Primary Care

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

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Preventive and therapeutic strategies via health care delivery system to minimize sight-threatening diabetic retinopathy: a narrative review.

PURPOSE OF REVIEW: To highlight various preventive and therapeutic strategies via health care delive...

Linking autism risk genes to morphological and pharmaceutical screening by high-content imaging: Future directions and opinion.

Next-generation sequencing has identified risk genes with large effect sizes for autism spectrum dis...

Direct-to-Consumer Testing: Relevance for Diabetes Therapy.

The performance of laboratory measurements by the people with diabetes (PwD) themselves ("direct-to-...

Disparate Model Performance and Stability in Machine Learning Clinical Support for Diabetes and Heart Diseases.

Machine Learning (ML) algorithms are vital for supporting clinical decision-making in biomedical inf...

Synthesizing Research in Sport and Exercise: Transitioning to Real-World Data and Data Science.

The American Society of Biomechanics (ASB) Jim Hay Memorial Award recognizes individuals for their o...

Screening of Biomaterials for Stem Cell Culture Applications.

Stem cells have a considerable role to play in future biomedical breakthroughs due to their therapeu...

Causal Discovery Analysis Reveals Insights into Psychosis Proneness, Brain Function, and Environmental Factors among Young Individuals.

Experiencing mild symptoms of psychosis, like delusions and hallucinations, occurs sometimes in gene...

Screening of bioactive compounds and deep learning-driven quality control of Angong Niuhuang pills.

ETHNOPHARMACOLOGICAL RELEVANCE: Angong Niuhuang Pills (AGNHP), a famous Chinese medicine compound pr...

Identification of macrophage-associated diagnostic biomarkers and molecular subtypes in gestational diabetes mellitus based on machine learning.

Gestational diabetes mellitus (GDM) is a common metabolic disorder during pregnancy, involving multi...

Leveraging pulse wave signal properties for coronary artery calcification screening in CKD patients.

BACKGROUND AND AIMS: Chronic kidney disease (CKD) patients are particularly susceptible to coronary ...

Evaluating the relationship between environmental chemicals and obesity: Evidence from a machine learning perspective.

Environmental chemicals are increasingly recognized as important contributors to obesity, yet the nu...

Screening of glioma susceptibility SNPs and construction of risk models based on machine learning algorithms.

BACKGROUND: Glioma is a common primary malignant brain tumor. This study aimed to develop a predicti...

Interpretable machine learning models for predicting childhood myopia from school-based screening data.

This study assessed the efficacy of various diagnostic indicators and machine learning (ML) models i...

Performance of CAD4TB artificial intelligence technology in TB screening programmes among the adult population in South Africa and Lesotho.

There is growing evidence of the performance accuracy and potential impact of Computer-Aided Diagnos...

An AI-assisted fluorescence microscopic system for screening mitophagy inducers by simultaneous analysis of mitophagic intermediates.

Mitophagy, the selective autophagic elimination of mitochondria, is essential for maintaining mitoch...

Out-of-distribution reject option method for dataset shift problem in early disease onset prediction.

Machine learning is increasingly used to predict lifestyle-related disease onset using health and me...

Enhancing Antidiabetic Drug Selection Using Transformers: Machine-Learning Model Development.

BACKGROUND: Diabetes affects millions worldwide. Primary care physicians provide a significant porti...

Skin cancer segmentation and classification by implementing a hybrid FrCN-(U-NeT) technique with machine learning.

Skin cancer is a severe and rapidly advancing condition that can be impacted by multiple factors, in...

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