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Author: Vikas Kumar
June 27, 2024
The drug discovery industry has been undergoing a significant transformation in recent years, thanks to the advent of artificial intelligence (AI). AI has the potential to revolutionize the way drugs are discovered, developed, and brought to market. The drug discovery process is a complex and time-consuming endeavor, often taking up to 15 years and costing billions of dollars to bring a new drug to market. AI has emerged as a powerful tool to streamline this process, by automating various stages of drug discovery, such as target identification, lead generation, and optimization.
Access sample report (including graphs, charts, and figures): https://univdatos.com/reports/artificial-intelligence-in-drug-discovery-market?popup=report-enquiry

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Artificial intelligence is transforming the drug discovery industry, revolutionizing the way new treatments are identified, developed, and delivered. By automating complex tasks, improving data analysis, and enabling the development of personalized therapies, AI has the potential to accelerate drug discovery timelines, improve treatment outcomes, and reduce healthcare costs. However, addressing the challenges of data quality, algorithm bias, technological expertise, and regulatory considerations is essential to harness the full potential of AI in the pharmaceutical industry. According to the UnivDatos benefits of Growing need to control drug discovery and development costs and reduce time involved in drug development will drive the global scenario of the Industry and AI in Drug Discovery and per their “AI in Drug Discovery Market” report, the global industry was valued at USD 750 Million in 2022, growing at a CAGR of 42% during the forecast period from 2023 – 2030 to reach USD billion by 2030.
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