Public Health & Policy

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

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Spatio-temporal machine learning for multi-horizon prediction of bluetongue outbreaks

Reliable early warning of infectious disease outbreaks remains a major challenge for surveillance sy...

A digital twin for hospital antimicrobial resistance forecasting and constrained intervention optimisation

Hospital antimicrobial resistance (AMR) emanates from an array of complex interactions between patie...

Climatic suitability for leishmaniasis at global and European scales

Leishmaniasis, a climate-sensitive zoonotic neglected tropical disease, is transmitted by Phlebotomi...

Predicting Distant Melanoma Metastasis at Diagnosis Using Machine Learning

Distant melanoma metastasis at the time of diagnosis is uncommon, but has major implications for pat...

Learning from Drops: AI-Guided Integration of Liquid Biopsy Features in Cancer Studies

Cancer is a major global health issue with rising incidence and mortality. Early detection, tumor ch...

Simulating population compliance with pandemic interventions using large language models

Effective pandemic response requires accurate modeling of population compliance with non-pharmaceuti...

Prediction of Rectal Cancer Regrowth from Longitudinal Endoscopy

Clinical trial studies indicate benefit of watch-and-wait (WW) surveillance for patients with rectal...

Mobile Traffic Camera Calibration from Road Geometry for UAV-Based Traffic Surveillance

Unmanned aerial vehicles (UAVs) can provide flexible traffic surveillance where fixed roadside camer...

Machine learning cross-platform proteomic imputation enables protein quality scoring and replication of epidemiological associations

High-throughput affinity-based proteomics has advanced biomedical research, yet fundamental, persist...

Simpler is not always better: Phylodynamic misspecification and deep-learning corrections

Phylodynamics bridges the gap between epidemiology and pathogen genetic data by estimating epidemiol...

Enhancing dengue diagnosis and surveillance by integrating machine learning technologies with the NS1 rapid test kit

Background. Dengue has been a major health threat globally in recent years. In particular, dengue in...

Species-specific transformer models of bacterial gene order and content for genomic surveillance tasks

Transformer models enable functionally meaningful representation of complex biological data, such as...

Scalable machine learning improves resistance prediction and identifies novel determinants in Mycobacterium tuberculosis

Multidrug-resistant and extensively drug-resistant Mycobacterium tuberculosis (MTB) represents a gro...

Validation of an AI-Assisted Framework for Systematic Bias Assessment in Observational Studies

Background: The rapid expansion of medical literature has led to substantial variability and frequen...

CladePredictor - MPXV: An alignment-free Artificial Intelligence-based classifier of complete and partial mpox virus genomes

Poxviruses constitute a threat to human health. Since 2022, two public health emergencies of interna...

Generative diffusion models for spatiotemporal influenza forecasting

Forecasting infectious disease incidence can provide important information to guide public health pl...

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