Within the complex and evolving therapeutic and competitive landscapes, there is a need for better methods of rapidly and more objectively assessing assets and portfolio positioning. The traditional approach uses secondary research and is a lengthy, manual process that is not objective and is potentially more prone to errors due to outdated or missed information.

In this webinar, data science experts will discuss how using artificial intelligence can assist teams with these and other challenges by:

• De-risking development strategy by informing key decisions based on competitive positioning
• Offering an objective, data-driven perspective that is updated regularly based on market events
• Optimizing trial strategy based on factors that increase or decrease an asset's probability of technical and regulatory success (PTRS)

Using AI/ML-based solutions, customers can:

• Perform fast, objective assessments of asset and portfolio positioning within therapeutic and competitive landscapes
• Gain competitive intelligence and rapid insights into approved assets, those which are soon to be in the market, and which are most likely to enter
• Better forecast the outcomes of clinical developments, avoid running costly trials that will fail and devote more resources to assets with a higher chance of obtaining regulatory approval

Speakers:

Lucas Glass
Vice President, Analytics Center of Excellence, IQVIA

Greg Lever
AI Solutions Delivery Director, IQVIA