Preventive Care

Formulation and stability design spaces for a new yellow fever vaccine.

Yellow fever (YF) is a life-threatening disease that is entirely preventable through vaccination. The objective of this study was to formulate a freeze-dried presentation of a live-attenuated, Vero cell-based yellow fever vaccine (vYF) with improved manufacturability and enhanced shelf-life. Considering four critical quality attributes (i.e., glass transition temperatures and infectious titers at ...

Comparative analysis of artificial intelligence models for predicting oil viscosity in the in-situ catalytic oil upgrading process: a study of influential parameters.

Given the increasing demand for efficient technologies in heavy-oil recovery and upgrading, methods that can reduce viscosity and improve oil mobility are of considerable interest. Heavy oils are difficult to produce and process because of their high viscosity and density, as well as their elevated contents of asphaltenes, heteroatoms, and heavy metals. Although thermal and chemical recovery metho...

Artificial intelligence for detection, prediction, and severity classification of diabetic peripheral neuropathy: a systematic review.

BACKGROUND: Diabetic peripheral neuropathy (DPN) is a common complication of diabetes and an important contributor to foot ulceration and lower limb a...

Nursing Leadership for Digital NICU Transformation: A Systematic Review of Strategies, Digital Health Integration, and Outcomes in High-Risk Neonates.

BACKGROUND: Digital health technologies are increasingly embedded in Neonatal Intensive Care Units (NICUs), yet the role of nurse-led governance in sh...

Colorectal Cancer Screening in Hereditary and Familial High-Risk Populations: Best Practices and Future Directions.

Colorectal cancer (CRC) remains a leading cause of cancer-related morbidity and mortality worldwide yet is largely preventable through effective scree...

From Brain to Blood: Point-of-Care Detection of Biomarkers in Neurological Diseases.

Neurological diseases (NDs) continue to be a leading cause of disability and mortality worldwide, largely due to delayed diagnosis and limited access ...

Performance of AI in Predicting the Progression of Gestational Diabetes to Type 2 Diabetes: Systematic Review and Meta-Analysis.

BACKGROUND: Gestational diabetes mellitus (GDM) significantly increases the risk of developing type 2 diabetes mellitus (T2DM) post partum, with up to...

Deep Learning-Enabled Robust Regional Lung Function Assessment in Mechanically Ventilated AECOPD Patients Using EIT Parameters.

Reliable quantification of regional lung function via electrical impedance tomography (EIT) in mechanically ventilated AECOPD patients requires identi...

A multimodal artificial intelligence system integrating facial expression voice emotion and behavioral movement analysis for assessing social-emotional competence in preschool children.

Early identification of social-emotional difficulties in preschool children is critical for timely intervention, yet conventional assessment methods f...

Development and validation of a novel multimodal deep neural network model based on CBC digit parameters and scattergrams for rapid hematolymphoid malignancy classification: a multicenter cohort study.

BACKGROUND: Rapid screening of hematolymphoid malignancies (HMs) by complete blood cell count (CBC) is crucial for choosing the next appropriate worku...

Enhancing the Effectiveness of Attention-Deficit/Hyperactivity Disorder Screening Using the SNAP-IV: A Deep Learning Approach.

Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental condition requiring early and accurate identification to optimize outco...

Global Geospatial Trends in Breast Cancer and Atrial Fibrillation/Flutter Among Older Women: Uncovering Shared Epidemiological Patterns and Etiological Links.

BACKGROUND: Breast cancer (BC) and atrial fibrillation (AF) represent increasing global health burdens with shared risk factors. However, their coinci...

Virus infections and cancers: from mechanisms to therapeutics.

Viral infections are a major contributor to global cancer incidence and mortality. However, integrative reviews that connect viral classification, car...

Service Robots as Work Support for Health Personnel in Long-Term Care: Protocol for a Scoping Review.

BACKGROUND: Demographic shifts are increasing the global demand for long-term care services, coinciding with a worldwide shortage of health care perso...

Physics-informed, uncertainty-aware surrogate screening of gamma-ray attenuation in lead-free multicomponent oxide glasses.

Lead-free multicomponent oxide glasses are attractive candidates for gamma-ray shielding because their attenuation behavior can be tuned through compo...

Evaluating the role of youth-onset diabetes mellitus in the context of food insecurity and preventive care: a repeated cross-sectional study using propensity score weighted machine learning analysis.

BACKGROUND: Youth-onset diabetes mellitus (DM) is an increasing public health concern, especially among adolescents facing socioeconomic challenges. F...

Development of a target product profile for artificial intelligence in diabetic eye screening in England: a modified Delphi consensus study.

Artificial intelligence (AI) health-care technologies offer a means of addressing the growing gap between health-care capacity and demand. However, fe...

Predicting COVID-19 severity using machine learning: the role of clinical parameters, blood groups, and vaccination status across age groups.

OBJECTIVES: COVID-19 has had strong impacts on both global health systems and economies. Therefore, understanding disease severity and progression is ...

Risk prediction for lung cancer screening: a systematic review and meta-regression.

BACKGROUND: Lung cancer (LC) remains the deadliest cancer, often diagnosed at advanced stages. Screening reduces mortality in high-risk individuals. E...

Evaluation of a sleep sound analysis smartphone app for home obstructive sleep apnea screening among community-dwelling Chinese adults with hypertension.

PURPOSE: This study aimed to evaluate the validity and feasibility of home obstructive sleep apnea screening using a sleep sound analysis smartphone a...