The use of AI in the pharmaceutical industry for the design and development of drugs is increasing. From making small molecules to determining novel biological targets, AI plays a prominent role in drug target identification and validation. It is widely used for multi-target drug innovation and biomarker identification in an efficient way with great accuracy. A discussion paper by FDA was released to seek feedback for guidance on the applications of AI methodologies. This is a critical need today as the pharmaceutical industry catapults into this new and exciting area. This session will provide an overview of important considerations.
Learning Objectives:
To discuss how historical data, patterns can help to make accurate predictions and decisions.
To be aware of new challenges working with AI and ML and the factors influencing the prediction or decisions.
To address ethical considerations and ensure that the technology is used responsibly.