AIMC Topic: Calcium Compounds

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Investigation on explainable machine learning models to predict chronic kidney diseases.

Scientific reports Feb 14, 2024
Chronic kidney disease (CKD) is a major worldwide health problem, affecting a large proportion of the world's population and leading to higher morbidity and death rates. The early stages of CKD sometimes present without visible symptoms, causing pati...
Humans Bayes Theorem Oxides Glycated Hemoglobin Calcium Compounds Quality of Life Renal Insufficiency, Chronic Artificial Intelligence Machine Learning
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Monolithic 2D Perovskites Enabled Artificial Photonic Synapses for Neuromorphic Vision Sensors.

Advanced materials (Deerfield Beach, Fla.) Feb 1, 2024
Neuromorphic visual sensors (NVS) based on photonic synapses hold a significant promise to emulate the human visual system. However, current photonic synapses rely on exquisite engineering of the complex heterogeneous interface to realize learning an...
Oxides Titanium Humans Neural Networks, Computer Vision, Ocular Photons Synapses Calcium Compounds
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A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study.

JMIR human factors Jan 25, 2024
BACKGROUND: Adverse events refer to incidents with potential or actual harm to patients in hospitals. These events are typically documented through patient safety event (PSE) reports, which consist of detailed narratives providing contextual informat...
Pregnancy Humans Female Oxides Calcium Compounds Artificial Intelligence Algorithms Machine Learning Patient Safety
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Explainable deep learning-based survival prediction for non-small cell lung cancer patients undergoing radical radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jan 18, 2024
BACKGROUND AND PURPOSE: Survival is frequently assessed using Cox proportional hazards (CPH) regression; however, CPH may be too simplistic as it assumes a linear relationship between covariables and the outcome. Alternative, non-linear machine learn...
Lung Neoplasms Carcinoma, Non-Small-Cell Lung Humans Deep Learning Calcium Compounds Oxides Survival Analysis
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Charge Recombination Dynamics in a Metal Halide Perovskite Simulated by Nonadiabatic Molecular Dynamics Combined with Machine Learning.

The journal of physical chemistry letters Nov 11, 2022
Nonadiabatic coupling (NAC) plays a central role in driving nonadiabatic dynamics in various photophysical and photochemical processes. However, the high computational cost of NAC limits the time scale and system size of quantum dynamics simulation. ...
Molecular Dynamics Simulation Machine Learning Recombination, Genetic Calcium Compounds Metals
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Dynamic Instability and Time Domain Response of a Model Halide Perovskite Memristor for Artificial Neurons.

The journal of physical chemistry letters Apr 22, 2022
Memristors are candidate devices for constructing artificial neurons, synapses, and computational networks for brainlike information processing and sensory-motor autonomous systems. However, the dynamics of natural neurons and synapses are challengin...
Action Potentials Oxides Titanium Neurons Neural Networks, Computer Synapses Calcium Compounds
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Research on the Formation Mechanism of MgO and AlO on Composite Calcium Ferrite Based on DA-RBF Neural Network.

Computational intelligence and neuroscience Jan 5, 2022
Calcium complex ferrate is an ideal binder phase in the sintered ore phase, and a detailed study of the whole process of calcium complex ferrate generation is of great significance to improve the quality of sintered ore. In this paper, we first inves...
Calcium Compounds Ferric Compounds Magnesium Oxide Neural Networks, Computer Algorithms
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Significance of the Chemical Environment of an Element in Nonadiabatic Molecular Dynamics: Feature Selection and Dimensionality Reduction with Machine Learning.

The journal of physical chemistry letters Dec 13, 2021
Using supervised and unsupervised machine learning (ML) on features generated from nonadiabatic (NA) molecular dynamics (MD) trajectories under the classical path approximation, we demonstrate that mutual information with the NA Hamiltonian can be us...
Oxides Titanium Machine Learning Molecular Dynamics Simulation Calcium Compounds
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ABO multiferroic perovskite materials for memristive memory and neuromorphic computing.

Nanoscale horizons Nov 22, 2021
The unique electron spin, transfer, polarization and magnetoelectric coupling characteristics of ABO multiferroic perovskite materials make them promising candidates for application in multifunctional nanoelectronic devices. Reversible ferroelectric ...
Artificial Intelligence Calcium Compounds Oxides Neural Networks, Computer Titanium Information Storage and Retrieval
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Search for ABO Type Ferroelectric Perovskites with Targeted Multi-Properties by Machine Learning Strategies.

Journal of chemical information and modeling Aug 10, 2021
Ferroelectric perovskites are one of the most promising functional materials due to the pyroelectric and piezoelectric effect. In the practical applications of ferroelectric perovskites, it is often necessary to meet the requirements of multiple prop...
Calcium Compounds Machine Learning Oxides
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