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Related Experiment Video

Updated: Sep 28, 2025

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease

Published on: June 16, 2020

Big data in systemic sclerosis: Great potential for the future.

Mislav Radic^1,2,3, Tracy M Frech¹

¹Department of Rheumatology, University of Utah, Salt Lake City, UT, USA.

Journal of Scleroderma and Related Disorders

|April 6, 2022

Summary

This summary is machine-generated.

Big data, the analysis of complex datasets, offers significant potential for understanding rare diseases like systemic sclerosis. Current utilization in this field is limited, highlighting a need for greater adoption to unlock valuable insights.

Keywords:

Systemic sclerosis big data methodology rare diseases registries

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Area of Science:

Medical Informatics
Data Science in Medicine
Rare Disease Research

Background:

The term "big data" has gained prominence since 1997, but its application in medicine remains nascent.
Big data involves advanced methods for managing and analyzing large, complex datasets beyond traditional capabilities.
Systemic sclerosis, a rare disease, presents a critical area for big data integration due to its low prevalence.

Purpose of the Study:

To review the existing literature on the application of big data methodologies in systemic sclerosis research.
To assess the current utilization and potential of big data in understanding rare diseases.

Main Methods:

A comprehensive literature review was conducted.
Searched for studies employing big data techniques in the context of systemic sclerosis.

Main Results:

The volume of data related to systemic sclerosis has increased substantially in recent years.
Despite data growth, big data approaches have not been widely adopted in systemic sclerosis research.
A significant gap exists between the available data and its analytical utilization.

Conclusions:

Big data offers untapped potential for advancing the understanding and treatment of systemic sclerosis.
Increased adoption of big data methods is crucial to fully leverage the growing data resources in rare diseases.
Future research should focus on implementing big data strategies for systemic sclerosis to improve patient outcomes.