1.WHAT IS AI’S IMPACT?
In recent years, AI has emerged as a formidable tool with proven potential to address many existing challenges. As a result, pharmaceutical companies have started implementing AI-based tools to better inform their pharmaceutical R&D operations using available chemical and biological data.
2.HOW AI HELPS ?
Various AI-based techniques such as machine learning, deep learning, supervised learning, unsupervised learning, and natural language processing are currently being used at different stages of the drug development process.
3.WHY AI IMPORTANT FOR DRUG DEVELOPMENT?
AI-based solutions combine with deep learning algorithms to generate actionable insights for targeting, generating visits, and optimizing leads. These solutions are expected to increase overall R&D productivity and reduce clinical failure of product candidates.