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Infection control / Modes of transmission

Latest AI and machine learning research in infection control / modes of transmission for healthcare professionals.

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Showing 967-987 of 5,083 articles
Label-free urinary protein detection through machine learning analysis of single droplet evaporation patterns.

BACKGROUND: Chronic kidney disease (CKD) is a major global public health issue, with a steadily incr...

Automated atomic force microscopy analysis using convolutional and recurrent neural networks.

Atomic force microscope (AFM) indentation allows high-resolution spatial characterization of biomech...

Self-adaptive hybrid data-model optimization for secure end-to-end radio-over-fiber transmission.

A novel self-adaptive secure end-to-end (E2E) transmission approach is proposed for a radio-over-fib...

Implementation of 400 Gbps quantum noise stream cipher encryption for 1520 km fiber transmission using end-to-end deep learning.

In the era of large models and big data, the security of optical fiber communication backbone networ...

Unveiling the systemic impact of airborne microplastics: Integrating breathomics and machine learning with dual-tissue transcriptomics.

Airborne microplastics (MPs) pose significant respiratory and systemic health risks upon inhalation;...

The role of AI-enabled health systems in the Jordanian context: the case of digital contact tracing apps.

PURPOSE: Digital health or digital healthcare, is a broad, multidisciplinary concept that includes c...

A hybrid PKI and spiking neural network approach for enhancing security and energy efficiency in IoMT-based healthcare 5.0.

In the rapidly evolving field of healthcare 5.0, the Internet of Medical Things (IoMT) is expected t...

An informed deep learning model of the Omicron wave and the impact of vaccination.

The Omicron (B.1.1.529) variant of SARS-CoV-2 emerged in November 2021 and has since evolved into mu...

Advancing low-cost air quality monitor calibration with machine learning methods.

Low-cost monitors for measuring airborne contaminants have gained popularity due to their affordabil...

Artificial intelligence (AI) use for personal protective equipment training, remediation, and education in health care.

BACKGROUND: Personal protective equipment (PPE) is a first-line transmission-based precaution for re...

Advancing Acoustic Droplet Vaporization for Tissue Characterization Using Quantitative Ultrasound and Transfer Learning.

Acoustic droplet vaporization (ADV) is an emerging technique with expanding applications in biomedic...

Meteorological and traffic effects on air pollutants using Bayesian networks and deep learning.

Traffic emissions have become the major air pollution source in urban areas. Therefore, understandin...

Deep learning-driven automated mitochondrial segmentation for analysis of complex transmission electron microscopy images.

Mitochondria are central to cellular energy production and regulation, with their morphology tightly...

Scalable and robust machine learning framework for HIV classification using clinical and laboratory data.

Human Immunodeficiency Virus (HIV) is a retrovirus that weakens the immune system, increasing vulner...

Deep Learning-Assisted 3D Pressure Sensors for Control of Unmanned Aerial Vehicles.

Accurately and reliably detecting and recognizing human body movements in real time, relaying approp...

Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy.

The increasing incidence of dengue virus (DENV) infections poses significant public health challenge...

From human hand joints to continuum robot: how articular surface morphology shapes flexibility and stability in template-based designs.

The design of continuum robots often involves a dilemma between flexibility and stiffness, where inc...

A Data-Driven Approach to Assessing Hepatitis B Mother-to-Child Transmission Risk Prediction Model: Machine Learning Perspective.

BACKGROUND: Hepatitis B virus (HBV) can be transmitted from mother to child either through transplac...

A Digital Score Based on Circulating-Tumor-Cells-Derived mRNA Quantification and Machine Learning for Early Colorectal Cancer Detection.

Circulating tumor cells (CTCs) serve as valuable biomarkers in tumor circulation, carrying essential...

Poisson random measure noise-induced coherence in epidemiological priors informed deep neural networks to identify the intensity of virus dynamics.

Differential equations-based epidemiological compartmental systems and deep neural networks-based ar...

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