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      A label-free imaging platform with AI for rapidly screening compounds in primary cells.

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      Explainable machine learning and screening of personalized therapeutic hypotheses at scale.

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      Screening for variant enrichment across conditions by multiplexed sequencing.

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      Uncovering how genetic variation shapes cellular states, interactions, and disease risk.

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      Cross-disciplinary roundtable on generating and interpreting large-scale data

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      Cancer data science on-ramp for life scientists

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Supported in part by the Koch Institute Support (core) Grant P30-CA014051 from the National Cancer Institute

This lab was supported by the contribution of reagents from Selleck Chemicals