Tag: Machine Learning for Pharmaceutical Discovery and Synthesis

Role of AI In The Pharmaceutical Industry

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Artificial intelligence (AI) has the potential to generate $100 billion across the healthcare and pharmaceutical industry, according to Mckinsey. The use of artificial intelligence in drug manufacturing, cell culture process development, and research improves efficiency, cost-effectiveness, and decision-making. At present, Artificial intelligence is helping the following corner of the pharmaceutical industry to stay competitive.

1.   Drug Discovery Process:

Drug discovery is an expensive and competitive process. Pharma companies are using artificial intelligence to their advantage for staying in the competition. AI has the ability to recognize patterns in large data collection and it also helps in establishing the best drug compositions for diseases. Top pharmaceutical industry players are using the MIT-machine learning consortium to increase the efficiency of their drug discovery process. The players include Pfizer, Bayer, Lilly, and Novartis. This consortium called Machine Learning for Pharmaceutical Discovery and Synthesis is also working on insights for the optimization and designing of drug synthesis.

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