Artificial Intelligence Medical Compendium

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

Showing 73,371 to 73,380 of 235,503 articles

Graph-neural-network predictions of solid-state NMR parameters in silica from spherical tensor decomposition.

The Journal of chemical physics
Nuclear magnetic resonance (NMR) is a powerful spectroscopic technique that is sensitive to the local atomic structure of matter. Computational predictions of NMR parameters can help interpret experimental data and validate structural models, and mac... read more 

Colon cancer survival prediction from gland shapes within histology slides using deep learning.

Journal of integrative bioinformatics
This study investigates the application of deep learning techniques for segmenting glands in histopathological images of colorectal cancer. We trained two convolutional neural network models, U-Net and DCAN, on a combination of the GlaS and CRAG data... read more 

Highly Responsive Self-Healing and Degradable Piezoelectric Soft Machines.

Advanced materials (Deerfield Beach, Fla.)
Piezoelectric materials that are simultaneously healable, stretchable, and degradable have remained an unmet challenge, limiting advancements in wearable and implantable electronics, where devices face multidimensional mechanical deformation, causing... read more 

Additive Manufacturing of Neuromorphic Systems.

Advanced materials (Deerfield Beach, Fla.)
Neuromorphic engineering aims to create brain-inspired computing systems based on synaptic electronic hardware and neural network software. It combines intelligent materials, advanced processing technology, and computation programs. Additive manufact... read more 

Predicting the Site-Specific Toxicity of Metals to Fishes Using a New Machine Learning-Based Approach.

Environmental science & technology
Fishes of various trophic levels play an important role in the stability and balance of aquatic ecosystems. Metal contaminants can impair the survival and population fitness of fish at elevated concentrations. When universal water quality criteria (W... read more 

Diagnostic technologies for neuroblastoma.

Lab on a chip
Neuroblastoma is an aggressive childhood cancer characterised by high relapse rates and heterogenicity. Current medical diagnostic methods involve an array of techniques, from blood tests to tumour biopsies. This process is associated with long-term ... read more 

Metallic Bond Induces Soft Phonon Mode and Anharmonicity in Heusler Alloy.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The fruitful functional performances of metastable Heusler alloys originate from the martensitic transformation driven by the transverse acoustic soft phonon mode, regulated by anharmonicity. However, the origins of the soft mode and the anharmonicit... read more 

Biomolecular Interaction Prediction in the Pre- and Post-AlphaFold Era: The 8th CAPRI Evaluation.

Proteins
We report on the 8th CAPRI Evaluation period, capturing the assessment of CAPRI Rounds 47 to 55 (excluding the CASP and COVID-related Rounds), which have witnessed the transition to AI-driven prediction tools such as AlphaFold and related alternative... read more 

Machine learning approaches for improved understanding of factors associated with history of sport-related concussion.

Risk analysis : an official publication of the Society for Risk Analysis
Sport-related concussion (SRC), which accounts for a significant portion of all mild traumatic brain injuries in the United States, can adversely affect quality of life and long-term cognitive function. Identifying the persisting effects of concussio... read more