Artificial Intelligence Medical Compendium

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

Showing 11,981 to 11,990 of 210,187 articles

Recent Advances in Omics and Genetic Tools in Schistosome Research and Control.

International journal for parasitology
Schistosomiasis is a neglected tropical disease posing a persistent threat to global health, particularly in endemic areas. Mass drug administration with praziquantel has substantially reduced disease burden, yet its limited efficacy against juvenile... read more 

Targeting dysregulated glycolysis in type 2 diabetic osteoporosis: Identification of a diagnostic gene signature and therapeutic validation of calcifediol.

Life sciences
Type 2 diabetic osteoporosis (T2DOP) is a significant complication of type 2 diabetes, characterized by an increased risk of fractures. While dysregulated bone cell glucose metabolism is implicated, its specific mechanisms are unclear. This research ... read more 

Identifying critical windows of apparent temperature exposure and male serum reproductive hormone levels.

Environmental research
Although previous studies have suggested that environmental temperature may influence male reproductive hormone levels, evidence regarding the association between apparent temperature exposure and male reproductive hormones remains limited and incons... read more 

AI and longevity medicine: unlocking predictive and preventive strategies for healthy aging.

Presse medicale (Paris, France : 1983)
Longevity medicine is transforming healthcare by shifting the focus from disease treatment toward the preservation of function, resilience, and healthspan. In parallel, artificial intelligence (AI) has emerged as a powerful catalyst accelerating this... read more 

Paravertebral Muscle Fat Infiltration and Other Imaging Predictors of Cement Nonunion Following Percutaneous Kyphoplasty: A Multivariable Modeling Study.

World neurosurgery
OBJECTIVE: To identify risk factors for postoperative cement nonunion in patients with OVCF and to develop prediction models for clinical risk stratification. METHODS: A retrospective cohort of 237 patients with primary OVCF was analyzed, including 1... read more 

Computational fluid dynamics and machine learning modeling of drug delivery by hydroxypropyl methylcellulose.

International journal of pharmaceutics
This study integrates computational fluid dynamics (CFD) simulations with machine learning (ML) models to develop a framework for predicting drug release from hydroxypropyl methylcellulose (HPMC) matrices. Transient, three-dimensional CFD models were... read more 

Machine learning-assisted carbon dot sensing for iron speciation in Auricularia auricula soaking solutions under various processing conditions.

Food chemistry
Accurate iron speciation in Auricularia auricula soaking solution is essential for evaluating nutritional quality, as bioavailability depends on its valence state (Fe2+/ Fe3+). Herein, a machine learning-assisted fluorescent sensing strategy based on... read more 

Artificial Intelligence-Enhanced Electrogenerated Chemiluminescence Imaging for Single-Molecule Detection.

Analytical chemistry
Ultrasensitive detection of protein biomarkers at lower concentrations is critical but remains a challenge. Here, an artificial intelligence (AI)-enhanced electrogenerated chemiluminescence (ECL) imaging method was developed for single-molecule detec... read more 

Biobanking in the Era of Artificial Intelligence: Convergence, Challenges, and Opportunities.

Biopreservation and biobanking
Artificial intelligence (AI) is advancing rapidly, transforming biomedical research and health care through software applications ranging from diagnostics to drug discovery. Biobanking resides at a unique intersection of this technological transforma... read more