Maximizing Human Predictability from In Vivo Pharmacology Studies

Title : Maximizing Human Predictability from In Vivo Pharmacology Studies

Webinar Overview :

Translating animal data to human outcomes remains a major challenge in drug development. In our in vivo pharmacology studies, we employ the following strategies to enhance the relevance and predictability of preclinical findings for human clinical settings:

• Drawing on our experience from over 1000 drug discovery projects to select the most suitable disease models and assays
• Selecting disease models and genetically engineered animals that closely replicate human disease conditions
• Utilizing animals with humanized immune systems and target proteins
• Applying clinical-grade devices and parameters in efficacy assessments
• Conducting comprehensive evaluations of mechanisms of action (MOA) and potential side effects alongside efficacy studies to minimize the risk of clinical trial failure

In this webinar, our first speaker will provide an overview of these approaches, followed by a case study on anti-obesity drug development presented by our second speaker.

Key Takeaways

• Gain practical strategies to enhance the clinical relevance of in vivo Pharmacology studies, including how to select appropriate disease models, apply humanized models, adopt clinical-grade approaches, and integrate MOA and side effect evaluation
• Learn from real-world experience drawn from over 1,000 drug discovery projects, including a focused case study on anti-obesity drug development