AIMC Topic: Amyloid

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Automatic lesion detection and segmentation in F-flutemetamol positron emission tomography images using deep learning.

Biomedical engineering online Dec 20, 2022
BACKGROUND: Beta amyloid in the brain, which was originally confirmed by post-mortem examinations, can now be confirmed in living patients using amyloid positron emission tomography (PET) tracers, and the accuracy of diagnosis can be improved by beta...
Artificial Intelligence Brain Humans Aniline Compounds Positron-Emission Tomography Amyloid Deep Learning Alzheimer Disease
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Monitoring Amyloidogenesis with a 3D Deep-Learning-Guided Biolaser Imaging Array.

Nano letters Nov 11, 2022
Amyloidogenesis is a critical hallmark for many neurodegenerative diseases and drug screening; however, identifying intermediate states of protein aggregates at an earlier stage remains challenging. Herein, we developed a peptide-encapsulated droplet...
Amyloidosis Humans Imaging, Three-Dimensional Amyloid Deep Learning
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Mapping the association between tau-PET and Aβ-amyloid-PET using deep learning.

Scientific reports Aug 30, 2022
In Alzheimer's disease, the molecular pathogenesis of the extracellular Aβ-amyloid (Aβ) instigation of intracellular tau accumulation is poorly understood. We employed a high-resolution PET scanner, with low detection thresholds, to examine the Aβ-ta...
Amyloid Amyloidosis Alzheimer Disease Positron-Emission Tomography tau Proteins Amyloidogenic Proteins Brain Tomography, X-Ray Computed Cognitive Dysfunction Amyloid beta-Peptides Deep Learning Humans
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Deep-learning prediction of amyloid deposition from early-phase amyloid positron emission tomography imaging.

Annals of nuclear medicine Aug 1, 2022
OBJECTIVE: While the use of biomarkers for the detection of early and preclinical Alzheimer's Disease has become essential, the need to wait for over an hour after injection to obtain sufficient image quality can be challenging for patients with susp...
Humans Deep Learning Image Processing, Computer-Assisted Signal-To-Noise Ratio Amyloid Amyloidosis Alzheimer Disease Positron-Emission Tomography
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Carvacrol protects against carbonyl osmolyte-induced structural modifications and aggregation to serum albumin: Insights from physicochemical and molecular interaction studies.

International journal of biological macromolecules Jun 2, 2022
The robust use of osmolytes (i.e., polyols and sugars) in the key therapeutic regimens/formulations has questioned their impact beyond the stability of therapeutic proteins as these osmolytes trigger structural alterations into proteins including mis...
Molecular Docking Simulation Cymenes Amyloid Artificial Intelligence Serum Albumin, Bovine Serum Albumin
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Deep-Learning-Assisted Stratification of Amyloid Beta Mutants Using Drying Droplet Patterns.

Advanced materials (Deerfield Beach, Fla.) May 4, 2022
The development of simple and accurate methods to predict mutations in proteins remains an unsolved challenge in modern biochemistry. It is discovered that critical information about primary and secondary peptide structures can be inferred from the s...
Humans Amyloid Protein Structure, Secondary Peptide Fragments Deep Learning Alzheimer Disease Amyloid beta-Peptides
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Predicting Abnormal Amyloid Burden: Can Machine Learning Become a Future Tool in Preventive Neurology?

Neurology Apr 25, 2022
Machine Learning Forecasting Neurology Amyloid Humans
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Formulation and optimization of silymarin-encapsulated binary micelles for enhanced amyloid disaggregation activity.

Drug development and industrial pharmacy Apr 9, 2022
Silymarin (SLY) is a natural hydrophobic polyphenol that possesses antioxidant and amyloid fibril (Aβ) inhibition activity, but its activity is hindered due to low aqueous solubility. In this study, SLY is encapsulated in binary micelle (SLY-BM) that...
Micelles Silymarin Amyloid Biological Availability Antioxidants Drug Carriers
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Single-molecule fluorescence imaging and deep learning reveal highly heterogeneous aggregation of amyloid-β 42.

Proceedings of the National Academy of Sciences of the United States of America Mar 15, 2022
Polymorphism in the structure of amyloid fibrils suggests the existence of many different assembly pathways. Characterization of this heterogeneity is the key to understanding the aggregation mechanism and toxicity, but in practice it is extremely di...
Optical Imaging Peptide Fragments Amyloid Deep Learning Amyloid beta-Peptides
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Investigating Simultaneity for Deep Learning-Enhanced Actual Ultra-Low-Dose Amyloid PET/MR Imaging.

AJNR. American journal of neuroradiology Jan 27, 2022
BACKGROUND AND PURPOSE: Diagnostic-quality amyloid PET images can be created with deep learning using actual ultra-low-dose PET images and simultaneous structural MR imaging. Here, we investigated whether simultaneity is required; if not, MR imaging-...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Male Deep Learning Amyloid Positron Emission Tomography Computed Tomography Positron-Emission Tomography Humans Female
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