BioMed Research International

Applications of Computational Methods for Prediction, Prevention, Diagnosis, and Treatment of Neurodegenerative Diseases


Publishing date
01 Sep 2021
Status
Closed
Submission deadline
16 Apr 2021

Lead Editor

1Jiangsu University, Zhenjiang, China

2Harvard Medical School, Boston, USA

3Geneis, Beijing, China

This issue is now closed for submissions.
More articles will be published in the near future.

Applications of Computational Methods for Prediction, Prevention, Diagnosis, and Treatment of Neurodegenerative Diseases

This issue is now closed for submissions.
More articles will be published in the near future.

Description

Neurodegenerative disorders, such as Alzheimer’s disease (AD), Parkinson’s disease (PD), and Amyotrophic lateral sclerosis (ALS), are formidable clinical illnesses whose diagnosis, treatment, and prognosis are complex. As a result, no effective treatment for AD has been found so far. There is plenty of evidence to suggest that computational methods, especially those in bioinformatics and medical informatics, could be critical in solving this issue.

In the post-genome era, numerous computational methods have been developed and applied to the neurological field. Accurate prediction and diagnosis is a pivotal goal to prevent the onset of neurodegenerative diseases. With the assistance of biomarkers identified by computational methods, neurologists are able to diagnose the disease at its early stage. Based on next-generation sequencing (NGS) technologies, the risk gene loci and proteins can be detected. Accompanied by Magnetic Resonance Imaging (MRI) technology, clinicians can improve or assure their diagnosis and classification of neurodegenerative disorders. Furthermore, appropriate bioinformatics tools can help biologists to explore the aetiology of neurodegenerative diseases, which may shed light on the underlying mechanisms of brain impairment. In addition, some biomarkers can be utilized to promote drug repurposing as well as de novo drug design. Finally, wet-lab experiments can also be developed that are compatible with computational methods for further validation.

This Special Issue welcomes investigators to contribute original research and review articles related to computational methods and tools for diagnosis, treatment, prognosis, and prevention of neurodegenerative disorders.

Potential topics include but are not limited to the following:

  • Algorithms, methods, and tools for diagnosis, treatment, prognosis, and prevention of neurodegenerative disorders
  • Machine learning or deep learning methods on dimensional reduction and feature selection for big noisy data in neurodegenerative disorders
  • Bioinformatics methods in identifying disease mechanisms of neurodegenerative disorders
  • Methods integrating medical images and sequencing data in neurodegenerative disorders
  • Drug repositioning and drug target prediction for neurodegenerative disorders
  • Validation of results from computational studies by wet-lab experiments
  • Clinical applications of computational studies in neurodegenerative disorders

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 9921195
  • - Research Article

A Computational Framework to Identify Transcriptional and Network Differences between Hepatocellular Carcinoma and Normal Liver Tissue and Their Applications in Repositioning Drugs

Aimin Hu | Zheng Wei | ... | Changjiang Zeng
  • Special Issue
  • - Volume 2021
  • - Article ID 7561645
  • - Research Article

Identification of Key Genes and Immune Infiltrate in Nonalcoholic Steatohepatitis: A Bioinformatic Analysis

Zhen-yu Jiang | Yi Zhou | ... | Bang-mao Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 5516819
  • - Research Article

Clustering of Brain Tumor Based on Analysis of MRI Images Using Robust Principal Component Analysis (ROBPCA) Algorithm

Ali Hamzenejad | Saeid Jafarzadeh Ghoushchi | Vahid Baradaran
  • Special Issue
  • - Volume 2021
  • - Article ID 5561974
  • - Research Article

NREM Sleep EEG Characteristics Correlate to the Mild Cognitive Impairment in Patients with Parkinsonism

Cheng Zhang | Luhua Wei | ... | Jue Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 6108999
  • - Research Article

Protocatechualdehyde Inhibits the Osteoclast Differentiation of RAW264.7 and BMM Cells by Regulating NF-κB and MAPK Activity

Yunyun Qu | Xin Liu | ... | Yueran Zhao
  • Special Issue
  • - Volume 2021
  • - Article ID 9995384
  • - Review Article

RUNX3 Expression Level Is Correlated with the Clinical and Pathological Characteristics in Endometrial Cancer: A Systematic Review and Meta-analysis

Zhen Liu | Zhi-pan Hong | Shu-xue Xi
  • Special Issue
  • - Volume 2021
  • - Article ID 5579018
  • - Research Article

Retinal OCT Texture Analysis for Differentiating Healthy Controls from Multiple Sclerosis (MS) with/without Optic Neuritis

Hamidreza Dehghan Tazarjani | Zahra Amini | ... | Erfan Sadeghi
  • Special Issue
  • - Volume 2021
  • - Article ID 9939134
  • - Research Article

Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods

Lei Chen | Zhandong Li | ... | Yu-Dong Cai
  • Special Issue
  • - Volume 2021
  • - Article ID 9981815
  • - Research Article

Hydroxyphenyl Butanone Induces Cell Cycle Arrest through Inhibition of GSK3β in Colorectal Cancer

Songyan Zhang | Yunfeng Wang | ... | Ming Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 6649085
  • - Research Article

Microbiome-Metabolomics Reveals Endogenous Alterations of Energy Metabolism by the Dushen Tang to Attenuate D-Galactose-Induced Memory Impairment in Rats

Jifeng Wang | Min He | ... | Na Li
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