INFORMATION TECHNOLOGY
THE PHARMACEUTICAL INDUSTRY AND DATA SCIENCE Data can be used to analyze genomes, prescribe pharmaceuticals in the pharmaceutical and biotechnology industries, and a variety of other applications. Now that data has become "BIG DATA," analyzing it has become a whole new field of "Analytics and Data Science." The cost of genome structure analysis has decreased from ten million dollars in 2007 to one thousand dollars thanks to analytics. On the basis of big data analysis, a cancer treatment was prescribed. It can be used in a variety of industries and enterprises. There are numerous firms that are solely dependent on analytics, as well as numerous start-ups in the same field. There are ten reasons why pharmaceutical needs Big Data. Drug Discovery, Research and Development and Electronic clinical research, dossier filing and increase business area are just a few of the causes. The pharmaceutical sectors are benefiting from data mining since it is opening up new business options. Big data, data science, tools of data science, and drug discovery, clinical research are some of the terms used in this paper. Ashwin Kuchekar Associate Professor, School of Pharmacy Dr. Vishwanath Karad MIT-WPU
Ashwini Gawade Assistant Professor, School of Pharmacy Dr. Vishwanath Karad MIT-WPU
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P H AR M A F O C U S E U R O PE
ISSUE 01 - 2022
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he application of data science in the pharmaceutical industry has far-reaching consequences for individuals considering a degree in this discipline. Important statistical data acquired from several sources is regularly used by the pharmaceutical sector. What is the
