Artificial Intelligence Medical Compendium

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

Showing 73,721 to 73,730 of 235,678 articles

Machine learning-assisted assessment of extracellular vesicles can monitor cellular rejection after heart transplant.

Communications medicine
BACKGROUND: Heart transplant rejection, particularly acute cellular rejection (ACR), remains a critical post-operative concern, despite declining incidence rates. Current diagnostic standards rely on invasive endomyocardial biopsy, which presents lim... read more 

SPP1 promotes malignant characteristics and drug resistance in hepatocellular carcinoma by activating fatty acid metabolic pathway.

Functional & integrative genomics
Hepatocellular carcinoma (HCC) progression and prognosis are influenced by various molecular markers. This study aimed to identify the hub gene associated with HCC clinical characteristics and its role in HCC progression. Differentially expressed gen... read more 

A novel dual embedding few-shot learning approach for classifying bone loss using orthopantomogram radiographic notes.

Head & face medicine
BACKGROUND: Orthopantomograms (OPGs) are essential diagnostic tools in dental and maxillofacial care, providing a panoramic view of the jaws, teeth, and surrounding bone structures. Detecting bone loss, which indicates periodontal disease and systemi... read more 

Identification and validation of epithelial‑mesenchymal transition‑related genes for diabetic nephropathy by WGCNA and machine learning.

Molecular medicine reports
Diabetic nephropathy (DN) is the main cause of end‑stage renal disease, with epithelial‑mesenchymal transition (EMT) serving a key role in its initiation and progression. Nevertheless, the precise mechanisms involved remain unidentified. The present ... read more 

RadientFusion-XR: A Hybrid LBP-HOG Model for COVID-19 Detection Using Machine Learning.

Biotechnology and applied biochemistry
The rapid and accurate detection of COVID-19 (coronavirus disease 2019) from normal and pneumonia chest x-ray images is essential for timely diagnosis and treatment. The overlapping features in radiology images make it challenging for radiologists to... read more 

Solving Mazes of Organelle-Targeted Therapies with DNA Nanomachines.

Advanced materials (Deerfield Beach, Fla.)
Despite decades of research, cancer remains a growing global health challenge. Nanomaterials-based therapeutics have shown promise, but their clinical applications are often limited by poor selectivity and undesirable side effects. Recently, deoxyrib... read more 

Using Deep Graph Neural Networks Improves Physics-Based Hydration Free Energy Predictions Even for Molecules Outside of the Training Set Distribution.

The journal of physical chemistry. B
The accuracy of computational water models is crucial to atomistic simulations of biomolecules. Here we explore a decoupled framework that combines classical physics-based models with deep neural networks (DNNs) to correct residual error in hydration... read more 

A Setup for Automatic Raman Measurements in High-Throughput Experimentation.

Biotechnology and bioengineering
High-throughput (HT) experimentation is transforming biotechnology by enabling systematic exploration of complex multi-dimensional experimental conditions. However, current analytical methods are often unable to handle the rapid pace of sample genera... read more 

Three-dimensional digital quantitative analysis of periodontal and peri-implant phenotype-A narrative review.

Periodontology 2000
3D digital evaluation of the periodontal and peri-implant tissue, including CBCT, intraoral scanning, optical surface scanning, and ultrasonography, is being used in the clinical arena with increasing frequency. Thus, to validate the utilization of 3... read more