Latest AI and machine learning research in public health for healthcare professionals.
Tuberculosis (TB) outbreaks in the United States can cause substantial illness. Using surveillance and genotyping data, we applied a plausible source-case algorithm to identify TB cases reported during 2018-2020 responsible for secondary cases attributed to recent Mycobacterium tuberculosis transmission during 2020-2022. We used mixed models and a machine learning workflow to assess sociodemograph...
Across Africa, substantial investment has built national health information systems (HISs), including the surveillance platforms, reporting tools, and digital infrastructure through which health data flow. However, the health informatics capacity needed to sustain those systems remains fragile: trained health informaticians leave for better-resourced organizations, platforms fall into disrepair wh...
Antibiotic resistance genes (ARGs) in agricultural soils represent a major public health concern, as climate change is believed to augment their disse...
BACKGROUND: Child neglect, defined as a parent or guardian's failure to provide basic needs such as food, clothing, shelter, or medical care, is a wid...
OBJECTIVES: The increasing use of machine learning (ML) in clinical care makes fairness a central issue. Fairness, defined as the absence of dispariti...
OBJECTIVE: Home healthcare (HHC) clinical notes contain critical infection indicators that clinicians need in structured "indicator + context" pairs. ...
Multi-host pathogens vary in how they utilise different hosts, yet the traits determining which species occupy central positions in transmission netwo...
INTRODUCTION: Visual impairment and blindness continue to represent a substantial disease burden in Hungary. According to national epidemiological dat...
Using publicly accessible Reddit posts, we developed a manually annotated dataset for traditional and aspect-based sentiment analysis (ABSA) of cannab...
BACKGROUND: Adherence to guideline-based colonoscopy surveillance intervals remains suboptimal. Large language models (LLMs) show promise for automati...
The ability to reliably predict protective immunity against infectious diseases remains a central challenge in immunology, vaccine development, and pu...
Lumpy Skin Disease (LSD), caused by the Lumpy Skin Disease Virus (LSDV), which is a part of the family of Poxviridae, subfamily Chordopoxviridae, and ...
Advances in pediatric research have improved the lives of infants, children, adolescents, and society at large. A decade ago the American Academy of P...
BACKGROUND: Patients with advanced chronic kidney disease (CKD), defined as having an estimated glomerular filtration rate (eGFR) < 45 ml/min/1.73 m²,...
BACKGROUND: Patients with invasive breast cancer (IBC) account for the vast majority of breast cancer cases and exhibit significant heterogeneity; hen...
PROBLEM: Traditional epidemiological surveillance methods are often limited by delays in reporting and fragmented data systems. Saudi Arabia faces add...
The post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID, represent a multifaceted challenge in pediatric populations, characterized by s...
AIM: To identify and differentiate workload patterns across shifts and to provide evidence for optimizing nursing workforce allocation in emergency de...
Animal pathogenic microorganisms destabilize livestock economies and jeopardize human health through zoonotic transmission and foodborne illness. Trad...
Johne's disease (JD) is a chronic wasting disease of ruminants caused by Mycobacterium avium subspecies paratuberculosis (MAP). For decades, JD manage...