
GenAI shows promise in drug discovery, but cutting through the noise to understand where it’s truly making an impact can be difficult. This webinar will focus on how genAI is being applied in practical ways today, from designing novel molecules to predicting toxicity and extracting knowledge from complex datasets.
Asha Mahesh from Johnson & Johnson will share what it takes to make genAI useful and usable in discovery science. Join the webinar to:
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Learn which genAI use cases already deliver value across early discovery workflows and which remain aspirational
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Understand the foundational infrastructure, data strategy, and talent needed to support genAI at scale
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Get a realistic view of genAI’s limitations and what to watch for as the technology matures
Speaker
Asha Mahesh, Senior Director R&D Data Science & Digital Health, Privacy & AI Ethics, Johnson & Johnson
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