Public Health & Policy

From combination early detection to multicancer testing: shifting cancer care toward proactive prevention and interception.

Identifying the presence of tumors at a very early stage or deciphering the process underlying their...

Coupling wastewater-based epidemiology with data-driven machine learning for managing public health risks.

Traditional health surveillance methods play a critical role in public health safety but are limited...

A Multi-kernel CNN model with attention mechanism for classification of citrus plants diseases.

One of the primary challenges leading to a significant reduction in agricultural production is the p...

AI-ECG for early detection of atrial fibrillation: First-year results from a stroke prevention study in Shimizu, Japan.

BACKGROUND: An artificial intelligence algorithm-guided electrocardiogram (AI-ECG) has been develope...

Ultrasound Imaging and Machine Learning to Detect Missing Hand Motions for Individuals Receiving Targeted Muscle Reinnervation for Nerve-Pain Prevention.

Targeted muscle reinnervation (TMR) was initially developed as a technique for bionic prosthetic con...

Automated identification of spotted-fever tick vectors using convolutional neural networks.

Ticks are key ectoparasites for the One Health approach, as they are vectors of pathogens that infec...

Evolving Role of Artificial Intelligence in Endoscopic Management of Inflammatory Bowel Disease: Diagnosis, Surveillance, and Assessment.

Inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis, presents substan...

Developing Nationwide Estimates of Built Environment Quality Characteristics Using Street-View Imagery and Computer Vision.

Environmental health studies commonly rely on urban composition measures for built environment expos...

Deep learning-driven insights into the transmission dynamics of hepatitis B virus with treatment.

Viral infections have spread globally, profoundly affecting social and economic aspects of life and ...

Smart-Plexer 2.0: Leveraging New Features of Amplification Curves to Enhance the Selection of Multiplex PCR Assays in Multi-Target Identification.

Multiplex PCR plays a critical role in diagnostics by enabling the detection of multiple targets in ...

Crisis-line workers' perspectives on AI in suicide prevention: a qualitative exploration of risk and opportunity.

BACKGROUND: Crisis support services offer crucial intervention for individuals in acute distress, pr...

Predicting quality measure completion among 14 million low-income patients enrolled in medicaid.

Low-income populations have disproportionately low completion of recommended healthcare services, fr...

Comparative study of five-year cervical cancer cause-specific survival prediction models based on SEER data.

Cervical cancer (CC) is a major cause of mortality in women, with stagnant survival rates, highlight...

Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data.

Knee injuries are common in several people, frequently controlling for significant injuries and heal...

Iron metabolism and preeclampsia: new insights from bioinformatics analysis.

OBJECTIVE: Preeclampsia (PE) is a multifactorial systemic pregnancy disease, in which iron metabolis...

Transforming heart transplantation care with multi-omics insights.

Heart transplantation (HTx) remains the definitive treatment for patients with end-stage heart disea...

Risk factors and prediction of distant metastasis (DM) of colon adenocarcinoma: a logistic regression and machine learning study based on surveillance, epidemiology, and end results (SEER) database.

Deep learning for occupation recognition and knowledge discovery in rheumatology clinical notes.

Occupational data is a crucial social determinant of health, influencing diagnostic accuracy, treatm...

Mapping global risk of bat and rodent borne disease outbreaks to anticipate emerging threats.

Future epidemics and/or pandemics may likely arise from zoonotic viruses with bat- and rodent-borne ...

Machine learning and transformer models for prediction of postoperative pneumonia risk in patients with lower limb fractures.

Postoperative pneumonia, a prevalent complication arising from lower limb fracture surgery, can sign...

PM concentration 7-day prediction in the Beijing-Tianjin-Hebei region using a novel stacking framework.

High-precision prediction of near-surface PM concentration is a significant theoretical prerequisite...