Infectious Disease

ATP-Free Fatty Aldehyde Biosynthesis Enables an Autonomous Lux-Based Bioluminescence System

Autonomous bioluminescence systems enable continuous light emission in engineered organisms by genetically encoding both luciferase enzymes and their substrate biosynthetic pathways, offering a powerful platform for non-invasive and long-term monitoring of biological processes. However, bioluminescence output is highly sensitive to substrate availability and host metabolic state, often leading to ...

Exploratory Network Analysis of Oral Bacteria Taste Signaling Autophagy Crosstalk in Oral Squamous Cell Carcinoma and Multi-Target Ligand Design for the MAPK1 STAT3 mTOR Axis

G protein-coupled receptor (GPCR) signaling represents a critical interface between oral bacteria and host cellular regulation in oral squamous cell carcinoma (OSCC). Here, we integrated systems biology, exploratory machine learning, and structure-based drug design to characterize potential associations between bacteria related signaling and autophagy and to identify candidate therapeutic targets....

Estimating Time-Inhomogeneous Transition Probabilities from District Level Daily COVID-19 Transmission Data in Sierra Leone

Abstract: Compartmental epidemic models conventionally treat the probability of moving between dis ease states as fixed over time, an assumption that ...

CXR-Retrieve: Compositional Text-to-Image Retrieval in Chest Radiography

Large chest radiography archives are difficult to search because most studies are paired only with free-text reports rather than structured clinical a...

Toward Multi-Modal Deep Learning for Pulmonary Disease Classification: A Texture-Based Machine Learning Pilot Study on Public Chest X-Ray Data

Automated classification of pulmonary disease from chest radiographs is a widely studied application of machine learning in medical imaging. This pape...

Shared Semantic Codebook Distillation for Unpaired Cross-Modal Medical Classification

Cross-modal knowledge distillation can transfer diagnostic knowledge from a strong but costly teacher modality to a cheaper and more deployable studen...

Classification of Disease from Lungs X-ray Images using VGG16, VGG19 and ResNet50 Models

With the increase in the number of cases related to respiratory diseases, there is an urgent need to detect them early and diagnose them accurately. C...

CalTwin: Towards Calibrated, Shift-Robust Medical World Models via Fisher-Information Regularisation

Medical world models aim to learn a latent state of patient or organ physiology and a transition function that forecasts how that state evolves under ...

TREA-Net: A Transferable Residual Epidemiological Adaptation Network for Dengue Incidence Forecasting

Accurate multi-week dengue forecasting supports timely vector-control interventions, outbreak preparedness, and healthcare resource allocation. Howeve...

Computational evolutionary approach to generate antimicrobial peptides

As a consequence of the overuse of conventional antibiotics, there is currently an unprecedented increase in antibiotic resistance in newer generation...

Predicting Tungiasis Hotspots in Western Kenya Using Machine Learning and Explainable Artificial Intelligence

Tungiasis, a parasitic skin disease affecting millions across sub-Saharan Africa, remains one of the most neglected tropical diseases despite its subs...

Deep learning enables cross-species annotation and attribution of ageing states in haematopoietic stem and immune cells

Cross-species transfer is a central bottleneck in single-cell ageing research: mouse studies provide experimentally tractable age labels, whereas huma...

Flash-CNNCap: Capacitance Extraction via Image Mapping

We present Flash-CNNCap, a CNN-based capacitance extractor that reformulates full-matrix capacitance prediction as image-to-image regression over spat...

Diagnostic Performance of Fluorescence-Based Rapid On-Site Specimen Evaluation for Helicobacter pylori Antimicrobial Susceptibility Testing Before and After Algorithm Optimization: A Two-Round Comparative Study

Objective This study was designed to evaluate the diagnostic performance of fluorescence-based rapid on-site specimen evaluation (F-ROSE) for antimicr...

Learning shared forecast-error structure to improve ensemble forecasts of seasonal respiratory outbreaks

Real-time forecasts of seasonal respiratory outbreaks are critical for public health preparedness and healthcare planning. Multi-model ensembles, whic...

The Mechanism Matters: When Knowledge Graphs Help Reinforcement Learning

Knowledge graphs (KGs) are widely used to inject prior knowledge into reinforcement learning (RL), yet the literature is dominated by single-domain, p...

Aligning Reinforcement Learning with Clinical Practice for Safe Decision Support in Pediatric Sepsis

Offline reinforcement learning (RL) has emerged as a promising framework for clinical decision support in sepsis, yet most existing studies focus excl...

Diversity and evolution of the transcriptional regulatory networks of Pseudomonas strains revealed using machine learning

The genus Pseudomonas consists of diverse and ecologically significant species that form close associations with both plants and animals. This genus i...

Death in People with Down syndrome: Mortality statistics and novel predictors in US Medicaid and Medicare enrolled adults.

People with Down syndrome have higher age-specific mortality rates compared to the general population as well as peers with other intellectual and dev...

Trustworthy Protein-Ligand Binding Affinity Prediction via Reliability-Aware Multi-Engine Fusion

Accurate protein-ligand binding affinity prediction is central to computational drug discovery, yet modern docking engines frequently disagree without...