Latest AI and machine learning research in public health & policy for healthcare professionals.
The rapid advancement of AI research automation systems--including AI Scientist, data-to-paper, and ...
Chronic kidney disease of unknown etiology (CKDu) has emerged as an important public health challeng...
Background: The FDA Adverse Event Reporting System (FAERS) is a critical pillar of post-marketing ph...
Background Chronic subdural hematoma (cSDH) recurrence requiring reoperation occurs in 5-33% of case...
Background: Experiences of violence are reported frequently by mental health service users, victims ...
Detecting small unmanned aerial vehicles (UAVs) from a ground-to-air (G2A) perspective presents sign...
When designing control strategies for an infectious disease it is critical to identify the key pathw...
Physics-informed neural networks (PINNs) are increasingly used in mathematical epidemiology to bridg...
Effective public health planning and intervention strategies necessitate an understanding of the tem...
Despite decades of work, surveillance still struggles to find specific targets across long, multi-ca...
Wastewater-based epidemiology provides a scalable, noninvasive framework for population-level infect...
In recent years, progress in medical informatics and machine learning has been accelerated by the av...
Despite improvements in access to clean water and sanitation, typhoid fever outbreaks continue to ca...
Ancestral state reconstruction is a classical problem of broad relevance in phylogenetics. Likelihoo...
Fraud in the health landscape is an aggravating issue, with far-reaching consequences burdening the ...
Motivation: The emergence of novel viral pathogens poses critical threats to global health, yet curr...
Scrub typhus remains a persistent public health concern with strong spatial and temporal variability...
Data science plays a critical role in transforming complex data into actionable insights across nume...
When working with real-world insurance data, practitioners often encounter challenges during the dat...
Artificial intelligence (AI)-enabled digital interventions, including Generative AI (GenAI) and Huma...
Antimicrobial resistance (AMR) threatens antibiotic effectiveness, but quantitatively evaluating ste...