AIMC Topic: Neurodegenerative Diseases
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Adopting transfer learning for neuroimaging: a comparative analysis with a custom 3D convolution neural network model.
BMC medical informatics and decision making
Dec 7, 2022
BACKGROUND: In recent years, neuroimaging with deep learning (DL) algorithms have made remarkable advances in the diagnosis of neurodegenerative disorders. However, applying DL in different medical domains is usually challenged by lack of labeled dat...
3-Dimensional Immunostaining and Automated Deep-Learning Based Analysis of Nerve Degeneration.
International journal of molecular sciences
Nov 26, 2022
Multiple sclerosis (MS) is an autoimmune and neurodegenerative disease driven by inflammation and demyelination in the brain, spinal cord, and optic nerve. Optic neuritis, characterized by inflammation and demyelination of the optic nerve, is a sympt...
Identifying an Optimal Neuroinflammation Treatment Using a Nanoligomer Discovery Engine.
ACS chemical neuroscience
Nov 21, 2022
Acute activation of innate immune response in the brain, or neuroinflammation, protects this vital organ from a range of external pathogens and promotes healing after traumatic brain injury. However, chronic neuroinflammation leading to the activatio...
Interpretable deep learning-based hippocampal sclerosis classification.
Epilepsia open
Oct 5, 2022
OBJECTIVE: To evaluate the performance of a deep learning model for hippocampal sclerosis classification on the clinical dataset and suggest plausible visual interpretation for the model prediction.
Deep learning methods to predict amyotrophic lateral sclerosis disease progression.
Scientific reports
Aug 12, 2022
Amyotrophic lateral sclerosis (ALS) is a highly complex and heterogeneous neurodegenerative disease that affects motor neurons. Since life expectancy is relatively low, it is essential to promptly understand the course of the disease to better target...
Deep learning for Alzheimer's disease diagnosis: A survey.
Artificial intelligence in medicine
Jun 12, 2022
Alzheimer's Disease (AD) is an irreversible neurodegenerative disease that results in a progressive decline in cognitive abilities. Since AD starts several years before the onset of the symptoms, its early detection is challenging due to subtle chang...
Deep learning-based brain age prediction in normal aging and dementia.
Nature aging
May 9, 2022
Brain aging is accompanied by patterns of functional and structural change. Alzheimer's disease (AD), a representative neurodegenerative disease, has been linked to accelerated brain aging. Here, we developed a deep learning-based brain age predictio...
Improving Alzheimer's Disease Detection for Speech Based on Feature Purification Network.
Frontiers in public health
Mar 3, 2022
Alzheimer's disease (AD) is a neurodegenerative disease involving the decline of cognitive ability with illness progresses. At present, the diagnosis of AD mainly depends on the interviews between patients and doctors, which is slow, expensive, and s...
Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method.
Computers in biology and medicine
Nov 21, 2021
BACKGROUND: Alzheimer's disease is a chronic neurodegenerative disease that destroys brain cells, causing irreversible degeneration of cognitive functions and dementia. Its causes are not yet fully understood, and there is no curative treatment. Howe...
Plasma neurofilament light chain protein is not increased in treatment-resistant schizophrenia and first-degree relatives.
The Australian and New Zealand journal of psychiatry
Nov 17, 2021
OBJECTIVE: Schizophrenia, a complex psychiatric disorder, is often associated with cognitive, neurological and neuroimaging abnormalities. The processes underlying these abnormalities, and whether a subset of people with schizophrenia have a neuropro...
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