Large Quantitative Models with SandboxAQ - Life Sciences Today Podcast Episode 39
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We’re excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is Tiffany Callahan, Lead Architect of Agentic AI Systems at SandboxAQ. As a physicist, I love her approach to Large Quantitative Models trained on physics, chemistry, biology, and math to model the real world.
Most of the companies in this space are building statistical models by:
- integrating large datasets for target identification by analyzing genomic and multi-omic data
- virtual screening to identify promising drug candidates
- novel molecule design and property prediction (toxicity, efficacy, pharmacokinetics)
- clinical trial optimization through patient selection and outcome prediction
- drug repurposing by finding new uses for existing drugs
Check out the main topics of discussion for this episode of the Life Sciences Today podcast:
- Tell me about your journey.
- Tell me about SAIR.
- Who are your customers?
- How do you create value?
- How do you capture value from customers?
- What are three things you want to do for your customers in the next 12-18 months?
Now, without further ado, we’re excited to share with you the next episode of the Life Sciences Today podcast.
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Thanks so much for listening!