Artificial Intelligence Medical Compendium

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

Showing 1,951 to 1,960 of 200,546 articles

Enhydrin from yacon attenuates atherosclerosis by modulating the FABP5/PPARγ/ABCA1 axis: An integrated multi-omics and in vivo validation.

Biochimica et biophysica acta. Molecular and cell biology of lipids
Dysregulated lipid metabolism drives atherosclerosis (AS). Yacon, an Andean lipid-modulating tuber, exerts anti-AS potential, but mechanisms remain unclear. We integrated network pharmacology, machine learning, single-cell RNA sequencing (scRNA-seq),... read more 

European Science for Health Research Needs and Priorities.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
The European research landscape for developing new diagnostic, preventive, and therapeutic interventions is fraught with challenges. Scarcity of qualified talent, limited funding for laboratories and research infrastructure, geopolitical competition,... read more 

Multi-task deep learning for sub-clinical screening of mood and sleep disturbances using physical activity biomarkers.

Journal of affective disorders
BACKGROUND: Sub-clinical screening for mood disorders and sleep disturbances remains challenging due to limited accessibility of mental health screening. Physical activity patterns serve as accessible biomarkers reflecting psychological wellbeing, of... read more 

Advances in rapid microbiological testing for animal diseases: A review.

Journal of microbiological methods
Animal pathogenic microorganisms destabilize livestock economies and jeopardize human health through zoonotic transmission and foodborne illness. Traditional culture-based detection methods, while standardized, are time-consuming and labor-intensive,... read more 

Advances in Clinical Imaging and AI Integration for Dry Eye Diagnosis.

The American journal of pathology
Dry eye disease (DED) is a prevalent multifactorial chronic disorder of the ocular surface, characterized by a loss of tear film homeostasis and accompanied by ocular symptoms such as dryness, fatigue, and visual impairment. The complex pathophysiolo... read more 

Machine Learning-Based Prediction of Treatment Success, Postoperative Pain, and Analgesic Use After Full Pulpotomy in Permanent Molars with Symptomatic Irreversible Pulpitis.

Journal of endodontics
INTRODUCTION: This study aimed to develop and evaluate machine learning (ML) models for predicting treatment success, postoperative pain, and analgesic use following full pulpotomy (FP) in permanent molars with symptomatic irreversible pulpitis (SIP)... read more 

Artificial Intelligence Chatbots' Performance on Dental Trauma Case-based Queries: Examining the Effect of Prompt and Content Engineering.

Journal of endodontics
INTRODUCTION: Traumatic dental injuries (TDIs) require prompt and accurate guidance, yet little is known about how the prompting influences the quality of artificial intelligence (AI) chatbot responses in these situations METHODS: Four dental trauma ... read more 

Metabolic interactions of host-gut microbiota: Shaping the future of precision diagnosis and therapeutic discovery in gastrointestinal cancers.

Pharmacological research
This collection of reviews and research articles highlights the diagnostic and therapeutic potential of gut microbial metabolites across various gastrointestinal cancers, including but not limited to hepatobiliary and pancreatic cancers, gastric canc... read more 

A Multidimensional Integrated Strategy for Identifying Anti-thrombotic Quality Markers(Q-Markers) in Taohong Siwu Decoction through Combined Analysis of Chemical Profiling, Bioactivity, and Pharmacodynamic Efficacy.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Taohong Siwu Decoction (TSD), originating from the Qing Dynasty medical text Gynecology Ice Mirror, is a representative formula for treating blood stasis syndrome, with the effects of promoting blood circulation, nouri... read more 

Integration of network pharmacology, deep learning, and molecular biology reveals the efficacy of Citrus aurantium L. var. amara Engl. blossom extract in ameliorating diabetic osteoporosis.

Journal of ethnopharmacology
ETHNOPHARMACOLOGICAL RELEVANCE: Diabetic osteoporosis (DOP) is a type of metabolic bone disease. Blossom of Citrus aurantium L. var. amara Engl. (CAVA), a medicinal and edible herb widely employed in China which can alleviate indigestion and replenis... read more