Artificial intelligence (AI), machine learning (ML), automation, and data analytics have the potential to improve many areas of medicine, with drug development and discovery as a principal focus. The use of these technologies can make drug development faster, cheaper, and more efficient. 

Given their transformative potential, industry players need to prepare for a not-so-distant-future in which these technologies will be routinely used. This case study will:

• Teach you how these modalities are creating significant value
• Help you determine where and how these new tools can be utilized to accelerate the pace of drug development, raise profits, and get medicines into the market faster
• Learn the different AI/ML technologies available in biopharma R&D
• What are the benefits and drawbacks of each