Harnessing the Power of AI to Anticipate Clinical Hurdles & Bring Cancer Drugs to Patients Faster

Cancer therapies dominate the drug market, generating high revenue while being critical in saving patient lives. That being said, developing a new cancer drug is both time-consuming and expensive. On average, the cost to create a cancer drug is $2.77 billion, and it typically takes 6-12 years to bring it to market. Driving this cost is the “translational gap”, where preclinical studies advancing candidates inaccurately anticipate clinical outcomes, resulting in a high clinical trial failure rate.

 

In this webinar, OncoSpherix, a developer of first-in-class oncology treatments, will discuss how they used AI to reveal insights into pharmacokinetic anomalies associated with their initial lead compound and understand metabolic influences on the candidate’s mechanism of action. With this valuable information, OncoSpherix guided the development of their lead compound toward a promising prodrug variant with higher likely success characteristics for clinical use.

 

In this webinar, attendees will learn…