Infectious Disease

The Association Between Oral Microbiota and Chronic Obstructive Pulmonary Disease: An Integrated Study of Genetic Causal Inference and Bioinformatics Analysis

Chronic obstructive pulmonary disease (COPD) is the third leading cause of global mortality. Emerging evidence suggests the oral microbiome may contribute to COPD progression, though causal relationships remain elusive. Using bidirectional Mendelian randomization (MR) on East Asian genome-wide association study (GWAS) summary data, we assessed causal links between oral microbial taxa and COPD risk...

Integrating DHS/MIS Biomarkers with 34 Years of CHIRPS-NDVI Climate Data for Malaria Risk Prediction in Nigeria: A Machine Learning and Spatial Mapping Approach

The estimates of national disease risk are considerably limited by the time of conducted surveys and the geographical inadequacies in surveillance, notwithstanding malaria’s continued prominence in morbidity and mortality in Nigeria. There is limited research employing machine learning to integrate long term environmental trends with DHS/MIS biomarker data on a national scale, despite the establis...

LLM-Assisted Taxonomy and Temporal Analysis of Provider Questions About HIV in provider-to-provider telehealth

Ongoing education in HIV care is limited for many healthcare providers working in rural and non-academic settings, which can reduce patients’ access t...

Predicting Disease Progression in Critically Ill Patients Using Frequency-Enhanced Time-series Forecasting

Accurate disease progression prediction is vital for managing critically ill patients in intensive care. Existing deep learning approaches mainly oper...

TabGraphSyn: Graph-Guided Latent Diffusion for High-Fidelity and Privacy-Conscious Clinical Data Generation

The critical need for accessible patient data in clinical research is often hindered by privacy regulations and data scarcity. While synthetic data ge...

Single-Cell Nanomotion and Machine Learning for Parallel Bacterial Identification and Antibiotic Screening

Rapid and accurate identification of bacterial infections and their resistance to antibiotics is critical to effective clinical decision-making and co...

Estrogen upregulates NF-κB and TNF signaling in B cells to cause sex and age differences in antibody responses to seasonal influenza vaccination

Sex differences in the humoral immune responses to the seasonal quadrivalent influenza vaccine (QIV) in young adults (YA; 18-49yo) or high dose QIV in...

Advanced Spatio-Temporal Neural Networks for Malaria Prevalence Forecasting in Sub-Saharan Africa

Accurate malaria prevalence forecasting is critical for timely interventions in Sub-Saharan Africa, where the disease remains a major health burden. T...

Machine Learning for Urinary Tract Infection Prediction in Emergency Departments: An Explainable Approach

Urinary tract infections (UTIs) represent a substantial burden in emergency department (ED) settings, where diagnostic delays and the limitations of t...

Machine Learning-Driven Classification of Type 2 Diabetes Using Gut Microbiome Profiles for Enhanced Detection and Personalised Therapeutics

The purpose of the study is to investigate Type 2 Diabetes Mellitus (T2DM) progression and risk through investigating gut microbiome biomarkers, provi...

Spatial Temporal Attention based Target Vehicle Trajectory Prediction for Internet of Vehicles

Forecasting vehicle behavior within complex traffic environments is pivotal within Intelligent Transportation Systems (ITS). Though this technology ...

HIV multidrug class resistance prediction with a time sliding anchor approach.

MOTIVATION: The emergence of multidrug class resistance (MDR) in Human Immunodeficiency Virus (HIV) is a rare but significant challenge in antiretrovi...

Broad-spectrum coronavirus inhibitors discovered by modeling viral fusion dynamics.

Development of oral, broad-spectrum therapeutics targeting SARS-CoV-2, its variants, and related coronaviruses could curb the spread of COVID-19 and a...

Unveiling sub-populations in critical care settings: a real-world data approach in COVID-19.

BACKGROUND: Disease presentation and progression can vary greatly in heterogeneous diseases, such as COVID-19, with variability in patient outcomes, e...

An exploration of current and future vector-borne disease threats and opportunities for change.

Vector-borne diseases, including dengue, threaten the health and livelihoods of over 80% of the world's population, particularly in tropical and subtr...

Integrated transcriptomic analysis of COVID-19 stages and recovery: insights into key gene signatures, immune features, and diagnostic biomarkers through machine learning.

BACKGROUND: COVID-19 progression and recovery involve complex gene expression changes and immune dysregulation, but their dynamic alterations remain p...

Advancing Early Warning Systems for Malaria: Progress, challenges, and future directions - A scoping review.

Malaria Early Warning Systems (EWS) are predictive tools that often use climatic and other environmental variables to forecast malaria risk and trigge...

YOLOv8 framework for COVID-19 and pneumonia detection using synthetic image augmentation.

OBJECTIVE: Early and accurate detection of COVID-19 and pneumonia through medical imaging is critical for effective patient management. This study aim...

Construction of a predictive model for rebleeding risk in upper gastrointestinal bleeding patients based on clinical indicators such as infection.

BACKGROUND: The annual incidence of upper gastrointestinal hemorrhage (UGIB) is about 60 cases/100,000 people, and about 40% of UGIB patients have hem...

Integration of T cell repertoire, CyTOF, genotyping and symptomatology data reveals subphenotypic variability in COVID-19 patients.

COVID-19 manifests a broad spectrum of clinical outcomes, from asymptomatic cases to severe disease. While several biomarkers have been proposed, comp...