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X-WR-CALDESC:Events for CITI Program
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SUMMARY:Multi-modal Modeling in Precision Medicine: From Data Imputation to Synthetic Data
DESCRIPTION:Join the NIH for an introduction to multi-modal data modeling\, an emerging approach that leverages large\, pre-trained AI foundation models to infer missing biomedical data and create realistic synthetic samples. The session will highlight how multi-modal modeling enables researchers to capture complex relationships across diverse data types\, such as omics and imaging\, supporting efficient\, in-silico investigation of disease processes while reducing reliance on expensive and time-intensive data collection. \nWhat You’ll Learn: \n\nHow cross-modal data modeling uses one data type (like imaging) to fill in gaps in another data type (like genomics).\nOngoing multi-modal modeling efforts in spatial omics\, digital pathology\, and radiology.\nHow multi-modal modeling is anticipated to help us better understand disease biology and improve healthcare practices.\n\nVisit the event page for more information.
URL:https://about.citiprogram.org/event/multi-modal-modeling-in-precision-medicine-from-data-imputation-to-synthetic-data/
LOCATION:Online
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