Artificial intelligence (AI) has the potential to transform the pharmaceutical industry. There are a growing number of applications that address target and drug discovery, preclinical and clinical development, and post-approval activities using AI technologies. The use of AI in life sciences, especially in the field of drug discovery, is set to become widespread within the next decade.
Within life sciences, AI is applied to four major approaches:
Drug R&D is a very complicated, costly and time-consuming attempt. AI and machine learning used in the early stages of drug discovery and development has the potential for various needs. Through big data analysis and other technical means, this AI-powered drug discovery platform can quickly and accurately mine data and select the appropriate lead compounds. Compared with traditional methods, AI system can help customers save the cost of screening candidates by tens of billions every year, which can be widely used in various scenarios regarding drug development.
Figure 1 Drug Lifecycle
AI & Medicine, a division of Protheragen, proudly announced that it has successfully developed a unique artificial intelligence (AI) drug discovery platform, offering drug research and development solutions for medical institutions and pharmaceutical enterprises worldwide.
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