Public Health & Policy

Machine learning-based prediction of BV-relevant probiotic functional potential in vaginal-derived Lactobacillus crispatus strains.

The vaginal microbiota plays a pivotal role in maintaining female reproductive health and homeostasis. However, most currently available Lactobacillus isolates have been developed for the prevention and treatment of intestinal diseases, whereas strain-specific investigations targeting female reproductive health remain limited. Conventional cultivation and screening strategies are often associated ...

Supervised machine learning model to predict total knee replacement in a large osteoartrhitis real-world evidence dataset using retrospectively 20-year insurance data from Israel.

Artificial Intelligence-Driven Electrocardiogram Screening for Asymptomatic Left Ventricular Systolic Dysfunction in the General Population.

BACKGROUND: Asymptomatic left ventricular systolic dysfunction (LVSD) is a well-established precursor of overt heart failure (HF), yet it often remain...

Concordant and Fluid-Specific Glycosylation Alterations in Serum and Saliva Enable Non-Invasive Diagnosis of Colorectal Cancer.

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality, highlighting the need for accurate, noninvasive biomarkers. This study in...

Advancing Nursing Data Integration Through a Nursing Minimum Dataset for the Conceptual and Technical Development of a "Fall Prevention" Data Module: Development Study.

BACKGROUND: In aging populations, the demand for care, including care delivery in long-term care (LTC) facilities, is increasing. This situation highl...

Artificial Intelligence and the Future of Healthcare-Associated Infection Surveillance: Bridging Precision, Partnership, Practice, and People.

Using Generative Artificial Intelligence for Healthcare-Associated Infection Surveillance.

Generative artificial intelligence (GenAI) is becoming widespread in society but has had limited impact on medicine. GenAI can rapidly digest large do...

Longitudinal prediction of BMI using explainable AI: integrating polygenic scores, maternal, early-life and familial factors.

BACKGROUND/OBJECTIVES: This study aimed to predict body mass index (BMI) trajectories from childhood to early adulthood using explainable artificial i...

Machine Learning Prediction of Progression to Dialysis in Patients With Polycystic Kidney Disease: Population-Based Retrospective Cohort Study.

BACKGROUND: Autosomal dominant polycystic kidney disease (ADPKD), characterized by progressive cyst growth and renal decline, is the leading genetic c...

Development of death-risk score based on epidemiology of six mental disorders and application to mortality reduction via modifiable health behaviors.

OBJECTIVE: Prediction models for mortality rarely incorporate diverse psychiatric conditions, alongside clinical, behavioral, and demographic risk fac...

A pan-European assessment of multi-sector drivers of human hantavirus risk: climate, biodiversity, and socio-economic factors as key determinants.

The landscape of emerging zoonoses is being rapidly reshaped by concurrent climate change, environmental transformation, and biodiversity loss. These ...

Artificial intelligence as medical device in radiology in 2025: the regulatory scenario in the EU, USA, and China.

In the last decade, advanced AI methods were applied to radiology, providing tools for clinical practice. Regulations across countries are a relevant ...

An artificial intelligence approach to support adolescent suicide prevention initiatives in the United States.

Adolescent suicide remains a critical public health issue in the United States, with complex, interrelated risk and protective factors operating acros...

Immunoproteomic insights into inflammatory diseases of the critically endangered black rhinoceros (Diceros bicornis).

Black rhinoceros are critically endangered due to poaching in the wild (in situ). Globally, fewer than 200 animals are maintained as an ex situ insura...

Global distribution, pathogen spectrum, and invasion potential of Hyalomma anatolicum at the human-livestock interface: A systematic review, meta-analysis, and ecological niche modeling.

Hyalomma anatolicum is an efficient vector at the human-livestock interface, yet its global ecological profile remains insufficiently defined. This st...

Toward AI foundation models for epidemics: Promise, challenges, and paths forward.

Foundation models-large AI systems pretrained on broad, heterogeneous data-are transforming scientific discovery. These models (e.g., GPT, GenCast, Al...

A selective machine learning algorithm for severe periodontitis labeling from questionnaire data.

Epidemiological cohorts often collect self-reported oral health (SROH) questionnaires but lack clinical periodontal measurements. We developed a selec...

Clustering of cardiovascular risk factors and their association with socio-demographic and lifestyle factors in middle-aged and older adults in rural northeast South Africa: Findings from HAALSI.

OBJECTIVES: This study examined patterns of clustering of intermediate risk factors for Cardiovascular diseases (CVDs) in a rural South African popula...

Sudden Cardiac Death Prevention in General Population Cohorts: Prospects Of Machine Learning.

[Care for uncontrolled asthma in Germany - with focus on Magdeburg and Mannheim regions].

Description of treatment and prescription patterns among asthma patients in the regions of Magdeburg (MD) and Mannheim (MA) compared nationwide.We ana...