AIMC Topic: Amyloid

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The Budapest Amyloid Predictor and Its Applications.

Biomolecules Mar 26, 2021
The amyloid state of proteins is widely studied with relevance to neurology, biochemistry, and biotechnology. In contrast with nearly amorphous aggregation, the amyloid state has a well-defined structure, consisting of parallel and antiparallel β-she...
Computational Biology Area Under Curve Amyloid Neural Networks, Computer ROC Curve
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Translating amyloid PET of different radiotracers by a deep generative model for interchangeability.

NeuroImage Feb 19, 2021
It is challenging to compare amyloid PET images obtained with different radiotracers. Here, we introduce a new approach to improve the interchangeability of amyloid PET acquired with different radiotracers through image-level translation. Deep genera...
Positron-Emission Tomography Stilbenes Brain Amyloid Humans Image Processing, Computer-Assisted Female Radiopharmaceuticals Aged Aged, 80 and over Aniline Compounds Male Deep Learning Thiazoles
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Modeling autosomal dominant Alzheimer's disease with machine learning.

Alzheimer's & dementia : the journal of the Alzheimer's Association Jan 21, 2021
INTRODUCTION: Machine learning models were used to discover novel disease trajectories for autosomal dominant Alzheimer's disease.
Humans Positron-Emission Tomography Amyloid Thiazoles Alzheimer Disease Aniline Compounds Fluorodeoxyglucose F18 Atrophy Machine Learning Female Male Adult Magnetic Resonance Imaging Mutation
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Improved amyloid burden quantification with nonspecific estimates using deep learning.

European journal of nuclear medicine and molecular imaging Jan 7, 2021
PURPOSE: Standardized uptake value ratio (SUVr) used to quantify amyloid-β burden from amyloid-PET scans can be biased by variations in the tracer's nonspecific (NS) binding caused by the presence of cerebrovascular disease (CeVD). In this work, we p...
Brain Deep Learning Amyloid beta-Peptides Humans Positron-Emission Tomography Amyloid Alzheimer Disease Aniline Compounds
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Visual interpretation of [F]Florbetaben PET supported by deep learning-based estimation of amyloid burden.

European journal of nuclear medicine and molecular imaging Sep 29, 2020
PURPOSE: Amyloid PET which has been widely used for noninvasive assessment of cortical amyloid burden is visually interpreted in the clinical setting. As a fast and easy-to-use visual interpretation support system, we analyze whether the deep learnin...
Humans Deep Learning Alzheimer Disease Stilbenes Amyloid Aniline Compounds Positron-Emission Tomography
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Generalization of deep learning models for ultra-low-count amyloid PET/MRI using transfer learning.

European journal of nuclear medicine and molecular imaging Jun 13, 2020
PURPOSE: We aimed to evaluate the performance of deep learning-based generalization of ultra-low-count amyloid PET/MRI enhancement when applied to studies acquired with different scanning hardware and protocols.
Magnetic Resonance Imaging Positron-Emission Tomography Amyloid Female Deep Learning Image Processing, Computer-Assisted Humans Tomography, X-Ray Computed
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Automatic identification of crossovers in cryo-EM images of murine amyloid protein A fibrils with machine learning.

Journal of microscopy Dec 29, 2019
Detecting crossovers in cryo-electron microscopy images of protein fibrils is an important step towards determining the morphological composition of a sample. Currently, the crossover locations are picked by hand, which introduces errors and is a tim...
Cryoelectron Microscopy Amyloid Protein Conformation Animals Image Processing, Computer-Assisted Mice Neural Networks, Computer Machine Learning Reproducibility of Results
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The clinical feasibility of deep learning-based classification of amyloid PET images in visually equivocal cases.

European journal of nuclear medicine and molecular imaging Dec 6, 2019
PURPOSE: Although most deep learning (DL) studies have reported excellent classification accuracy, these studies usually target typical Alzheimer's disease (AD) and normal cognition (NC) for which conventional visual assessment performs well. A clini...
Amyloid beta-Peptides Feasibility Studies Alzheimer Disease Aniline Compounds Positron-Emission Tomography Amyloid Humans Deep Learning
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The Classifying Autoencoder: Gaining Insight into Amyloid Assembly of Peptides and Proteins.

The journal of physical chemistry. B Jun 13, 2019
Despite the importance of amyloid formation in disease pathology, the understanding of the primary structure?activity relationship for amyloid-forming peptides remains elusive. Here we use a new neural-network based method of analysis: the classifyin...
Protein Aggregates Dimerization Amyloidogenic Proteins Amyloid Hydrophobic and Hydrophilic Interactions Machine Learning Databases, Factual Peptides Amino Acids
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Fluorescent silicon nanoparticles inhibit the amyloid fibrillation of insulin.

Journal of materials chemistry. B Jan 21, 2019
Amyloid fibrillation of proteins is likely a key factor leading to the development of amyloidosis-associated diseases. Inhibiting amyloid fibrillation has become a crucial therapeutic strategy. Water-soluble, fluorescent silicon nanoparticles (SiNPs)...
Amyloid Silicon Particle Size Spectrometry, Fluorescence Kinetics Insulin Nanoparticles
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