Webinar Date/Time: Wednesday, September 25th, 2024 at 10am EDT | 7am PDT | 3pm BST | 4pm CEST
Do you know how AI can inform clinical development planning and drive competitive advantage? In this webinar, learn how AI can be used to simulate clinical development pathways, from pre-clinical all the way to post launch, helping to inform clinical development planning to optimize speed, cost and value.
Register Free: https://www.pharmexec.com/pe_w/successful-clinical-development
Event Overview:
As clinical trials increase in complexity and the race to market intensifies, AI/ML methodologies can provide insights that support the probability of technical, regulatory and even commercial success. Predictive modeling, generative AI and other techniques can be layered to help sponsors objectively assess their assets, design better trials and develop strategies to increase speed and value, while reducing costs. This webinar provides an overview of the many ways AI/ML can be applied throughout R&D to guide sponsors in their decision making.
Three key take-aways
Speaker:
Raja Shankar
VP, Machine Learning
IQVIA
Raja is focused on transforming life sciences with Applied AI. As the VP for Machine Learning, Raja is determined to change healthcare with the power of AI. He believes that imagination is the biggest barrier and motivates his team to create new narratives that fully leverage AI's potential to reshape the industry from R&D through to commercialization. Raja brings together a diverse set of technical and strategic capabilities, including Machine Learning, Deep Learning, Generative AI, Product Development, Life Sciences Expertise and Business Consulting Skills. His team combines data science, domain expertise and consulting skills to create "superhero" change makers who drive impactful change by applying AI to life sciences and healthcare decisions. Raja is a trusted advisor to global life sciences companies, public sector clients, as well as international organizations.
Register Free: https://www.pharmexec.com/pe_w/successful-clinical-development
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