Infectious Disease

Latest AI and machine learning research in infectious disease for healthcare professionals.

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Clinical evaluation of a multiplex droplet digital PCR for diagnosing suspected bloodstream infections: a prospective study.

BACKGROUND: Though droplet digital PCR (ddPCR) has emerged as a promising tool for early pathogen de...

A machine learning-based analysis for the effectiveness of online teaching and learning in Pakistan during COVID-19 lockdown.

BackgroundThe COVID-19 pandemic has significantly disrupted daily life and education, prompting inst...

Multistage deep learning for classification of Helicobacter pylori infection status using endoscopic images.

BACKGROUND: The automated classification of Helicobacter pylori infection status is gaining attentio...

Decoding the blueprint of receptor binding by filoviruses through large-scale binding assays and machine learning.

Evidence suggests that bats are important hosts of filoviruses, yet the specific species involved re...

Leveraging dynamics informed neural networks for predictive modeling of COVID-19 spread: a hybrid SEIRV-DNNs approach.

A dynamics informed neural networks (DINNs) incorporating the susceptible-exposed-infectious-recover...

A cross-sectional study of parental perspectives on children about COVID-19 and classification using machine learning models.

BACKGROUND AND OBJECTIVE: This study delves into the parenting cognition perspectives on COVID-19 in...

Exploring prognosis and therapeutic strategies for HBV-HCC patients based on disulfidptosis-related genes.

BACKGROUND: Hepatocellular carcinoma (HCC) accounts for over 80% of primary liver cancers and is the...

Innovative antifungal strategies: enhanced biofilm inhibition of by a modified tea tree oil formulation.

INTRODUCTION: is a significant human pathogen with the ability to form biofilms, a critical factor ...

Characterizing the microbiome recruited by the endangered plant in phosphorus-deficient acidic soil.

Phosphorus (P)-deficient soils serve as crucial habitats for endangered plant species. Microbiomes p...

HIV OctaScanner: A Machine Learning Approach to Unveil Proteolytic Cleavage Dynamics in HIV-1 Protease Substrates.

The rise of resistance to antiretroviral drugs due to mutations in human immunodeficiency virus-1 (H...

E-DFu-Net: An efficient deep convolutional neural network models for Diabetic Foot Ulcer classification.

The Diabetic Foot Ulcer (DFU) is a severe complication that affects approximately 33% of diabetes pa...

Artificial neural network-driven modeling of Ebola transmission dynamics with delays and disability outcomes.

This study develops an Artificial Neural Network (ANN)-based framework to model the transmission dyn...

Robotic Microcapsule Assemblies with Adaptive Mobility for Targeted Treatment of Rugged Biological Microenvironments.

Microrobots are poised to transform biomedicine by enabling precise, noninvasive procedures. However...

Diagnosis and prognosis of melanoma from dermoscopy images using machine learning and deep learning: a systematic literature review.

BACKGROUND: Melanoma is a highly aggressive skin cancer, where early and accurate diagnosis is cruci...

Hierarchical graph-based integration network for propaganda detection in textual news articles on social media.

During the Covid-19 pandemic, the widespread use of social media platforms has facilitated the disse...

Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model.

PURPOSE: Drug-induced liver injury (DILI) is one of the most common and serious adverse drug reactio...

Machine Learning-Assisted High-Throughput Screening of Nanozymes for Ulcerative Colitis.

Ulcerative colitis (UC) is a chronic gastrointestinal inflammatory disorder with rising prevalence. ...

Comparative diagnostic accuracy of ChatGPT-4 and machine learning in differentiating spinal tuberculosis and spinal tumors.

BACKGROUND: In clinical practice, distinguishing between spinal tuberculosis (STB) and spinal tumors...

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