AIMC Topic: Neurodegenerative Diseases
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DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms.
NeuroImage
Nov 4, 2021
PURPOSE: Reducing the injected activity and/or the scanning time is a desirable goal to minimize radiation exposure and maximize patients' comfort. To achieve this goal, we developed a deep neural network (DNN) model for synthesizing full-dose (FD) t...
Deep Learning to Decipher the Progression and Morphology of Axonal Degeneration.
Cells
Sep 25, 2021
Axonal degeneration (AxD) is a pathological hallmark of many neurodegenerative diseases. Deciphering the morphological patterns of AxD will help to understand the underlying mechanisms and develop effective therapies. Here, we evaluated the progressi...
Can co-authorship networks be used to predict author research impact? A machine-learning based analysis within the field of degenerative cervical myelopathy research.
PloS one
Sep 2, 2021
INTRODUCTION: Degenerative Cervical Myelopathy (DCM) is a common and disabling condition, with a relatively modest research capacity. In order to accelerate knowledge discovery, the AO Spine RECODE-DCM project has recently established the top priorit...
A Novel Method for Differential Prognosis of Brain Degenerative Diseases Using Radiomics-Based Textural Analysis and Ensemble Learning Classifiers.
Computational and mathematical methods in medicine
Aug 5, 2021
We propose a novel approach to develop a computer-aided decision support system for radiologists to help them classify brain degeneration process as physiological or pathological, aiding in early prognosis of brain degenerative diseases. Our approach...
A 3D deep learning model to predict the diagnosis of dementia with Lewy bodies, Alzheimer's disease, and mild cognitive impairment using brain 18F-FDG PET.
European journal of nuclear medicine and molecular imaging
Jul 30, 2021
PURPOSE: The purpose of this study is to develop and validate a 3D deep learning model that predicts the final clinical diagnosis of Alzheimer's disease (AD), dementia with Lewy bodies (DLB), mild cognitive impairment due to Alzheimer's disease (MCI-...
Recent trends in artificial intelligence-driven identification and development of anti-neurodegenerative therapeutic agents.
Molecular diversity
Jul 19, 2021
Neurological disorders affect various aspects of life. Finding drugs for the central nervous system is a very challenging and complex task due to the involvement of the blood-brain barrier, P-glycoprotein, and the drug's high attrition rates. The ava...
NDDRF: A risk factor knowledgebase for personalized prevention of neurodegenerative diseases.
Journal of advanced research
Jun 20, 2021
INTRODUCTION: Neurodegenerative diseases (NDDs) are a series of chronic diseases, which are associated with progressive loss of neuronal structure or function. The complex etiologies of the NDDs remain unclear, thus the prevention and early diagnosis...
Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network.
Nature communications
Jun 2, 2021
Using the Cap Analysis of Gene Expression (CAGE) technology, the FANTOM5 consortium provided one of the most comprehensive maps of transcription start sites (TSSs) in several species. Strikingly, ~72% of them could not be assigned to a specific gene ...
Transcription Initiation, Genetic
Enhancer Elements, Genetic
Deep Learning
Microsatellite Repeats
Mice
Computational Biology
Genome, Human
Transcription Initiation Site
High-Throughput Nucleotide Sequencing
Humans
Polymorphism, Genetic
Base Sequence
A549 Cells
Neural Networks, Computer
Promoter Regions, Genetic
Neurodegenerative Diseases
Animals
Simultaneous imputation and classification using Multigraph Geometric Matrix Completion (MGMC): Application to neurodegenerative disease classification.
Artificial intelligence in medicine
May 8, 2021
Large-scale population-based studies in medicine are a key resource towards better diagnosis, monitoring, and treatment of diseases. They also serve as enablers of clinical decision support systems, in particular computer-aided diagnosis (CADx) using...
Artificial intelligence in neurodegenerative diseases: A review of available tools with a focus on machine learning techniques.
Artificial intelligence in medicine
Apr 30, 2021
Neurodegenerative diseases have shown an increasing incidence in the older population in recent years. A significant amount of research has been conducted to characterize these diseases. Computational methods, and particularly machine learning techni...
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