Computational and Mathematical Methods in Medicine

Multi-Omic Data-Based Computational Approaches for Personalized Disease Diagnosis, Prognosis, and Treatment


Publishing date
01 Apr 2022
Status
Closed
Submission deadline
19 Nov 2021

Lead Editor

1Shanghai Jiao Tong University, Shanghai, China

2Tongji University School of Medicine, Shanghai, China

3Wright State University, Dayton, USA

This issue is now closed for submissions.

Multi-Omic Data-Based Computational Approaches for Personalized Disease Diagnosis, Prognosis, and Treatment

This issue is now closed for submissions.

Description

Recent technologies have provided us with an incredible amount of ‘multi-omic’ data, broadening the horizons of the genetic, transcriptomic, and epigenetic information that is available for deciphering the subgroups of patients suffering from certain diseases, thus paving the way for a variety of applications in precision medicine. Among the technologies are sequencing-based approaches including high throughput DNA/RNA sequencing, ATAC-seq, TCR-seq, DNA/RNA methylome-seq, and single-cell sequencing, and image-based technologies including x-ray, CT, PET-CT, MRI, digital pathology, immunohistochemistry, and optical imaging.

In recent years, many computational approaches have gained unprecedented momentum by providing opportunities for using multi-omic datasets that are generated from those technologies above to revolutionize disease research and care. Thus, multi-omic data-based computational approaches are particularly well suited for exploring the underlying mechanisms of biological phenomena, aiming to achieve personalized disease diagnosis, prognosis, and treatment for precision medicine. However, handling and making sense of the increasing amount of information represents one of the biggest challenges of the decade. There is an urgent need to develop new computational and statistical approaches, especially in the field of personalized disease diagnosis, prognosis, and treatment.

The aim of this Special Issue is to provide a collection of multidisciplinary research and review articles addressing the development, improvement, or examples of using methods or algorithms for personalized disease diagnosis, prognosis, and treatment.

Potential topics include but are not limited to the following:

  • Computational or experimental approaches to describe the landscape of genetic, transcriptomic, and epigenetic information for diseases
  • Computational methods or strategies to predict disease diagnosis, prognosis, and treatment
  • Computational methods or strategies for prediction of drug-drug interactions and/or quantification of their dose-effect relationship
  • Network-based statistical methods and applications in precision medicine with multi-omic data
  • Tools, pipelines, and databases for personalized disease diagnosis, prognosis, and treatment
  • Machine learning methods in the computational biology of diseases
  • Application of computational biology in the screening of biomarkers using multi-omic data
  • Artificial Intelligence (AI)-based algorithms for the identification of markers for diagnosis, prognosis, and treatment
  • Computational approaches for supporting clinical decision-making processes
  • Patient selection methods

Articles

  • Special Issue
  • - Volume 2023
  • - Article ID 9867851
  • - Retraction

Retracted: Inhibition of miR-15a-5p Promotes the Chemoresistance to Pirarubicin in Hepatocellular Carcinoma via Targeting eIF4E

Computational and Mathematical Methods in Medicine
  • Special Issue
  • - Volume 2023
  • - Article ID 9760527
  • - Retraction

Retracted: miR-335-5p Inhibits Progression of Uterine Leiomyoma by Targeting ARGLU1

Computational and Mathematical Methods in Medicine
  • Special Issue
  • - Volume 2023
  • - Article ID 9892419
  • - Retraction

Retracted: Ultrasonic Imaging of Carotid Inflammatory Plaque with Superparamagnetic Nanoparticles

Computational and Mathematical Methods in Medicine
  • Special Issue
  • - Volume 2023
  • - Article ID 9864707
  • - Retraction

Retracted: HD-13 Induces Swine Pneumonia Progression via Activation of TLR9

Computational and Mathematical Methods in Medicine
  • Special Issue
  • - Volume 2023
  • - Article ID 9834691
  • - Retraction

Retracted: Application of Self-Adhesive Soft Silicone Common Foam Dressing in Reducing Intraoperative Pressure Ulcers in Elderly ICU Patients

Computational and Mathematical Methods in Medicine
  • Special Issue
  • - Volume 2023
  • - Article ID 9819038
  • - Retraction

Retracted: N-Acetylcysteine (NAC) Inhibits Synthesis of IL-18 in Macrophage by Suppressing NLRP3 Expression to Reduce the Production of IFN-γ from NK Cells

Computational and Mathematical Methods in Medicine
  • Special Issue
  • - Volume 2023
  • - Article ID 9812726
  • - Retraction

Retracted: Invention and Clinical Application of an Oversleeve for Measuring Limb Volume in Postoperative Breast Cancer Patients

Computational and Mathematical Methods in Medicine
  • Special Issue
  • - Volume 2023
  • - Article ID 9814047
  • - Retraction

Retracted: miR-124a Involves in the Regulation of Wnt/β-Catenin and P53 Pathways to Inhibit Abdominal Aortic Aneurysm via Targeting BRD4

Computational and Mathematical Methods in Medicine
  • Special Issue
  • - Volume 2023
  • - Article ID 9806041
  • - Retraction

Retracted: Heme Oxygenase-1 Inhibits the Proliferation of Hepatic Stellate Cells by Activating PPARγ and Suppressing NF-κB

Computational and Mathematical Methods in Medicine
  • Special Issue
  • - Volume 2023
  • - Article ID 9768635
  • - Retraction

Retracted: Effect of Ropivacaine-Loaded Magnetic Nanoparticles on Ankle Nerve Block in Rats

Computational and Mathematical Methods in Medicine

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