Artificial intelligence is transforming drug discovery and clinical medicine - but AI is only as powerful as the data underlying it. The next frontier is not bigger datasets: it is spatially resolved datasets. Spatial multi-omics technologies can now simultaneously capture gene expression, chromatin accessibility, DNA methylation, and protein abundance with precise X-Y tissue coordinates, creating a new class of tissue-level foundation models that transcend models based on bulk and single-cell data.
This panel brings together five leading scientists and technologists from Yale, Columbia, IAS Princeton, and KAUST to explore a pivotal question: How will spatial multi-omics reshape AI models for disease treatment across diverse ancestral backgrounds, and accelerate drug discovery from target identification to clinical validation?
This event is a part of #NYTechWeek—a week of events hosted by VCs and startups to bring together the tech ecosystem. Learn more at www.tech-week.com.
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