Artificial Intelligence Medical Compendium

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

Showing 1,911 to 1,920 of 165,462 articles

A Novel Deep Reinforcement Learning Approach for Dynamic Proportional-Integral Control in Scanning Probe Microscopy.

Small (Weinheim an der Bergstrasse, Germany) Jul 30, 2025
Scanning Probe Microscopy (SPM) measurements often encounter challenges due to the nonlinear and time-varying behavior of materials, as well as abrupt changes in structure, properties, or topography. These issues can lead to system instability and im... read more 

Oxidative Stress Links Thyroid Autoimmunity to Cancer: Peroxiredoxin 2 Protection via Genomic and Single-Cell Insights.

Cancer biotherapy & radiopharmaceuticals Jul 30, 2025
This study identifies shared genetic factors linking Hashimoto's thyroiditis (HT) and thyroid cancer (TC) using an integrated multiomics approach. We combined Mendelian randomization (MR) analysis using FinnGen genome-wide association study data, s... read more 

KadsuraChem: A Machine Learning-Powered LC-MS Database for Phytochemicals and Its Role in Compound Identification of .

Journal of agricultural and food chemistry Jul 30, 2025
plants, rich in bioactive dibenzocyclooctadienes and triterpenoids, are widely used in traditional medicine and the food industry. Previous LC-MS research identified only 25 dibenzocyclooctadienes from , with issues including isomer confusion and fa... read more 

ProWaste for proactive urban waste management using IoT and machine learning.

Scientific reports Jul 30, 2025
Urban waste-collection centres (WCCs) routinely overflow because maintenance routes are scheduled reactively rather than on data-driven forecasts. Overspill, odour, and leachate therefore threaten public health and sustainability targets in rapidly g... read more 

High-Speed Design of Multiplexed Meta-Optics Enabled by Physics-Driven Self-Supervised Network.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 30, 2025
The artificial intelligence (AI) can accelerate the meta-optics design by rapidly predicting the transmission coefficients of individual meta-atoms. However, extensive optimization iterations are usually required to complete the desired metasurface c... read more 

Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data.

Scientific reports Jul 30, 2025
Accurate rainfall forecasting is vital for managing water resources, preventing floods, supporting agricultural activities, and enhancing disaster preparedness. Traditional forecasting methods, such as linear regression, autoregressive models, and ti... read more 

Machine learning models based on routine blood and biochemical test data for diagnosis of neurological diseases.

Scientific reports Jul 30, 2025
Globally, nervous system diseases are the leading cause of disability-adjusted life-years and the second leading cause of mortality in the world. Traditional diagnostic methods for nervous system diseases are expensive. So this study aimed to constru... read more 
Humans Neural Networks, Computer Machine Learning Algorithms Female Adult Male Middle Aged ROC Curve Support Vector Machine Nervous System Diseases

Gut microbiome in gastrointestinal neoplasms: from mechanisms to precision therapeutic strategies.

Gut pathogens Jul 30, 2025
BACKGROUND: The incidence of Gastrointestinal Neoplasms (GI neoplasms) continues to increase globally. Colorectal cancer (CRC), in particular, has emerged as the second leading cause of cancer-related mortality worldwide. Now, Specific pathogenic bac... read more 

Skin Microbiome alterations in heroin users revealed by full-length 16S rRNA sequencing.

BMC microbiology Jul 30, 2025
BACKGROUND: Identifying key characteristics of unknown suspects, such as age, height, and drug use, is essential for advancing forensic investigations. read more 
Humans Female Young Adult Adult Male Middle Aged Phylogeny Bacteria DNA, Bacterial RNA, Ribosomal, 16S Sequence Analysis, DNA Skin Microbiota Heroin Heroin Dependence Skin Microbiome

Histopathological-based brain tumor grading using 2D-3D multi-modal CNN-transformer combined with stacking classifiers.

Scientific reports Jul 30, 2025
Reliability in diagnosing and treating brain tumors depends on the accurate grading of histopathological images. However, limited scalability, adaptability, and interpretability challenge current methods for frequently grading brain tumors to accurat... read more 
Humans Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results Brain Neoplasms Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Neoplasm Grading
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