearable AI-Driven Mask with Humidity-Sensing Respiratory Microphone for Non-Vocal Communication.

Hoarseness and dysphonia caused by vocal cord conditions or laryngeal surgeries significantly hinder...

AntiBMPNN: Structure-Guided Graph Neural Networks for Precision Antibody Engineering.

Antibodies are crucial for medical applications, yet traditional methods for designing sequences are...

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