There has been an exponential increase in Biomarker research and applications over the last few decades. Much of this increase can be attributed to advancements in platforms used for biomarker detection, availability of dedicated samples and most recently advances in Data Science in including machine learning. A preview of the symposium talks in these areas is presented,
Learning Objectives:
Understand the unique bioanalytical methodologies and technical aspects used to assess PK and immunogenicity for a DARPin therapeutic in clinical development
Review the importance of the holistic approach to treating bioanalytical data and having both free and total pharmacokinetic measurements to aid the drug development progression.
Learn how decision making was implemented in real-time for a new therapeutic during the COVID-19 pandemic