Artificial Intelligence Medical Compendium

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

Showing 63,581 to 63,590 of 230,801 articles

[Extracellular matrix materials and tissue regeneration and repair].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery Jan 15, 2026
The extracellular matrix (ECM) plays a pivotal role in regulating cellular behavior and driving tissue regeneration. Its unique structural characteristics and bioactivity not only provide physical support for cell growth, but also orchestrate tissue ... read more 
Humans Animals Regeneration Biocompatible Materials Regenerative Medicine Extracellular Matrix Tissue Engineering Tissue Scaffolds

Crystal Orientation and Defect Mapping in Electron-Beam-Sensitive Zeolites with Near-Axis Transmission Kikuchi Diffraction.

Nano letters Jan 15, 2026
Porous materials are vital in catalysis, energy conversion, and environmental remediation. Understanding structural heterogeneity in zeolites is key to linking synthesis, framework intergrowths, and catalytic performance, yet current methods for phas... read more 

A physics-informed graph neural network conserving linear and angular momentum for dynamical systems.

Nature communications Jan 15, 2026
Accurate, interpretable, and real-time modeling of multi-body dynamical systems is essential for predicting behaviors and inferring physical properties in natural and engineered environments. Traditional physics-based models face scalability challeng... read more 

BreastDCEDL: A standardized deep learning-ready breast DCE-MRI dataset of 2,070 patients.

Scientific data Jan 15, 2026
Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is essential for monitoring breast cancer treatment response, yet deep learning progress is limited by the lack of standardized, multi-center datasets. We present BreastDCEDL, a deep lear... read more 

Reducing bulky medical images via shape-texture decoupled deep neural networks.

Nature communications Jan 15, 2026
The explosive growth of medical data poses significant challenges for storage and sharing. Current compression techniques utilizing Implicit Neural Representations (INRs) effectively strike a balance between encoding accuracy and compression ratio, y... read more 

Pediatric diabetes prediction using machine learning.

Scientific reports Jan 15, 2026
Diabetes is a chronic condition that affects a substantial portion of the global population and is linked to elevated mortality rates and a range of severe health complications. Despite its clinical importance, progress in diabetes research is often ... read more 
Humans Neural Networks, Computer Machine Learning Algorithms Female Male Infant Adolescent Child, Preschool Child ROC Curve Diabetes Mellitus Support Vector Machine Bayes Theorem Diabetes, Gestational

A Benchmark Dataset for Satellite-Based Estimation and Detection of Rain.

Scientific data Jan 15, 2026
Accurately tracking the global distribution of precipitation is essential for both research and operational meteorology. Satellite observations remain the only means of achieving consistent, global precipitation monitoring. While machine learning has... read more 

Skin disease diagnostics through federated transfer learning on heterogeneous data.

Scientific reports Jan 15, 2026
Skin diseases frequently cause mental and physical distress and are major global health concern. Because early detection is crucial to successful treatment, accurate diagnosis is challenge for dermatologists as well. Diagnostic accuracy could be sign... read more 
Humans Neural Networks, Computer Machine Learning Databases, Factual Deep Learning Skin Diseases

MicroRNAs in oncology: a translational perspective in the era of AI.

Nature reviews. Clinical oncology Jan 15, 2026
Over the past three decades, knowledge of microRNA (miRNA) biology has advanced from the initial discovery of their regulatory functions to the finding of abnormal activity in leukaemias, and then to a comprehensive understanding of the roles of miRN... read more 

Optimized CatBoost machine learning (OCML) for DDoS detection in cloud virtual machines with time-series and adversarial robustness.

Scientific reports Jan 15, 2026
Distributed Denial of Service (DDoS) attacks represent one of the most strategically executed and severe threats in cloud computing, often leading to substantial data loss and significant financial damage for both cloud service providers and their us... read more 
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