Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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Highly efficient stacking ensemble learning model for automated keratoconus screening.

BACKGROUND: Despite extensive research on keratoconus (KC) detection with traditional machine learni...

Artificial intelligence for predicting the risk of bone fragility fractures in osteoporosis.

Osteoporosis is widespread with a high incidence rate, resulting in fragility fractures which are a ...

Prime editor-based high-throughput screening reveals functional synonymous mutations in human cells.

Synonymous mutations are generally considered neutral, while their roles in the human genome remain ...

AI-based large-scale screening of gastric cancer from noncontrast CT imaging.

Early detection through screening is critical for reducing gastric cancer (GC) mortality. However, i...

Unravelling the multifaceted actions of neurosteroids: Machine learning and in vitro screening for novel target discovery.

BACKGROUND AND PURPOSE: Neurosteroids (NS) modulate neuronal function and are promising therapeutic ...

Big data and cardiovascular risk-insights into obesity, diabetes, and coronary heart disease.

BACKGROUND: Cardiovascular diseases (CVD) remain a major global health burden. Obesity and type 2 di...

Patient acceptability of CITOBOT for cervical cancer screening: A mixed-method study.

This study assessed the acceptability of CITOBOT, a device for early cervical cancer screening in a ...

The early prediction of neonatal necrotizing enterocolitis in high-risk newborns based on two medical center clinical databases.

: Early identification and timely preventive interventions play an essential role for improving the ...

Interpretable machine learning insights into the association between PFAS exposure and diabetes mellitus.

BACKGROUND: Diabetes Mellitus (DM) is a global health concern with rising prevalence, and its link t...

Towards a comprehensive characterization of arteries and veins in retinal imaging.

Retinal fundus imaging is crucial for diagnosing and monitoring eye diseases, which are often linked...

Effectiveness and safety of AI-driven closed-loop systems in diabetes management: a systematic review and meta-analysis.

BACKGROUND: Diabetes is a metabolic disease that can lead to severe cardiovascular diseases and neur...

Inflammation-related 5-hydroxymethylation signatures as markers for clinical presentations of coronary artery disease.

BACKGROUND: Coronary angiography remains the gold standard for diagnosing coronary artery disease (C...

Association rule mining of the human gut microbiome.

The human gut carries a vast and diverse microbial community that is essential for human health. Und...

Structure-based screening of small-molecule interleukin-23 inhibitors inspired by monoclonal antibody interactions.

Interleukin-23 (IL-23) is a key driver of chronic inflammatory diseases, yet current therapies rely ...

Machine learning-based QSAR and molecular modeling identify promising PTP1B modulators from Ocimum gratissimum for type 2 diabetes therapy.

Protein tyrosine phosphatase 1B (PTP1B) is a key negative regulator of insulin signaling and a promi...

Lipidomic profiling of human adiposomes identifies specific lipid shifts linked to obesity and cardiometabolic risk.

BACKGROUNDObesity, a growing health concern, often leads to metabolic disturbances, systemic inflamm...

Obesity Biomarkers: Exploring Factors, Ramification, Machine Learning, and AI-Unveiling Insights in Health Research.

Biomarkers play a pivotal role in the detection and management of diseases, including obesity-a grow...

Identification of potent inhibitors of potential VEGFR2: a graph neural network-based virtual screening and study.

VEGFR2 is a transmembrane tyrosine kinase receptor expressed on vascular endothelial cells and is cl...

Artificial Intelligence-Based Methods: The Path Forward in Achieving Equity in Lung Cancer Screening and Evaluation.

Although lung cancer remains a global threat to public health, evidenced based advances in screening...

Disease entity impacts muscle wasting in the ICU with COVID-19 patients losing muscle nearly twice as fast.

Muscle loss in critically ill patients, particularly during prolonged ICU stays, poses significant c...

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