Infection control / Modes of transmission

Dengue vector niche modeling with future SSP climatic scenarios over India using the machine learning-based MaxEnt model.

Dengue remains a major mosquito-borne public-health threat, and climate change is expected to reshape the geographic suitability of its principal vectors. We developed India-wide species distribution models for Aedes aegypti and Aedes albopictus using a presence-background MaxEnt framework driven by high-resolution (~ 1 km) CHELSA bioclimatic predictors. Occurrence records were compiled from GBIF ...

Novel machine learning-based approach to identify viral biomarkers of human respiratory emissions from oral and nasal metagenomes.

Humans spend approximately 90% of their lives in built environments, making virus transmission indoors a key determinant of health. Environmental sampling of respiratory viral pathogens is often challenging because of frequent non-detect measurements. Non-detect measurements do not differentiate between samples containing low or no pathogens from samples that simply lack respiratory expulsions alt...

Towards transparent and interpretable screening: multi-biofluid FTIR spectroscopy with LLM-Augmented explainability for pancreatic cancer detection.

Early detection of pancreatic cancer remains a critical challenge in oncology, with current diagnostic methods often failing to identify the disease u...

[Expert consensus on optimizing the multidisciplinary clinical pathways and management models for pulmonary function testing].

The promotion and application of pulmonary function tests (PFTs) in China have achieved preliminary success;however, numerous deficiencies persist in ...

Identifying mitochondria-related signatures for tuberculosis diagnosis through machine learning on single-cell transcriptomics data and experimental verification.

Tuberculosis (TB) remains a major cause of infectious disease mortality. Early diagnosis is crucial for curbing transmission and initiating timely tre...

The emergence of superficial dermatophytosis due to Trichophyton indotineae and Trichophyton mentagrophytes genotypes VII and II* in New York: a need for comprehensive testing approaches.

We report a rapid increase in dermatophyte infections in New York City and surrounding counties from 2022 to 2024. Reported cases include 135 of Trich...

Hybrid CNN-decision tree framework for efficient transmission line fault detection and classification: an XAI-based approach.

Accurate, fast, and interpretable fault identification on electrical transmission lines is essential for maintaining power system stability and reduci...

Study on mmage defect recognition and classification of power transmission equipment based on lightweight model residual Mamba.

Image defect detection of power transmission and transformation equipment is a key technology in the operation and maintenance of power systems, which...

DGAE: Dynamic Graph Convolutional Network for Multi-Slice Spatial Transcriptomics Alignment and Enhancement.

Spatial transcriptomics (ST) helps us understand cell interactions, developmental processes, and disease progression within tissues by analyzing gene ...

Prediction of on-field rugby scrummaging contact forces from videos using artificial neural networks.

Rugby is a contact sport with a high risk of injury. Scrums are a key component of the game and represent a collision event associated with serious in...

Infectious medical waste characterization using X-ray transmission with Machine learning.

In Germany, around 425,400 Mg of specially healthcare-related waste is generated annually, of which 2.4% (10,100 Mg) is infectious (EWC 18 01 03*). It...

Assessment of Telemedicine Perceptions, Usability, and Implementation Barriers Among Physicians in Kazakhstan Using the Telehealth Usability Questionnaire-Model for Assessment of Telemedicine-Kazakhstan Version (TUQ-MAST-KZ) Questionnaire: Pilot Cross-Sectional Survey Study.

BACKGROUND: Health care professionals' perceptions of telemedicine, its usability, and the presence of organizational barriers are important determina...

YOLO-Drop: A Deep Learning Model Enabling Accurate, High-Throughput Image Analysis for Droplet Digital Immunoassay at Attomolar Concentrations.

Ultrasensitive detection of low-abundance protein biomarkers is essential for early disease diagnosis and therapeutic monitoring. While droplet digita...

Simultaneous analysis of miRNA and 16S rDNA by a multiplex droplet digital PCR system for body fluid source identification.

Forensic body fluid identification, crucial for crime scene reconstruction, is often limited by sample scarcity and degradation. Hence, there is growi...

Assessing plague risk across seven decades of environmental change in Inner Mongolia, China: An interpretable machine learning.

Plague, caused by Yersinia pestis, persists as a public health threat, particularly in natural foci such as China's Inner Mongolia Autonomous Region. ...

Ultrasound synthetic aperture imaging with SpecularNet for enhanced needle visualization.

PURPOSE: Ultrasound imaging has been routinely used for needle guidance due to its real-time capability and cost-efficiency. However, conventional ult...

Quantifying airborne vessel noise on large rivers: A novel approach combining acoustic drifters and machine learning.

Vessel noise in large rivers poses a growing threat to riparian ecosystems and human communities, yet its large-scale airborne distribution remains po...

Predicting Staphylococcus aureus spa Types Using MALDI-TOF Mass Spectrometry and Machine Learning.

Staphylococcus aureus is a leading cause of intramammary infections (IMI) in Canadian dairy herds and is frequently isolated from both clinical and su...

Exploring novel kinetics of automated H2O2 nebulization: a breakthrough in SARS-CoV-2 elimination.

Although hydrogen peroxide (H2O2) nebulization has shown promise for reducing SARS-CoV-2 loads in healthcare settings, its precise kinetics and real-w...

Efficacy of swine Influenza A virus vaccines on transmission, viral shedding and clinical signs: Systematic review and meta-analysis.

Swine influenza A viruses (swIAV) are a major cause of respiratory disease in pigs, and vaccination remains the main control strategy. The objective o...