Public Health & Policy

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

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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...

Improving Medicare Fraud Detection Accuracy in Deep Learning by Exploring Feature Selection and Data Sampling Techniques.

Fraud in the health landscape is an aggravating issue, with far-reaching consequences burdening the ...

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...

AgentDS Technical Report: Benchmarking the Future of Human-AI Collaboration in Domain-Specific Data Science

Data science plays a critical role in transforming complex data into actionable insights across nume...

Starting Off on the Wrong Foot: Pitfalls in Data Preparation

When working with real-world insurance data, practitioners often encounter challenges during the dat...

Reinforcement Learning for Antibiotic Stewardship: Optimizing Prescribing Policies Under Antimicrobial Resistance Dynamics

Antimicrobial resistance (AMR) threatens antibiotic effectiveness, but quantitatively evaluating ste...

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 ...

IConE: Batch Independent Collapse Prevention for Self-Supervised Representation Learning

Self-supervised learning (SSL) has revolutionized representation learning, with Joint-Embedding Arch...

TornadoNet: Real-Time Building Damage Detection with Ordinal Supervision

We present TornadoNet, a comprehensive benchmark for automated street-level building damage assessme...

Automated Segmentation of Intracranial Arteries on 4D Flow MRI for Hemodynamic Quantification

Accurate vessel segmentation is essential for reliable hemodynamic quantification in 4D Flow MRI. Au...

Sex-stratified Integrated Analysis of US lung Cancer Mortality, 1994-2020

Importance: Lung cancer mortality in the United States has fallen substantially in recent decades, y...

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