Future of Pharmaceutical Industry: Artificial Intellgence Technology

Abstract

In pharmaceutical industries for any process, any quality check, clinical studies, product synthesis, compound detection generally human work is involved. However, as a human being is not a robot, so the chances of contaminations and errors are more such as; in limit tests of any compound in any product, when it comes to visual testing of final solutions of test and standard different persons interpret different results of the same test. Likewise in any operation of industry where humans are involved there may be some errors, which leads to wrong results of the evaluation system. But in pharmaceutical industries where even a micro amount of contamination leads to whole batch failure and which is not acceptable in any circumstances. Moreover, in any process a pharmaceutical company tries to minimize chances of errors and result misinterpretation for which it mostly relies on technology and machinery. Although advanced equipment is available, they still play a very minimum role in industry. Most of the operations are operated by humans and after completion of the process only humans are there for evaluation, data interpretation of any observations and final approval of any batch. In synthesis of any compound, the humans who are synthesizing a new molecule by various methods and this process of drug discovery requires a lot of time and cost. In clinical studies, humans are testing new drugs in-vitro and in-vivo, so there are chances of wrong route of administration and wrong clinical data interpretation, which occurs as a barrier for a new drug to come into the market. In analysis of compounds, even a small amount of sampling human error leads to change in the percentage purity of the drug and results in rejection of the whole batch. Such kind of human errors lead to big revenue loss of pharmaceutical industries. Therefore, now many international pharmaceutical companies are looking for other options, which are available in the current market other than technologies, which already exist in the pharma world. In search of that, there are many questions arises such as what kind of technology has the power to substitute human work in a pharma company? What type of role that kind of technology plays in an industry? Is it totally substituting human work in a pharma sector? At what cost is it available and how we can get that type of technology? What are the advantages and disadvantages of that technology? So, the answer for all these questions, there is a technology, which is available in recent years known as “ARTIFICIAL INTELLIGENCE (AI)” technology.