journal of biomedical informatics
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Robert Nicholas**
 
1 Department of Medicine, Carnegie Mellon University, Philippines, Email: nicholasrobrt@gmail.com
 
*Correspondence: Robert Nicholas*, Department of Medicine, Carnegie Mellon University, Philippines, Email: nicholasrobrt@gmail.com

Received: 27-Mar-2021 Accepted Date: Apr 01, 2021 ; Published: 20-Apr-2021

Citation: Nicholas R (2021). Translational Bioinformatics: An Overview . EJBI. 17(4): 18

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Introduction

Translational bioinformatics is an appearing field of bioinformatics that explores its clinical applications. It culminates from the conjunction of big data in health care, big molecular data, biostatistics, and artificial intelligence-based technologies. Bioinformatics knowledge bases and tools are utilized for building disease models, disease prediction models, drug designing, etc. Translational bioinformatics avails oneself of data mining and data analysis techniques for explanation of clinical data

It is a cross-disciplinary approach that engages computer-aided techniques for building information systems that contribute to upgrade health care. In recent years, this field has drawn much attention toward itself because of the combination of artificial intelligence-based technologies. The synergic integration of data collected from laboratory experiments and corresponding it with clinical data is a promising approach to fast and upgraded health care.

It is the development of methods to transform huge amounts of data into health. In presentation he delivered the following definition for TBI: “informatics methods that link biological entities (genes, proteins, and small molecules) to clinical organizations.

As technology authorizes us to take an increasingly comprehensive look across the genome, transcriptome, proteome, etc., the resulting datasets are increasingly high-proportion. This in turn needs a larger number of samples in order to attains the statistical power needed to detect the true signal. The past decade or so has seen rise in number of large-scale bio-repositories deliberated for clinical and translational research all over the world

clinical care decisions based on conscientious use of latest best evidence, to practice-based evidence. In current decades, the biomedical enterprise has attempted to practice medicine in a way that is supported by the best possible affirmation from randomized clinical trials.

Translational medical research has appeared as an important theme in the last decade. Starting with top-down supervision from the National Institutes of Health and moving uninterrupted academic medical centers, research institutes and industrial research and development efforts, there has been interest in more successfully moving the discoveries and innovations in the laboratory to the bedside, leading to upgraded diagnosis, prognosis, and treatment.