Big Data is Set to Disrupt Biomedical Research in a Significant Way

Big data is proving useful in many industries. From marketing to manufacturing to construction to medicine, big data is playing a significant role in how companies operate.

But there is no doubt the healthcare sector has the most to gain. There are so many hurdles to jump in biomedicine, where animal trials and human trials are par for the course. How will big data disrupt this industry?

Seamless Authorization in Biomedicine

When biomedical research is being done on a new drug or method, organizations must get approval for lab tests on specific animals. For instance, if a research teams wants to conduct a lab test using rabbits, they need approval from someone else.

The approval process consists of many complicated parts, including lab animal identification, analyzing complex data and understanding the process of how tests will be conducted on animals.

If data is generated by the work done by suitably qualified persons, or SQPs, it is a lot easier to access those test results and use them for validation for future authorization for animal testing.

Quicker Test Results

Big data will make a tremendous difference to how quickly test results are available in biomedicine. In the past, researchers had to wait for a long time before they could see the results of their tests.

It is not only helpful for research teams as it streamlines their process, but it is also better for the animals involved in testing. Since the test takes less time to produce results, animals are put through stressful situations for shorter periods.

Following Reactions After a Test

The whole point of conducting drug trials on both animals and humans is to understand how the subject will react to the drug. The primary goal is to see how a given condition is impacted, but the tests are also there to see if any major or minor side effects develop.

The issue is that some reactions to drugs, such as allergic reactions, may not surface for a few weeks. That means some animal testing may produce reactions that were previously not recorded during the testing, which resulted in a risk to the humans who were next on the trial dock.

Big data allows for continuous data collection, analysis and sharing. Animal health SQPs are now able to work with medical practitioners to give them information on the side effects of new drugs that are being tested.

Many animals are returned to their natural habitat with technology placed on them. Such technology monitors their vitals and indicates if they have an adverse reaction to the trial, even if the reaction is weeks or months later.

Safer Animal Testing

The beauty of having so much data for analysis is that it details the way that animals were impacted by various studies. Some of the impact may be necessary, but other negative impacts are not necessary. They can be prevented if testing methods are tweaked. Now researchers will have the information available to them indicating what methods may need tweaking to avoid unnecessary stress or long term consequences to animals.

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