Prevention

Establishment of prediction equations for available energy values of sorghum in broilers using machine learning and stepwise regression methods.

This study aimed to determine the available energy values of sorghum for Arbor Acres (AA) broilers and to develop and compare prediction equations using multivariate linear stepwise regression (MLSR) and machine learning-based linear regression (LR). It is important to clarify that the LR used in this study is fundamentally a linear regression model. The primary difference from MLSR lies in the va...

Use of Continuous Glucose Monitoring With Machine Learning to Identify Metabolic Subphenotypes and Inform Precision Lifestyle Changes.

The classification of diabetes and prediabetes by static glucose thresholds obscures the pathophysiological dysglycemia heterogeneity, primarily driven by insulin resistance (IR), β-cell dysfunction, and incretin deficiency. This review demonstrates that continuous glucose monitoring (CGM) and wearable technologies enable a paradigm shift toward non-invasive, dynamic metabolic phenotyping. We show...

Geometry-engineered hourglass-shaped cracks enable wide-linearity wearable strain sensors.

Flexible and stretchable strain sensors have attracted growing interest for applications in health monitoring and human-machine interfaces. Convention...

Nephrology: What You May Have Missed in 2025.

This article highlights some important nephrology studies published in 2025 that are relevant for many nonnephrologist physicians. Two studies examine...

Development and Validation of a Web Calculator for Predicting the Risk of Lower Limb Varicose Veins.

The aims of the present study were to develop and validate a predictive model for lower limb Varicose Veins, and to visualize the results using a web ...

Beyond Linearity: Transfer Learning Reveals Optimal Biochar Surface Area Window and Suggests Potential Syntrophic Mechanisms in Food Waste Co-Digestion.

UNLABELLED: Anaerobic co-digestion of food waste and paper mill wastewater offers a sustainable waste-to-energy solution, but performance instability ...

[Expert consensus on optimizing the multidisciplinary clinical pathways and management models for pulmonary function testing].

The promotion and application of pulmonary function tests (PFTs) in China have achieved preliminary success;however, numerous deficiencies persist in ...

Association between aspirin use and mortality in critically ill patients with heart failure: a retrospective study using the MIMIC-IV database.

BACKGROUND: Despite the established antithrombotic benefits of aspirin in cardiovascular disease, its efficacy remains controversial for critically il...

Heavy metal exposure and dental caries in children and adolescents: a NHANES-based analysis integrating machine learning approaches.

BACKGROUND: Dental caries remains a major public health concern among children and adolescents. While established risk factors such as diet and oral h...

Baseline pain, fatigue, and sleep quality predict 12-week pain improvement in inflammatory arthritis: retrospective real-world analysis of a digital health application cohort.

UNLABELLED: Despite advances in pharmacotherapy, many patients with inflammatory arthritis (IA) experience residual pain even in remission. Digital he...

Neuroplasticity after Stroke: Adaptive and Maladaptive Mechanisms in Evidence-Based Rehabilitation.

BACKGROUND AND PURPOSE: Ischemic stroke remains a leading cause of long-term disability and persistent motor deficits. While neuroplasticity drives po...

Enabling ankle-brachial index prediction from doppler sounds using deep learning.

The ability to perform accurate point-of-care assessment of limb perfusion is critical for safe clinical decision-making. A formal ankle-brachial inde...

Preparing Physicians for Tomorrow's Practice: Contemporary Practice Competencies as a Framework for Technology-Driven Change.

Medical education has long relied on stable, high-level program objectives to articulate the outcomes of undergraduate medical training. These objecti...

Associations between digital healthy diet literacy, artificial intelligence attitudes, mediterranean diet adherence, and health-related quality of life in adults.

Integrated Strategies for Nursing and Rehabilitation in Lung Cancer Patients.

This review delineates the pivotal role of nursing and rehabilitation in perioperative management and chemotherapy support for lung cancer patients, w...

Using Machine Learning to Design Effective Antimicrobial Dosing Regimens.

Resistant bacterial infections remain a major clinical challenge, often necessitating combination therapy, namely use of two or more antibiotics with ...

A novel machine learning model of smartphone-based 1-minute sit-to-stand test for prediction of six-minute walk test distance in patients with COPD.

BACKGROUND: Regular assessment of exercise tolerance is essential for managing COPD, nevertheless, the standard 6-Minute Walk Test (6MWT) is difficult...

From statistics to deep learning in single-molecule fluorescence resonance energy transfer analysis.

Single-molecule fluorescence resonance energy transfer (smFRET) is a versatile technique for studying biomolecular dynamics and function by detecting ...

EHR-derived cognitive load is associated with guideline-concordant statin initiation in primary care.

INTRODUCTION: Linking electronic health record (EHR) use to care quality may offer insights into potential interventions improving guideline adherence...

Advancing cardiovascular disease diagnosis with an interpretable and responsible AI framework.

Cardiovascular disease (CVD) remains a leading global health threat, responsible for one in five deaths worldwide. Early detection is critical to miti...