Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 3,121 to 3,130 of 202,937 articles

Epigenetic reprogramming of tissue-resident memory T cells in chronic inflammatory disorders and implications for targeted therapies.

Epigenomics
BACKGROUND: Tissue-resident memory T (TRM) cells play a role in causing long-term tissue injury in chronic inflammatory diseases via pathological epigenetic reprogramming. Nevertheless, the epigenetic processes that cause this malfunction have not be... read more 

Body composition phenotyping of obesity in children aged 6-18 years: multi-strategy clustering and interpretable machine learning.

Annals of human biology
BACKGROUND: Body composition heterogeneity in childhood obesity is not fully captured by BMI, motivating operational phenotyping using non-invasive measures. AIM: To identify body composition-based phenotypes of obesity in children aged 6-18 years us... read more 

Ethical and Legal Challenges of Partially and Fully Autonomous AI in Healthcare: Reinterpreting Liability and Preserving Trust.

Bioethics
Artificial intelligence (AI) is increasingly embedded in healthcare in a variety of ways, ranging from semi-autonomous decision support systems to the various visions of completely autonomous clinical systems. This article explores the ethical and le... read more 

Toward a Synthetic Data Revolution: Diffusion Model-Enhanced Hepatocellular Carcinoma Prediction in Steatotic Liver Disease.

Hepatology research : the official journal of the Japan Society of Hepatology
AIM: Steatotic liver disease (SLD) encompasses a heterogeneous spectrum with varying risks of hepatocellular carcinoma (HCC). Limited sample sizes limit the development of predictive models, particularly for rare outcomes. This study evaluated whethe... read more 

Leveraging Artificial Intelligence in Allergy, Asthma, and Immunology With Environmental Exposures.

Allergy
Artificial intelligence (AI) in environmental health science is revolutionizing data analysis and problem-solving approaches. These technologies facilitate the prediction of environmental exposures and disease outcomes and enable the identification o... read more 

A Data-Driven Normalization Framework for Subject-Specific Cerebrovascular Reactivity Assessment in Cerebrovascular Disease.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Assessment of cerebrovascular reactivity (CVR) has been reported using acetazolamide-augmented blood oxygenation level-dependent (BOLD) MRI; however, wide intersubject baseline variability can complicate interpretation. PURPOSE: To develo... read more 

Extracellular Vesicles in Exhaled Breath Condensate as Emerging Biomarkers in Lung Cancer.

American journal of physiology. Cell physiology
Exhaled breath condensate (EBC) has emerged as a noninvasive liquid biopsy medium that captures aerosolized material from the respiratory tract and may provide insight into local lung biology. Within this matrix, extracellular vesicles (EVs) can carr... read more 

Epigenetic and genetic insights for tailored therapeutic strategies in multiple sclerosis.

Personalized medicine
Multiple sclerosis (MS) is a complex neurological disorder with inflammation, demyelination, and neurodegeneration in the CNS. Disease-modifying therapies (DMTs) exist, but their efficacy is limited by MS's varied nature, highlighting the need for pe... read more 

Impact of nanocarrier mediated drug delivery systems: a deep dive into therapeutics and clinical management of breast cancer.

Nanomedicine (London, England)
Breast cancer (BC) is the most frequently diagnosed malignancy and the leading cause of cancer-related death among women worldwide. The therapeutic limitations of conventional treatment modalities are due to systemic toxicity, multidrug resistance (M... read more