Chemical Testing On Animals, All Thanks To Big Data & AI

 James Warner
  Aug 22, 2018

Big Data Analytics is no longer a technology which is only being restricted to the corporate space. In fact, it is quickly spreading its wings, and transforming various different domains including healthcare, sports, agriculture, aeronautics etc. The key reason behind the success of any technology include things like its ease of application as well as its impact. Big Data technology has certainly been one of those technological advancements which are aimed to not only enhance the quality of the work, but at the same time, it is making it is spurring a lot of innovation too.

Chemical Testing On Animals Will Be Down In the Dumps, All Thanks To Big Data & AI

Every technology is aimed at improving the world, or the functions, and Big Data and AI are not far behind either. As per a recent study, it was observed that the in order to test the toxicity of the chemicals, huge chemical database can be analyzed. This means, that earlier, we were reliant only on the animals in order to test the toxicity level of the chemicals, but now, we have the algorithms to help us find out the answers. So basically, Big Data including the gigantic amount of chemical information and the Hi-end algorithms will be used to foresee a new chemical’s harmfulness level.

This technique is not only regarded as much faster, better and accurate, but at the same time very transformative. We, as humans, are already doing a lot to disrupt the lives of the animals. These little creatures who have no sense of science are being dragged to the chaos just because their bodies can react to the chemicals, and give us the insights we need. Though, the experts did not really have a lot of choices to swap or discontinue this process hence, it was continuing since ages, but now there seems to be a good substitute for it.

The reports which suggest that suggest that algorithm based testing is better and more fruitful than animal testing is generated only after a lot of study and research. A plenty of eminent institutes have been testing, and finding ways to swap the animal testing proves, but they have not been able to do that. The latest toxicity-prediction solution, which also the most advanced program was on average approximately eighty seven percent correct in breeding consent animal-test-centered outcomes across different common tests that majorly accounted for only about fifty seven percent of the planet’s animal toxicology testing. Interestingly, any specified test on animals was only supposed to have around eighty one percent chance, of getting just the similar outcomes for the chemical toxicity when performed again and again.

There is already a huge chemical database that the companies enjoy. The scientists have to only find out ways to integrate the machine-learning algorithms along with the computing muscle which is offered by the new-age cloud server in order to understand the data and create a mapping of all the recognized chemical structures as well as the toxic characteristics linked to them. There is already a software which is developed with the aim to identify the where each of the compound of interest belongs on a map.

With the help of Big Data analytics, the experts can develop very effective and efficient predictive models. This also seems to be a tremendously fruitful avenue for lessening or rather completely swapping over the practices involved in the animal testing procedures. At the same time, we need more tools as well as studies which back this fact.

Also, more research, and advanced level of inputs are needed to make this a reality. But, it seems that replacing animal testing with something more concrete, valuable and efficient is no longer a dream of the future. It is very much possible, and the professionals have already started planning and building the processes. The animal testers have to just keep themselves abreast with the latest inventions so that they can swap it as soon as possible.

Chemical Testing On Animals, All Thanks To Big Data & AI

James Warner

Business Analyst / Business Intelligence Analyst as well as Experienced programming and software developer with Excellent knowledge on Hadoop/Big data analysis, Data Warehousing/Data Staging/ETL tool, design and development, testing and deployment of software systems from development stage to production stage with giving emphasis on Object oriented paradigm.

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