Infectious Disease

Synonymous mutations in viral evolution and vaccine design.

Synonymous mutations, long regarded as evolutionarily neutral, are increasingly recognized as important determinants of viral evolution and adaptation. In this review, we propose that viral codon usage reflects a multi-objective optimization process shaped by competing evolutionary constraints, positioning synonymous variation as a key layer of translational control with direct implications for vi...

A real-time early warning system to anticipate respiratory disease outbreaks using transfer learning.

Respiratory disease outbreaks burden American healthcare systems with over one million hospitalizations annually, yet current surveillance systems lag 1-2 weeks behind real-time conditions, preventing timely intervention. We present a machine learning early warning system that combines Google search trends with traditional epidemiological data using ensemble voting algorithms to predict outbreak t...

Shear strength of light weight concrete elements model based on deep neural network and COVID-19 optimization.

Predicting the shear strength of concrete elements is a complex challenge influenced by numerous factors, with the type of concrete playing a decisive...

Viral pneumonia detection during the COVID-19 pandemic using deep learning and DCGAN-based data augmentation.

Deep learning has shown strong potential for automated chest X-ray analysis in the diagnosis of respiratory diseases. However, accurate detection of v...

A novel lexicon dictionary and CNN-LSTM employed hybrid approach for sentiment detection of COVID-19 vaccines.

With the rapid advancement of the internet, social media has become an integral part of human life. It provides a soothing platform for people to shar...

Prediction of HIV-1 sensitivity to broadly neutralizing antibodies using statistical distribution sampling (SDS) technology.

Accurately predicting HIV-1 sensitivity to broadly neutralizing antibodies (bNAbs) is a critical step in advancing the development of effective therap...

Comparative evaluation of deep learning architectures for microbial colony classification in microbiological imaging.

BACKGROUND: Visual interpretation of microbial colonies on agar plates is an essential task for experienced microbiologists. In high-throughput workfl...

Synthetic Inducible Bacteria Normalize the Microenvironment of Refractory Tumors, Potentiating Checkpoint Inhibitor Responses.

Immunotherapy has transformed cancer treatment but remains ineffective in many solid tumors, largely due to the immunosuppressive tumor microenvironme...

Photo Quiz: Parasite eggs detected by AI are not always what they are cracked up to be.

Targeting bacterial metal dependence: material design with computational frontiers.

Antimicrobial resistance (AMR) constitutes a profound global health crisis, necessitating the development of unconventional therapeutic targets. Bacte...

Artificial neural network optimization of gyrotactic microbes in water hybrid nanoliquid with carbon nanotubes using modified Hamilton crosser model.

The artificial neural network-optimized model for exploring local thermal non-equilibrium (LTNE) influences on gyrotactic microorganisms in a chemical...

Global whole-genome, phylodynamic, and machine-learning analysis of Glaesserella parasuis serovars 2, 5, and 12.

Glaesserella parasuis is a respiratory pathogen of swine and the causative agent of Glässer's disease. Among the 15 serotypes, serotypes 2, 5, and 12 ...

Reinforcing the Arsenal: Advanced Antibiotic Adjuvants as Strategic Disruptors of Bacterial Defenses.

The global crisis of bacterial antimicrobial resistance poses a severe threat to public health and agricultural development. Multidrug-resistant patho...

Conditional Diffusion Model-Based Method for Annotation of Antibiotic Resistance Gene Properties.

The crisis of bacterial antibiotic resistance, which has led to a decline in the effectiveness of antibiotics originally used to combat bacterial infe...

BudFinder: A Masked Auto-Encoder vision transformer framework for yeast budding detection and lifespan quantification.

Studying replicative aging in yeast is a central component of aging research. Recent advances in time-lapse microscopy and microfluidics now enable co...

Use of on-farm culturing for clinical mastitis treatment decisions and antimicrobial use in Argentina.

Clinical mastitis (CM) is one of the main causes of antimicrobial use (AMU) in dairy cattle, and strategies that support selective therapy are essenti...

Assessing community resilience during the first COVID-19 wave peak in a megacity in eastern China: a cross-sectional study using social media data.

OBJECTIVES: In the face of pandemics resulting from infectious disease, improving community resilience has become increasingly vital. China's sudden e...

Explainable machine learning incorporating CHI3L1 enhances liver fibrosis staging in chronic hepatitis B: The CHILI multicenter study.

BACKGROUND: Identifying significant liver fibrosis (≥F2) is critical for initiating antiviral therapy in chronic hepatitis B (CHB). Chitinase-3-like p...

Supervised machine learning models for predicting sepsis-associated acute kidney injury in children: a real-world evaluation.

BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) substantially increases mortality. The recent Phoenix criteria have redefined pediatric seps...

Comparing the Effectiveness of Artificial Intelligence Technology with 6th Year Dental Students for the Diagnosis of Inflammatory Bone Lesions of the Mandible in Panoramic Radiography.

This study aimed to evaluate the potential role of artificial intelligence (AI) as a diagnostic support tool for inexperienced clinicians by comparing...