AIMC Topic: tau Proteins

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Deep Learning-Based Classification of Temporal Stages of AT8-Labeled Tau Pathology After Experimental Traumatic Brain Injury.

Neuroinformatics
Tauopathies are characterised by a progressive accumulation of hyperphosphorylated tau. However, early and intermediate stages remain challenging to quantify due to subtle and heterogeneous morphological characteristics. This study evaluates a deep l...

Dopamine Self-Polymerization-Assisted Oriented Antibody Immobilization on a Transistor for Alzheimer's Disease Diagnosis.

Analytical chemistry
Antibody transistor biosensors show promise for early Alzheimer's disease (AD) diagnosis due to their single molecule detection capability. However, the random attachment of a payload to antigen-binding fragments (Fab) during biosensor preparation ca...

SynSeg: A synthetic data-driven approach for robust subcellular structure segmentation.

The Journal of cell biology
Accurate subcellular segmentation is crucial for understanding cellular processes, but traditional methods struggle with noise and complex structures. Convolutional neural networks improve accuracy but require large, time-consuming, and biased manual...

Diagnostic utility of biomarkers in progressive supranuclear palsy: toward a biotyping framework.

Journal of neurology
Progressive supranuclear palsy (PSP) is a rare and debilitating four-repeat (4R) tauopathy, characterized by motor dysfunction, cognitive decline, and oculomotor abnormalities, yet it lacks reliable biomarkers for early diagnosis, disease stratificat...

Association Between Choroid Plexus Morphological Alterations, Alzheimer Pathologies, and Cognitive Impairment: A Longitudinal Study.

Neurology
BACKGROUND AND OBJECTIVES: The choroid plexus (ChP) plays a crucial role in maintaining brain health. Alzheimer disease (AD) pathologies may damage the ChP and accelerate neurodegeneration. Previous imaging studies have found overall increased ChP vo...

Artificial Intelligence-Powered Quantification of Flortaucipir PET for Detecting Tau Pathology.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
We developed and evaluated an artificial intelligence (AI)-powered approach for easier quantification of tau PET uptake without requiring structural MR to aid earlier tracking of Alzheimer disease (AD). We implemented a deep neural network model tha...

Robust detection of femtogram-level Alzheimer's biomarkers using machine learning-enhanced graphene biosensors.

Biosensors & bioelectronics
Early diagnosis of Alzheimer's disease (AD) requires blood biomarker tests sensitive to femtogram/mL concentrations. Graphene field-effect transistors (GFETs) are promising for this application, but suffer from device-to-device variability and requir...

petBrain: a new pipeline for amyloid, Tau tangles and neurodegeneration quantification using PET and MRI.

Alzheimer's research & therapy
INTRODUCTION: Quantification of amyloid plaques (A), neurofibrillary tangles (T), and neurodegeneration (N) using PET and MRI is critical for Alzheimer's disease (AD) diagnosis and prognosis. Existing pipelines face limitations regarding processing t...

The long-term neuroprotective effect of MIND and Mediterranean diet on patients with Alzheimer's disease.

Scientific reports
Alzheimer's disease is a progressive neurodegenerative disorder with no cure, making preventive strategies crucial. Dietary interventions, particularly the Mediterranean (MeDi) and MIND diets, have been associated with reduced cognitive decline, but ...

Optimizing timing and cost-effective use of plasma biomarkers in Alzheimer's disease.

Alzheimer's research & therapy
BACKGROUND AND OBJECTIVES: Early and cost-effective identification of amyloid positivity is crucial for Alzheimer's disease (AD) diagnosis. While amyloid PET is the gold standard, plasma biomarkers such as phosphorylated tau 217 (pTau217) provide a p...