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Life Sciences model helps scientists make faster and better decisions by combining structured data retrieval, literature search, and scientific analysis into a repeatable workflow in Codex. In this instance, the Life Sciences model is [music] asked to compare and prioritize three targets: compare and prioritize three targets: IL-33, TSLP, and IL-1 RA1 for asthma. It starts with an internal evidence package, which includes internal assay results, biomarker strategy, tractability and 
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biomarker strategy, tractability and safety, as well as a target product profile. The Life Sciences model gives a crisp, top-line recommendation. It ranks the [music] targets and grounds the recommendation based on the local data files found. Codex also implies that there's an opportunity to expand upon [music] additional evidence around human genetics or target disease evidence. The Life Sciences model can also 
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leverage the Life Sciences [music] research plugin to pull in additional relevant evidence. The model has been trained on when best to invoke appropriate Life Sciences skills, as well as how to synthesize the outputs of those skills. Let's also leverage the power of Codex to spawn sub-agents to tackle [music] each lane of evidence. That keeps the genetics, translational biology, regulatory context, and other criteria separate and unbiased [music] until the final synthesis. The Life Sciences model has directed 
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Pascal to be responsible for all of the human genetics evidence that should be leveraged in comparing [music] the three asthma targets. It correctly outlines a list of skills that are relevant in order to pull in the right level of human genetic evidence. Once all of the six agents that have been sub-spawned have completed [music] their output, the total outputs will be synthesized in order to generate a final order to generate a final prioritization. By leveraging the output from a variety 
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of databases, the model is able to surface locus-to-gene context, follow signals across cohorts, bring in target disease evidence, and literature to help resolve ambiguity. resolve ambiguity. >> [music] [music] >> The Life Sciences model is primed with greater thinking and bio-intelligence for [music] complex scientific tasks. >> [music]