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Drug Development Trends for 2023

AI & Data Analytics

Over the past few years, there has been a drastic increase in data digitalization in the pharmaceutical sector. Startups are developing increasingly better tools to acquire, scrutinize, and apply large volumes of data towards bottlenecks in drug development. This drives the use of AI to automate data processing to solve complex clinical problems. The application of AI aids drug discovery, repurposing, side effects prediction, and clinical trials. It also assists in decision-making to determine the right therapy for patients, including personalized medicines. Overall, data-driven intelligent technologies make drug development procedures cost-effective, faster, and more productive.