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AI in the Pharmaceutical Industry
Meet the Author : Mr. Bharani Kumar
Bharani Kumar Depuru is a well known IT personality from Hyderabad. He is the Founder and Director of Innodatatics Pvt Ltd and 360DigiTMG. Bharani Kumar is an IIT and ISB alumni with more than 17 years of experience, he held prominent positions in the IT elites like HSBC, ITC Infotech, Infosys, and Deloitte. He is a prevalent IT consultant specializing in Industrial Revolution 4.0 implementation, Data Analytics practice setup, Artificial Intelligence, Big Data Analytics, Industrial IoT, Business Intelligence and Business Management. Bharani Kumar is also the chief trainer at 360DigiTMG with more than Ten years of experience and has been making the IT transition journey easy for his students. 360DigiTMG is at the forefront of delivering quality education, thereby bridging the gap between academia and industry.
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In the pharmaceutical and consumer health sectors, AI and ML have become crucial. Modern technology has historically been used by the pharmaceutical business to provide safe and dependable medications. It's critical for pharmaceutical firms to launch medications and vaccines as quickly as they can give the current pandemic. The pharmaceutical and consumer healthcare industries have been significantly impacted by artificial intelligence and machine learning. These technologies have shown to be essential in augmented intelligence applications including disease detection and diagnosis, helping to identify patients for clinical trials, drug production, and predictive forecasting. The application of AI and machine learning in this pandemic is being driven by COVID and the race to discover effective vaccines. According to some analysts, over half of all global healthcare organisations will have AI strategies in place by 2025, and it will be crucial for how businesses run in the future. Pharmaceutical executives in the healthcare and biotech sectors are investigating the use of artificial intelligence and machine learning. The industry's digital future is advancing, according to studies, as more organisations are attaining present use cases. Top pharmaceutical companies are collaborating with AI vendors and integrating AI technology into their manufacturing processes for research and development and general medication discovery. According to polls, over 62% of healthcare organisations plan to invest in AI soon, and 72% of companies believe AI will be indispensable to their operations in the future. To get a better knowledge of the future of AI in the sector, 360DigiTMG focuses on current AI use cases, the optimal use for the technology, and the future of AI and Machine Learning in the sector.
How Artificial Intelligence (AI) Currently used in the Pharmaceutical Industry?
According to the McKinsey Global Institute, AI and Machine Learning in the pharmaceutical business might produce approximately $100 billion in revenue for the US healthcare system each year. According to experts, these technologies will improve decision making, increase creativity, improve the efficiency of research / clinical trials, and create new tools to help doctors, consumers, insurers, and regulators. .. Roche, Pfizer, Merck, AstraZeneca, GSK, Sanofi, AbbVie, Bristol-Myers Squibb and Johnson & Johnson are one of the leading pharmaceutical companies that have already partnered or acquired AI technology. With its Machine Learning for Pharmaceutical Discovery and Synthesis initiative, the Massachusetts Institute of Technology (MIT) teamed with Novartis and Pfizer in 2018 to change the process of medication design and production.
The partnership aims to close the gap between drug discovery research and MIT's machine learning research by bringing together academics and business to pinpoint and resolve the most pressing problems. To hasten the creation of potential new pharmaceuticals, GSK also partnered with Cloud Pharmaceuticals. GSK and VIR Biotechnology teamed together in April 2020 to speed up COVID-19 drug development utilising CRISPR and AI. Two months later, Roche and Owkin, a platform for machine learning in medical research, partnered to hasten drug discovery, development, and clinical trials. Abbott has unveiled a coronary imaging system that uses artificial intelligence. The platform has the ability to assess channel width and categorise the severity of calcium-based blockages in order to increase the accuracy of decision-making during coronary stenting procedures.
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In the Pharmaceutical Industry, Artificial Intelligence's Future
The present surge in AI use in the pharmaceutical industry shows no indications of abating. According to current research, over half of all global healthcare organizations aspire to establish AI programs and employ the technology broadly by 2025. The development of novel pharmaceuticals for chronic and oncology disorders will receive more attention from global pharmaceutical and drug development companies. Chronic disease is the leading cause of death in the United States. As a result, businesses are increasingly turning to Artificial Intelligence (AI)to improve the management of chronic illnesses, save costs, and improve patient health. Chronic renal disease, diabetes, cancer, and idiopathic pulmonary fibrosis are some of the key chronic diseases that AI will address in the future. AI will become a natural component of pharmaceutical and industrial processes as AI technologies become more widely available. AI will be a part of the future. Click here to learn Data Science Training in Hyderabad
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