Public Health & Policy

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

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(How) Do Health Shocks Reallocate Research Direction?

We examine whether research systems reallocate scientific effort as health needs change. We assemble...

Disparities, Perceived Discrimination, and Patient-Clinician Communication in Alcohol Use Disorder Treatment: An All of Us Cohort Study

Background and Aims: Alcohol use disorder (AUD) remains a major public health concern, with persiste...

Insulin resistance modifies longitudinal multi-omics responses to habitual diet

How habitual diet influences the gut microbiome and plasma metabolome across insulin resistance stat...

Inferring unobserved vector dynamics for dengue forecasting using physics-informed neural networks and mechanistic transmission models

Accurately characterising mosquito infection dynamics is essential for effective dengue prevention a...

Data-Driven Multimodal Subtyping Reveals Differential Cognitive Risk and Treatment Effects in the All of Us Cohort

INTRODUCTION: Cognitively unimpaired (CU) adults show substantial variation in their risk of develop...

Wastewater-informed neural compartmental model for long-horizon case number projections

Wastewater-based epidemiology provides a low-cost, scalable view of community infection dynamics, bu...

One-Shot Crowd Counting With Density Guidance For Scene Adaptaion

Crowd scenes captured by cameras at different locations vary greatly, and existing crowd models have...

An AI Agent for Automated Causal Inference in Epidemiology

Abstract Objective: To address the inefficiency, subjectivity, and high expertise barrier of traditi...

Predictive Modeling of COVID-19 Variant Peak Prevalence and Duration Using GISAID Data Across 15 Countries

BackgroundRapid emergence and replacement of SARS-CoV-2 variants underscore the need for early and r...

Unseen Insights: An AI-Powered Exploration of Secure Patient Messages in Ophthalmology

Objective To characterize the clinical and administrative concerns communicated through secure ophth...

Bayesian neural networks enable inference of complex phylodynamic processes

Phylogenetic branching patterns carry essential information about population and diversification dyn...

Genomic Signatures and Prediction of Clinical Severity in Klebsiella pneumoniae infections in a Multicenter Cohort

Klebsiella pneumoniae is a major causative agent of hospital-acquired infections worldwide, contribu...

Predicting first-episode homelessness among US Veterans using longitudinal EHR data: time-varying models and social risk factors

Homelessness among US veterans remains a critical public health challenge, yet risk prediction offer...

Interpretable Lifestyle-Based Machine Learning Models for Ten-Year Cardiovascular Risk Prediction using data from the UK Biobank

Background: Cardiovascular diseases (CVDs) remain the leading global cause of morbidity and mortalit...

Real-World Data for Predicting Rapid Relapse Triple Negative Cancer: A Study Using NCDB and EHR Data

Background: Many patients with triple-negative breast cancer (TNBC), particularly those who are olde...

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