Infectious Disease

Public Health

Latest AI and machine learning research in public health for healthcare professionals.

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Predicting highly pathogenic avian influenza H5N1 outbreak risk using extreme weather and bird migration data in machine learning models

Background. Climate change is intensifying extreme weather events (EWEs) with potentially profound c...

MedResearchBench: A Multi-Domain Benchmark for Evaluating AI Research Agents on Clinical Medical Research

The rapid advancement of AI research automation systems--including AI Scientist, data-to-paper, and ...

Deciphering Environmental Health Factors Behind Unknown Etiology of Chronic Kidney Disease in South Asia: Plans for Epidemiologic Study

Chronic kidney disease of unknown etiology (CKDu) has emerged as an important public health challeng...

faers: A High-Fidelity Framework and R/Bioconductor Package for Precision Adverse Event Surveillance

Background: The FDA Adverse Event Reporting System (FAERS) is a critical pillar of post-marketing ph...

Classification of Recurrence Status After Surgical Treatment of Chronic Subdural Hemorrhage - A Machine Learning Approach

Background Chronic subdural hematoma (cSDH) recurrence requiring reoperation occurs in 5-33% of case...

Predicting Infant Nonattendance at the Next Recommended Well-Child Visit: Model Development and Validation

BackgroundWell-child visits (WCVs) are essential for preventive care, yet missed appointments often ...

SDD-YOLO: A Small-Target Detection Framework for Ground-to-Air Anti-UAV Surveillance with Edge-Efficient Deployment

Detecting small unmanned aerial vehicles (UAVs) from a ground-to-air (G2A) perspective presents sign...

Learning relationships in epidemiological data using graph neural networks

When designing control strategies for an infectious disease it is critical to identify the key pathw...

Resolving gradient pathology in physics-informed epidemiological models

Physics-informed neural networks (PINNs) are increasingly used in mathematical epidemiology to bridg...

Climate-Informed Deep Learning for Spatio-Temporal Forecasting of Climate-Sensitive Diseases

Effective public health planning and intervention strategies necessitate an understanding of the tem...

ForeSea: AI Forensic Search with Multi-modal Queries for Video Surveillance

Despite decades of work, surveillance still struggles to find specific targets across long, multi-ca...

Predictive and Seasonal Dynamics of the Human Wastewater Virome

Wastewater-based epidemiology provides a scalable, noninvasive framework for population-level infect...

PRIME-CVD: A Parametrically Rendered Informatics Medical Environment for Education in Cardiovascular Risk Modelling

In recent years, progress in medical informatics and machine learning has been accelerated by the av...

A Machine Learning Approach to Defining and Predicting the Scale of Typhoid Fever Outbreaks

Despite improvements in access to clean water and sanitation, typhoid fever outbreaks continue to ca...

Ancestral state reconstruction with discrete characters using deep learning

Ancestral state reconstruction is a classical problem of broad relevance in phylogenetics. Likelihoo...

HViLM: A Foundation Model for Viral Genomics Enables Multi-Task Prediction of Pathogenicity, Transmissibility, and Host Tropism

Motivation: The emergence of novel viral pathogens poses critical threats to global health, yet curr...

Spatiotemporal Patterns and Climate-Driven Forecasting of Scrub Typhus: Evidence from South India.

Scrub typhus remains a persistent public health concern with strong spatial and temporal variability...

A Machine Learning Framework for Constructing Heterogeneous Contact Networks: Implications for Epidemic Modelling

Capturing the structured mixing within a population is key to the reliable projection of infectious ...

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