Artificial Intelligence Medical Compendium

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

Showing 28,451 to 28,460 of 219,260 articles

Colorectal cancer detection using noncontrast CT and deep learning: a multicenter and international cohort study.

Annals of oncology : official journal of the European Society for Medical Oncology
BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer deaths, with early screening vital to reduce mortality. While methods such as colonoscopy and computed tomography (CT) colonography are available, they face challenges such as bowel pre... read more 

Exploring the toxicological impact of perfluorooctanoic acid and perfluorooctane sulfonate on glioblastoma through network toxicology, machine learning, and multi-dimensional bioinformatics analysis.

Brain research bulletin
Exposure to perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) has been associated with the development of various malignant tumors. However, their roles and molecular mechanisms in glioblastoma (GBM) are still unclear. This study com... read more 

Transcriptome and single-cell RNA sequencing data identify and validate candidate biomarkers associated with lysosomal and ferroptosis in osteoarthritis.

Experimental gerontology
BACKGROUND: Osteoarthritis (OA) represents the most common degenerative joint disease, with emerging evidence linking it to lysosomal dysfunction and ferroptotic cell death. This study aimed to identify candidate biomarkers associated with lysosomal ... read more 

Spatiotemporal evolution and ecological risk assessment of heavy metals in agricultural black soils of Northeast China.

Environmental research
Black soils are globally important agricultural resources, yet comprehensive trans-provincial assessments of heavy metal contamination and its spatiotemporal dynamics under future scenarios remain scarce. This study assessed the spatiotemporal distri... read more 

Machine learning-driven multi-objective optimization of sustainable engineered cementitious composites: Balancing performance and CO2 reduction via municipal solid waste incineration bottom ash (MSWIBA).

Environmental research
This study addresses the dual challenge of enhancing the mechanical performance and environmental sustainability of Engineered Cementitious Composites (ECC) by replacing natural sand with Municipal Solid Waste Incineration Bottom Ash (MSWIBA). Fiftee... read more 

Artificial neural network-assisted thermokinetic modeling of sugarcane bagasse fast pyrolysis for enhanced bio-oil production.

Bioresource technology
This study explores the pyrolysis of sugarcane bagasse to produce valuable products such as bio-oil, char, and gas as part of a sustainable strategy for green energy generation and waste valorization. The sugarcane bagasse rotary screw pyro-oil react... read more 

AI/ML in drug product development & manufacturing - report on the 8th APV Winter conference.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
Artificial Intelligence and Machine Learning (AI/ML) have already revolutionized Drug Discovery. However, Chemistry, Manufacturing, and Controls (CMC) remains in "digital infancy". This report from the 8th APV Winter Conference with 55 participants d... read more 

NSUN2 restrains renal fibrosis via m5C-stabilized GPX4 and ferroptosis inhibition.

Cellular signalling
BACKGROUND: Renal fibrosis (RFib) is a final common pathway in chronic kidney disease (CKD) progression. Although 5-methylcytosine (m5C) RNA modification can regulate mRNA fate, its role in RFib and redox-regulated cell death remains incompletely def... read more 

From risk to resilience: A narrative review on strengthening veterinary clinical biosecurity to prevent healthcare-associated infections.

Veterinary journal (London, England : 1997)
Veterinary clinical biosecurity is key to preventing infectious diseases in animal clinics, particularly when there is high patient turnover, a mix of species, close contact among animals, or immunocompromised patients that raise the risk of hospital... read more 

FDA-authorized oncology artificial intelligence and machine learning devices and their clinical evidence: A cross-sectional analysis.

Journal of cancer policy
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) tools are increasingly embedded in cancer care, yet the scope of U.S. Food and Drug Administration (FDA) oncology-specific authorizations and the clinical evidence described in public... read more