The pharmaceutical industry is actively adopting AI by looking at Artificial Intelligence (AI) capabilities in automating and imparting intelligence in every process and saving manual hours and efforts. There are many application use cases of AI to transform the pharma industry, which extends to assisting research, facility management, office automation, data analytics, safety management and so on. Of many use cases, here we discuss some of the key AI application use cases in the pharmaceutical industry.
AI algorithms can identify, discover and certify unique and new drugs. Artificial intelligence in pharmaceuticals traditionally has been used to analyze genomes and chemical structures as well as test compounds and study how they react with one another using AI-based modelling algorithms.
An AI chatbot system automates and accelerates facility management and routine processes like reserving lab equipment and filing documentation, which usually is time-consuming and non-productive. Doing so saves time and effort and results in faster time-to-market for new drugs.
In real-time, AI-enabled big data capabilities analyze, segment, and extract intelligent information from huge amounts of data and then creates deeper insights into business data with analytics. Thereby enabling leadership to make informed decisions.
Often lab scientists are exposed to various chemicals that are highly hazardous, so it is mandatory to adhere to Personal Protection Equipment (PPE). Autonomous AI-driven computer vision systems continuously monitor the environment to assure safety equipment is worn and alerts management in case of any chemical spills.