AIMC Topic: Calcium
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Fully automated deep learning powered calcium scoring in patients undergoing myocardial perfusion imaging.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Mar 17, 2022
BACKGROUND: To assess the accuracy of fully automated deep learning (DL) based coronary artery calcium scoring (CACS) from non-contrast computed tomography (CT) as acquired for attenuation correction (AC) of cardiac single-photon-emission computed to...
Deep learning segmentation and quantification method for assessing epicardial adipose tissue in CT calcium score scans.
Scientific reports
Feb 10, 2022
Epicardial adipose tissue volume (EAT) has been linked to coronary artery disease and the risk of major adverse cardiac events. As manual quantification of EAT is time-consuming, requires specialized training, and is prone to human error, we develope...
Application of ensemble machine learning algorithms on lifestyle factors and wearables for cardiovascular risk prediction.
Scientific reports
Jan 20, 2022
This study looked at novel data sources for cardiovascular risk prediction including detailed lifestyle questionnaire and continuous blood pressure monitoring, using ensemble machine learning algorithms (MLAs). The reference conventional risk score c...
Machine Learning Assisted Simultaneous Structural Profiling of Differently Charged Proteins in a Porin A (MspA) Electroosmotic Trap.
Journal of the American Chemical Society
Jan 7, 2022
The nanopore is emerging as a means of single-molecule protein sensing. However, proteins demonstrate different charge properties, which complicates the design of a sensor that can achieve simultaneous sensing of differently charged proteins. In this...
Contribution of phosphorus and PTH to the development of cardiac hypertrophy and fibrosis in an experimental model of chronic renal failure.
Nefrologia
Jan 3, 2022
BACKGROUND AND OBJECTIVE: Adequate serum phosphorus levels in patients with chronic kidney disease is essential for their clinical management. However, the control of hyperphosphatemia is difficult because is normally associated with increases in ser...
Deep learning models for image and data processes of intracellular calcium ions.
Cellular signalling
Dec 24, 2021
Intracellular calcium ion (Ca) in cytoplasm as an intracellular second messenger is involved in almost all important cellular activities of organisms. Generally its concentration ([Ca]) is tested by live imaging followed image and data processes, in ...
Automated sleep state classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning.
Journal of neuroscience methods
Nov 22, 2021
BACKGROUND: Wide-field calcium imaging (WFCI) allows for monitoring of cortex-wide neural dynamics in mice. When applied to the study of sleep, WFCI data are manually scored into the sleep states of wakefulness, non-REM (NREM) and REM by use of adjun...
Establishment of a 13 genes-based molecular prediction score model to discriminate the neurotoxic potential of food relevant-chemicals.
Toxicology letters
Nov 5, 2021
Although many neurotoxicity prediction studies of food additives have been developed, they are applicable in a qualitative way. We aimed to develop a novel prediction score that is described quantitatively and precisely. We examined cell viability, r...
Deep-Learning-Based Coronary Artery Calcium Detection from CT Image.
Sensors (Basel, Switzerland)
Oct 25, 2021
One of the most common methods for diagnosing coronary artery disease is the use of the coronary artery calcium score CT. However, the current diagnostic method using the coronary artery calcium score CT requires a considerable time, because the radi...
Deep Learning for Automatic Calcium Scoring in Population-Based Cardiovascular Screening.
JACC. Cardiovascular imaging
Aug 18, 2021
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