Artificial Intelligence Medical Compendium

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

Showing 43,261 to 43,270 of 224,055 articles

The Open Molecular Software Foundation (OMSF) and the Growing Role of Open Source Software in Molecular Modeling.

Journal of chemical information and modeling
The increasing importance and predictive power of modern molecular modeling, driven by physics- and machine-learning-based methods, necessitates a new collaborative architecture to replace the isolated, traditional model of software development. The ... read more 

Integrated and Ultrafast Multiomics Sample Preparation Workflow for Screening Biomarker Panel of Platelet Biomolecules for Early Diagnosis of HCC.

Analytical chemistry
Early detection of hepatocellular carcinoma (HCC) remains a persistent worldwide challenge. Owing to its minimal invasiveness, liquid biopsy has emerged as a promising alternative for early screening. As key components of the tumor microenvironment (... read more 

Enhanced Transcytosis and Retention (ETR) of Drug Delivery Nanocarrier in Solid Tumors.

Accounts of chemical research
ConspectusTranscytosis, traditionally regarded as biological, constitutes an intrinsic and powerful pathway for macromolecule transport across endothelial and epithelial barriers. The emerging concept of Enhanced Transcytosis and Retention (ETR) is d... read more 

Synergy between Charge Transfer and Spatial Descriptors in Determining the Band Gap of hP4-Na: An Interpretable Machine Learning Approach.

Inorganic chemistry
Electrides are a class of materials whose highly localized electrons in the lattice interstices exhibit anion-like behavior, known as interstitial quasi-atoms (ISQs). Nonmetallic electrides are promising for extreme-environment optical and sensing ap... read more 

Self-Powered Multisensor with Electromagnetic and Triboelectric Energy Harvesting for Wireless Monitoring in Every Knee Joint Motion.

ACS sensors
Artificial Intelligence of Things (AIoT) enables convenient human health monitoring but consumes massive data and energy. Traditional power supplies and single-sensor setups struggle to reconcile this wireless convenience and multimodal data transmis... read more 

AI might be the next stage of our natural evolution: A cancer neuroscience perspective.

Science signaling
Cancer neuroscience is an emerging field at the intersection of oncology, neuroscience, and immunology in which the interactions between cancer cells and neural and immune systems generate extraordinary biological complexity. Thus, artificial intelli... read more 

Nanomechanical Properties and Constitutive Behavior of CVD-ZnS Crystals: A Comprehensive Study via Machine Learning, Numerical Simulation, and Experimental Verification.

Langmuir : the ACS journal of surfaces and colloids
Chemical vapor deposited (CVD) ZnS, widely used in infrared windows and conformal radomes for high-speed aircraft, requires accurate characterization of its plastic constitutive behavior to ensure service reliability. However, the complex deformation... read more 

Deciphering lncRNA-disease associations based on multi-representation fusion and boosting with Gaussian process.

IEEE journal of biomedical and health informatics
LncRNA-disease association (LDA) identification can provide valuable insights for understanding disease pathogenesis. Existing most deep learning-based LDA prediction models remain limitations in effectively fusing various features of lncRNAs and dis... read more 

Leads-Adaptive Fetal Electrocardiogram Extraction Using Attention-Based BiLSTM.

IEEE journal of biomedical and health informatics
Extracting the fetal electrocardiogram (fECG) from the abdominal electrocardiogram (AECG) will  help clinicians accurately discern fetal cardiac rhythm patterns. Nevertheless, the intricacies inherent in the clinical setting often precipitate signal ... read more