Artificial Intelligence Medical Compendium

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

Showing 8,251 to 8,260 of 207,819 articles

Blockchain-driven machine learning-enabled intrusion-resilient authenticated key agreement protocol for edge-centric IoT systems.

Scientific reports
The edge computing-based Internet of Things (IoT) system minimizes latency by processing data locally, reducing the distance it needs to travel. Processing data in proximity to its source enables rapid decision-making and real-time reactions. The edg... read more 

Machine learning based approaches for structure activity relationship analysis of heparanase inhibitors.

Scientific reports
Human Heparanase (HPSE), the only mammalian endo-β-D-glucuronidase, plays an important role in extracellular matrix remodeling and the release of heparin-bound growth factors. Its overexpression is strongly correlated with increased tumor growth, ang... read more 

Predictive analysis of tensile strength in FDM Fabricated PLA wood composite materials.

Scientific reports
A computational modeling strategy was established to predict the tensile strength of polylactic acid (PLA) reinforced with wood particles fabricated using fused deposition modeling (FDM). Three different predictive approaches-Artificial Neural Networ... read more 

A temporal adaptive dictionary-constrained LDA and Bi-calibrated dual granularity DTM framework for dynamic topic evolution analysis in academic papers.

Scientific reports
With the explosive growth of academic achievements in artificial intelligence (AI), accurately capturing the dynamic evolution of research topics is crucial for research topic selection, policy-making, and industrial innovation. To address the limita... read more 

Authorship identification for Chinese literature based on a pyramid deep bidirectional gated recurrent unit network with voting strategy.

Scientific reports
Identifying the author of given textual excerpts is a challenging and significant task in computational linguistics. In this paper, we propose a novel deep-learning model structured based on a Pyramid Deep Bidirectional Gated Recurrent Unit (biGRU) n... read more 

Development and validation of a noninvasive machine learning model using urinary extracellular vesicle physical parameters for prostate cancer diagnosis.

Scientific reports
Urinary extracellular vesicles (uEVs) are promising biomarkers for prostate cancer (PCa). Although novel uEV-based biomarkers have advanced early diagnosis, their detection processes remain cumbersome and cost-prohibitive. The physical parameters of ... read more 

CholBindNet as an interpretable neural network for cholesterol-binding site classification.

Communications chemistry
Cholesterol is a key modulator of membrane protein structure and function, yet predicting cholesterol-binding sites remains challenging due to its non-druglike physicochemical properties. Here, we curated more than 800 high-resolution transmembrane p... read more 

Early detection of gastric cancer: a novel circulating microbiome DNA based liquid biopsy assay.

NPJ precision oncology
Microorganisms play significant roles in gastric cancer (GC) progression. However, it is unknown whether circulating microbiome DNA (cmDNA) possesses GC specific features and could serve as diagnostic biomarker for GC detection. In this study, one co... read more 

Application of artificial neural networks to solve differential equations in Zika virus dynamics with exponential kernel derivatives.

Scientific reports
The Zika virus is a relatively new pathogen that has quickly become a major issue in virology. Infectious mosquitoes of the Aedes genus, particularly Aedes aegypti, spread the Zika virus in tropical and subtropical areas. Most bites from Aedes mosqui... read more 

Development and validation of a machine learning-based diagnostic system for 22 pediatric respiratory pathogens: a large-scale multicenter study.

NPJ digital medicine
Respiratory tract infections (RTIs) are a significant cause of morbidity in children, caused by a wide range of pathogens. As treatment strategies depend on the causative pathogen, early and accurate diagnosis is crucial. We developed and validated a... read more