Webinar
Transforming drug development with statistical science
Summer Shorts Webinar Series
In this webinar, we explored advanced statistical methods and applications of computational biology to create clinical trials that are more efficient, cost-effective, and likely to succeed, ultimately benefiting both patients and companies developing innovative products. We also discussed how artificial intelligence and machine learning can support these objectives.
In this webinar, we explored advanced statistical methods and applications of computational biology to create clinical trials that are more efficient, cost-effective, and likely to succeed, ultimately benefiting both patients and companies developing innovative products. We also discussed how artificial intelligence and machine learning can support these objectives.
Key insights
Our speakers covered several use cases, including complex innovative trial designs and the application of Bayesian statistics to potentially accelerate drug development. We examined the use of biomarkers and pharmacogenomics for patient enrichment and stratification strategies, as well as statistical assessments to evaluate the immunogenicity response to drug products. Chris Englerth, our Director of Global Consulting Services, moderated the session alongside Lin Li, our Head of Clinical Statistics & Computational Biology.
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