Exploring Computational Data Amplification and Imputation for the Discovery of Type 1 Diabetes (T1D) Biomarkers from Limited Human Datasets

Exploring Computational Data Amplification and Imputation for the Discovery of Type 1 Diabetes (T1D) Biomarkers from Limited Human Datasets

Background: Type 1 diabetes (T1D) is a devastating disease with serious health complications. Early T1D biomarkers that could enable timely detection and prevention before the onset of clinical symptoms are paramount but currently unavailable. Despite their promise, omics approaches have so far fail...

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Bibliographic Details
Main Authors: Oscar Alcazar, Mitsunori Ogihara, Gang Ren, Peter Buchwald, Midhat H. Abdulreda
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Biomolecules
Subjects:
artificial intelligence (AI)
algorithm
big data
data imputation and amplification
early biomarker signatures
early diagnosis
Online Access:https://www.mdpi.com/2218-273X/12/10/1444

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