What are the applications of artificial intelligence in the pharmaceutical industry?

Date:2023-01-07
1. Drug Discovery: Artificial intelligence (AI) has been used extensively in drug discovery for the purpose of accelerating the process for identifying, testing and evaluating the potential candidates for new drug therapy. AI can help improve processes from the generation of leads to their optimization, as well as enabling virtual screening processes and facilitating data mining from existing databases. 2. Automation of Clinical Trials: AI can be used to strengthen automation and validation for clinical trials. AI-enabled technologies will automate the process of building patient profiles, developing and managing clinical trial protocols and identifying meaningful results from large datasets. 3. Safe and Accurate Manufacturing: AI can be used to ensure that only safe and accurate products are manufactured. AI can monitor product quality via the application of image recognition, machine vision and predictive analytics. AI can also analyze product data in order to make recommendations on efficient manufacturing processes and identify potential risks. 4. Predicting Adverse Drug Reactions: AI powered tools can be used to predict adverse drug reactions. By learning from large amounts of data gathered from clinical trials and personal usage, AI models can be used to detect potential adverse drug reactions before they occur.
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