Latest AI and machine learning research in public health & policy for healthcare professionals.
BACKGROUND: Longitudinal proteomic studies on hypertension remain scarce. We evaluated the epidemiological associations of circulating proteins with hypertension on the basis of the UK Biobank (UKB) and public GWAS-summary data in this study. METHODS: This study included 22 788 participants without hypertension on baseline and 2910 plasma proteins from the UKB. The competing risk regression and Me...
Phthalates (PAEs) are widely used plasticizers that are increasingly linked to tumorigenesis. In this study, we integrated network toxicology and machine learning to elucidate the potential mechanisms of PAEs in lung squamous cell carcinoma (LUSC). By integrating multi-database target prediction, The Cancer Genome Atlas Program (TCGA) transcriptomic analysis, and algorithmic screening, four key ge...
Food allergy is a big concern in food safety. Thermal processing is an effective approach to tackle it, but the method might significantly diminish th...
While children with suicidal ideation or non-suicidal self-injury (NSSI) are at high risk of suicide, most do not attempt suicide. This study aims to ...
OBJECTIVE: To provide a structured narrative review of current evidence and future directions for artificial intelligence (AI) applications in the ter...
As clients increasingly use generative artificial intelligence for emotional support, psychologists now deal with unfamiliar ethical challenges that g...
The 2022 global outbreak of clade IIb mpox represented a turning point in public health's handling of poxviruses. The primary vaccine available for th...
BACKGROUND: Declines in childhood vaccination in the U.S. have contributed to a resurgence of vaccine-preventable diseases, including a notable increa...
RATIONALE AND OBJECTIVES: To evaluate whether large language models (LLMs) can generate accurate, clinically valid, and usable letters to appeal insur...
BackgroundDigital technologies are reshaping leadership in nursing, making it essential to understand how digital leadership relates to attitudes towa...
OBJECTIVES: To develop a random survival forest (RSF) machine learning (ML) model for predicting venous thromboembolism (VTE) risk in rheumatoid arthr...
Ductal Carcinoma In Situ (DCIS) is a non-obligate precursor of invasive breast cancer. Due to a lack of reliable prognostic markers, nearly all women ...
BACKGROUND: Long-term follow-up is essential for patients with abdominal aortic aneurysms (AAAs). Our health system implemented an AAA surveillance pr...
CONTEXT.—: In the routine practice of pathology, cutting deeper levels into paraffin blocks of colorectal polypectomy specimens that do not show a les...
INTRODUCTION: Postoperative sepsis after pancreatoduodenectomy (PSPD) remains a major determinant of morbidity and mortality. Although extensive clini...
INTRODUCTION: The prevalence of Parkinson's disease (PD) has increased globally, especially in China, and emerged as a critical public health challeng...
OBJECTIVE: To assess long-term trends, regional disparities, determinants, and quality of care for type 2 diabetes mellitus (T2DM) among women aged 55...
BACKGROUND: More than 20% of perinatal women experience depression, with suicide being a leading cause of maternal death in the United States. Profess...
BACKGROUND: Cybersecurity attacks in healthcare have increased in number and severity over the last decade. Healthcare targets are ten times more valu...
The global rise of antimicrobial resistance (AMR), particularly methicillin-resistant Staphylococcus aureus (MRSA), poses a major health challenge, de...