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Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

Biomedical informatics and translational medicine.

Indra Neil Sarkar¹

¹Center for Clinical and Translational Science, Department of Microbiology and Molecular Genetics, University of Vermont, College of Medicine, 89 Beaumont Ave, Given Courtyard N309, Burlington, VT 05405, USA. neil.sarkar@uvm.edu

Journal of Translational Medicine

|March 2, 2010

Summary

Biomedical informatics offers essential tools to bridge the gap between research and patient care in translational medicine. These methods improve clinical decision-making and health policy impact.

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Published on: September 20, 2018

Area of Science:

Biomedical Informatics
Translational Medicine
Health Informatics

Background:

Translational medicine faces significant barriers in moving research from the lab to clinical practice.
Biomedical informatics provides foundational methodologies to overcome these translational challenges.
Key informatics subfields include bioinformatics, imaging, clinical, and public health informatics.

Purpose of the Study:

To highlight the critical role of biomedical informatics in advancing translational medicine.
To describe key informatics topics and their relevance to translational medicine.
To propose biomedical informaticians as integral members of translational medicine teams.

Main Methods:

Review of fundamental biomedical informatics areas.
Description of specific informatics topics: Decision Support, Natural Language Processing, Standards, Information Retrieval, and Electronic Health Records.
Analysis of the relevance of these topics to translational medicine.

Main Results:

Biomedical informatics methodologies are crucial for improving the translation of basic research to clinical application.
Specific informatics topics directly support key translational medicine goals.
Advancements in informatics enhance the evaluation of interventions and health policy impact.

Conclusions:

Biomedical informatics is indispensable for overcoming translational barriers.
Informatics tools facilitate bringing research to the bedside and assessing intervention efficacy.
Biomedical informaticians are essential collaborators in translational medicine initiatives.