AIMC Topic: Neurodegenerative Diseases
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Deep Learning-Assisted Gait Parameter Assessment for Neurodegenerative Diseases: Model Development and Validation.
Journal of medical Internet research
Jul 5, 2023
BACKGROUND: Neurodegenerative diseases (NDDs) are prevalent among older adults worldwide. Early diagnosis of NDD is challenging yet crucial. Gait status has been identified as an indicator of early-stage NDD changes and can play a significant role in...
Classification and deep-learning-based prediction of Alzheimer disease subtypes by using genomic data.
Translational psychiatry
Jun 29, 2023
Late-onset Alzheimer's disease (LOAD) is the most common multifactorial neurodegenerative disease among elderly people. LOAD is heterogeneous, and the symptoms vary among patients. Genome-wide association studies (GWAS) have identified genetic risk f...
Diagnosis of Parkinson's Disease via the Metabolic Fingerprint in Saliva by Deep Learning.
Small methods
May 26, 2023
Parkinson's disease (PD) is the second cause of the neurodegenerative disorder, affecting over 6 million people worldwide. The World Health Organization estimated that population aging will cause global PD prevalence to double in the coming 30 years....
msQSM: Morphology-based self-supervised deep learning for quantitative susceptibility mapping.
NeuroImage
May 21, 2023
Quantitative susceptibility mapping (QSM) has been applied to the measurement of iron deposition and the auxiliary diagnosis of neurodegenerative disease. There still exists a dipole inversion problem in QSM reconstruction. Recently, deep learning ap...
Explainable classification of Parkinson's disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets.
NeuroImage. Clinical
Apr 17, 2023
INTRODUCTION: Parkinson's disease (PD) is a severe neurodegenerative disease that affects millions of people. Early diagnosis is important to facilitate prompt interventions to slow down disease progression. However, accurate PD diagnosis can be chal...
Bifunctional robots inducing targeted protein degradation.
European journal of medicinal chemistry
Apr 15, 2023
The gaining importance of Targeted Protein Degradation (TPD) and PROTACs (PROteolysis-TArgeting Chimeras) have drawn the scientific community's attention. PROTACs are considered bifunctional robots owing to their avidity for the protein of interest (...
Diagnosis of Alzheimer Disease and Tauopathies on Whole-Slide Histopathology Images Using a Weakly Supervised Deep Learning Algorithm.
Laboratory investigation; a journal of technical methods and pathology
Mar 6, 2023
Neuropathologic assessment during autopsy is the gold standard for diagnosing neurodegenerative disorders. Neurodegenerative conditions, such as Alzheimer disease (AD) neuropathological change, are a continuous process from normal aging rather than c...
Restoring arm function with a soft robotic wearable for individuals with amyotrophic lateral sclerosis.
Science translational medicine
Feb 1, 2023
Despite promising results in the rehabilitation field, it remains unclear whether upper limb robotic wearables, e.g., for people with physical impairments resulting from neurodegenerative disease, can be made portable and suitable for everyday use. W...
Neurodegenerative disease of the brain: a survey of interdisciplinary approaches.
Journal of the Royal Society, Interface
Jan 18, 2023
Neurodegenerative diseases of the brain pose a major and increasing global health challenge, with only limited progress made in developing effective therapies over the last decade. Interdisciplinary research is improving understanding of these diseas...
Multi-speed transformer network for neurodegenerative disease assessment and activity recognition.
Computer methods and programs in biomedicine
Jan 9, 2023
BACKGROUND AND OBJECTIVE: Neurodegenerative diseases are the most frequent age-related diseases. This type of disease, if not discovered in the initial stage, will compromise the quality of life of the affected subject. Thus, a timely diagnosis is of...
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