Artificial Intelligence Medical Compendium

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

Showing 67,801 to 67,810 of 232,834 articles

Quantitative CT of emphysema, wall thickness and mucus plugs in alpha-1-antitrypsin deficiency: relationship to clinical outcomes.

European radiology
OBJECTIVES: Alpha-1-antitrypsin deficiency (AATD) is a rare genetic disorder leading to chronic obstructive pulmonary disease (COPD). Emphysema is the major structural damage visible on CT scans. However, there is little knowledge on the association ... read more 

CoREST complex inhibition alters RNA splicing to promote neoantigen expression and enhance tumor immunity.

JCI insight
Epigenetic macromolecular enzyme complexes tightly regulate gene expression at the chromatin level and have recently been found to colocalize with RNA splicing machinery during active transcription; however, the precise functional consequences of the... read more 

Dual-modality adaptation in vision-language models for continual learning.

Neural networks : the official journal of the International Neural Network Society
Continual learning is a crucial capability for deep-learning models in real-world applications, enabling them to acquire new knowledge while avoiding catastrophic forgetting. With advances in large-scale pre-trained models, recent methods have begun ... read more 

Segmentation of the right ventricular myocardial infarction in multi-centre cardiac magnetic resonance images.

Medical image analysis
Right ventricular myocardial infarction (RVMI) is associated with higher in-hospital morbidity and mortality. Cardiac magnetic resonance (CMR) imaging provides crucial pathological information for diagnosis and/or treatment of RVMI. Segmentation of R... read more 

Use of human data for risk assessment of pesticides: A review including an evaluation of trichlorfon as case study.

Regulatory toxicology and pharmacology : RTP
Pesticides are suspected to cause health effects in humans, but human-based data on their toxicity are often insufficient to establish associations and quantify risks. We reviewed literature on trichlorfon and investigated methodological aspects of r... read more 

Noninvasive detection and differentiation of gastric malignancy using cell-free DNA biomarkers.

Journal of advanced research
INTRODUCTION: Gastric cancer remains a major global health burden, with high mortality driven by late-stage diagnoses that limit treatment options and reduce survival. Current diagnostic methods such as endoscopy and biopsy are invasive, resource-int... read more 

Integrative metabolomics and machine learning reveal diagnostic biomarkers for gelsenicine intoxication.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Gelsemium elegans Benth. (G. elegans) is a highly toxic medicinal plant traditionally used to treat pain and inflammatory disorders. Accidental ingestion or misuse often causes severe poisoning and death, primarily due... read more 

Advancements in the study of exosomes in disease diagnosis and treatment.

International journal of pharmaceutics
Exosomes are small, membrane-enclosed vesicles that can originate from a variety of sources and contain a wealth of material. They are involved in physiological processes such as cell-cell communication, cell migration, and anti-tumor immunity, and a... read more 

Machine learning-driven insights into the mechanical performance of polymeric microneedle array patches.

Journal of controlled release : official journal of the Controlled Release Society
With growing interest in microneedle technology for enhancing transdermal drug delivery, the current body of literature provides a valuable data reservoir for understanding and predicting mechanical performance - a critical prerequisite for microneed... read more