AIMC Topic: Amyloid

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Deep Learning-Based Precontrast CT Parcellation for MRI-Free Brain Amyloid PET Quantification.

Clinical nuclear medicine Jan 29, 2025
PURPOSE: This study aimed to develop a deep learning (DL) model for brain region parcellation using CT data from PET/CT scans to enable accurate amyloid quantification in 18 F-FBB PET/CT without relying on high-resolution MRI.
Brain Retrospective Studies Female Humans Middle Aged Deep Learning Image Processing, Computer-Assisted Aged Male Amyloid Magnetic Resonance Imaging Positron Emission Tomography Computed Tomography
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Molecular Insights into α-Synuclein Fibrillation: A Raman Spectroscopy and Machine Learning Approach.

ACS chemical neuroscience Jan 28, 2025
The aggregation of α-synuclein is crucial to the development of Lewy body diseases, including Parkinson's disease and dementia with Lewy bodies. The aggregation pathway of α-synuclein typically involves a defined sequence of nucleation, elongation, a...
Spectrum Analysis, Raman alpha-Synuclein Protein Aggregates Amyloid Humans Machine Learning
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Deep learning-based denoising for unbiased analysis of morphology and stiffness in amyloid fibrils.

Computers in biology and medicine Nov 22, 2024
Understanding the morphology of amyloid fibrils is crucial for comprehending the aggregation and degradation mechanisms of abnormal proteins implicated in various diseases, such as Alzheimer's disease, Parkinson's disease, type II diabetes, and vario...
Microscopy, Atomic Force Humans Software Image Processing, Computer-Assisted Amyloid Deep Learning
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Tracer-Separator: A Deep Learning Model for Brain PET Dual-Tracer ( 18 F-FDG and Amyloid) Separation.

Clinical nuclear medicine Oct 29, 2024
INTRODUCTION: Multiplexed PET imaging revolutionized clinical decision-making by simultaneously capturing various radiotracer data in a single scan, enhancing diagnostic accuracy and patient comfort. Through a transformer-based deep learning, this st...
Aged Male Middle Aged Brain Humans Female Amyloid Fluorodeoxyglucose F18 Radioactive Tracers Image Processing, Computer-Assisted Positron-Emission Tomography Deep Learning
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Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning.

Nature communications Sep 12, 2024
Systemic amyloidosis involves the deposition of misfolded proteins in organs/tissues, leading to progressive organ dysfunction and failure. Congo red is the gold-standard chemical stain for visualizing amyloid deposits in tissue, showing birefringenc...
Plaque, Amyloid Birefringence Microscopy, Polarization Optical Imaging Congo Red Staining and Labeling Myocardium Amyloid Amyloidosis Microscopy, Fluorescence Humans Deep Learning
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Exploring Tau Fibril-Disaggregating and Antioxidating Molecules Binding to Membrane-Bound Amyloid Oligomers Using Machine Learning-Enhanced Docking and Molecular Dynamics.

Molecules (Basel, Switzerland) Jun 13, 2024
Intracellular tau fibrils are sources of neurotoxicity and oxidative stress in Alzheimer's. Current drug discovery efforts have focused on molecules with tau fibril disaggregation and antioxidation functions. However, recent studies suggest that memb...
Molecular Docking Simulation Protein Binding Molecular Dynamics Simulation Amyloid Antioxidants Humans Machine Learning Protein Aggregates Catechin tau Proteins
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Artificial Intelligence Assistive Software Tool for Automated Detection and Quantification of Amyloid-Related Imaging Abnormalities.

JAMA network open Feb 5, 2024
IMPORTANCE: Amyloid-related imaging abnormalities (ARIA) are brain magnetic resonance imaging (MRI) findings associated with the use of amyloid-β-directed monoclonal antibody therapies in Alzheimer disease (AD). ARIA monitoring is important to inform...
Amyloid Amyloid beta-Peptides Alzheimer Disease Humans Artificial Intelligence Software Aged Male Antibodies, Monoclonal Retrospective Studies Female
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AggBERT: Best in Class Prediction of Hexapeptide Amyloidogenesis with a Semi-Supervised ProtBERT Model.

Journal of chemical information and modeling Aug 8, 2023
The prediction of peptide amyloidogenesis is a challenging problem in the field of protein folding. Large language models, such as the ProtBERT model, have recently emerged as powerful tools in analyzing protein sequences for applications, such as pr...
Supervised Machine Learning Amino Acid Sequence Amyloid Heuristics Machine Learning Peptides
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Deep Learning-based structure modelling illuminates structure and function in uncharted regions of β-solenoid fold space.

Journal of structural biology Aug 6, 2023
Repeat proteins are common in all domains of life and exhibit a wide range of functions. One class of repeat protein contains solenoid folds where the repeating unit consists of β-strands separated by tight turns. β-solenoids have distinguishing stru...
Amyloid Adhesins, Bacterial Deep Learning
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Rational design of functional amyloid fibrillar assemblies.

Chemical Society reviews Jul 17, 2023
Amyloid fibrillar assemblies, originally identified as pathological entities in neurodegenerative diseases, have been widely adopted by various proteins to fulfill diverse biological functions in living organisms. Due to their unique features, such a...
Amyloidogenic Proteins Artificial Intelligence Amyloid
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