Artificial Intelligence Medical Compendium

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

Showing 46,451 to 46,460 of 224,055 articles

Predicting Nocturnal Hypertension in CKD Through Table-Value Diffusion Model.

Hypertension (Dallas, Tex. : 1979)
BACKGROUND: Ambulatory blood pressure monitoring is indispensable for diagnosing nocturnal hypertension (NH) among patients with chronic kidney disease, but it is costly and time-consuming. Screening tools for predicting high-risk NH are urgently nee... read more 

A multi-magnification digital colposcopy image datasets for cervical cancer screening in Nigeria.

Data in brief
This dataset comprises 3356 high-resolution digital colposcopy images collected from 332 women who attended cervical cancer screening at Bowen University Teaching Hospital, Ogbomoso, Nigeria, between June and July 2025. Each participant underwent com... read more 

Signature-aware deep learning reveals distinct driver gene programs and mutational processes in glioblastoma and colon adenocarcinoma.

Computational biology and chemistry
The precise identification of cancer driver mutations is essential for precision oncology; however, it remains a significant challenge because of the overwhelming presence of passenger mutations and the complexity of mutational processes. In this stu... read more 

Unraveling the ranitidine removal mechanism in a novel riboflavin-mediated ultraviolet/peracetic acid system: An integrated density functional theory-machine learning framework.

Journal of hazardous materials
In this study, a novel riboflavin-mediated ultraviolet/peracetic acid system (RF/UV/PAA) was developed to enhance the degradation of ranitidine. Under optimal conditions, ranitidine was completely removed within 15 min, leading to a 68.9% mineralizat... read more 

Unlocking the Role of Exosomal ncRNAs in Colorectal Cancer: Molecular Insights and Clinical Promise.

Current pharmaceutical design
Colorectal cancer (CRC) continues to be a substantial cause of cancer-related fatality globally, necessitating improved diagnostic and therapeutic strategies. Exosomes, small extracellular vesicles that facilitate intercellular communication, as key ... read more 

Early Diagnosis of Alzheimer's: Machine Learning Analysis Leveraging Structural MRI.

Current Alzheimer research
INTRODUCTION: Alzheimer's disease (AD) is characterized by significant brain atrophy, detectable via structural MRI. There has been less focus on cortical degeneration in subcortical regional deterioration-particularly during the transition from Mild... read more 

Synergizing Artificial Intelligence with In Vivo CAR-T Cell Generation: A New Paradigm for Democratized Immunotherapy.

Bio Systems
In vivo CAR-T cell generation represents a paradigm shift in immunotherapy by transitioning the production of chimeric antigen receptor (CAR) T cells from external laboratories to the patient's own body. This innovative approach addresses the key lim... read more 

ProPicker: Promptable segmentation for particle picking in cryogenic electron tomography.

Journal of structural biology
Cryogenic electron tomography (cryo-ET) produces detailed 3D images (tomograms) of cellular environments. A key step in cryo-ET data analysis is detecting all instances of a specific particle across tomograms, called particle picking. This is a chall... read more 

Harnessing AI to Decode Protein Kinases: Structural, Functional, and Therapeutic Design Perspectives.

New biotechnology
Recent advances in Artificial Intelligence (AI) are reshaping kinase research by uncovering complex regulatory mechanisms and accelerating drug discovery. These advances have enabled the capture of elusive allosteric transitions and transient cryptic... read more