ReDisX, a machine learning approach, rationalizes rheumatoid arthritis and coronary artery disease patients uniquely upon identifying subpopulation differentiation markers from their genomic data

ReDisX, a machine learning approach, rationalizes rheumatoid arthritis and coronary artery disease patients uniquely upon identifying subpopulation differentiation markers from their genomic data

Diseases originate at the molecular-genetic layer, manifest through altered biochemical homeostasis, and develop symptoms later. Hence, symptomatic diagnosis is inadequate to explain the underlying molecular-genetic abnormality and individual genomic disparities. The current trends include molecular...

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Bibliographic Details
Main Authors: Hiu F. Yip, Debajyoti Chowdhury, Kexin Wang, Yujie Liu, Yao Gao, Liang Lan, Chaochao Zheng, Daogang Guan, Kei F. Lam, Hailong Zhu, Xuecheng Tai, Aiping Lu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Medicine
Subjects:
precision medicine
redefined diagnosis
genomic signature
ReDisX
machine learning
drug repurposing
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.931860/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.931860/full

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