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Establishment of a Clinic-based Biorepository

Establishment of a Clinic-based Biorepository

Published on: May 29, 2017

Population-based imaging biobanks as source of big data.

Sergios Gatidis¹, Sophia D Heber¹, Corinna Storz¹

¹Department of Radiology, University of Tübingen, Hoppe-Seyler-Str. 3, 72076, Tübingen, Germany.

La Radiologia Medica

|September 11, 2016

Summary

Computational advances enable big data in biomedical research, particularly in medical imaging for identifying biomarkers. This review discusses population imaging studies, their opportunities, and challenges in the big data era.

Keywords:

Big data Epidemiology Imaging MRI

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Area of Science:

Biomedical Research
Computational Science
Medical Imaging

Background:

Computational science advances enable novel biomedical research methods.
Big data approaches extract significant information from extensive research data.
Medical imaging is increasingly used in epidemiological studies.

Purpose of the Study:

Present existing epidemiological imaging studies.
Discuss opportunities in population imaging.
Address methodological, organizational, and challenges of big data in population imaging.

Main Methods:

Review of epidemiological imaging studies.
Analysis of big data methodologies in medical imaging.
Discussion of challenges and opportunities in population imaging research.

Main Results:

Epidemiological studies utilize advanced imaging to identify biomarkers.
Imaging biomarkers provide insights into physiological and pathological processes.
Population imaging presents unique big data challenges and opportunities.

Conclusions:

Population imaging is a growing field within big data research.
Methodological and organizational aspects require careful consideration.
Future research should address the challenges for successful implementation.