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NEW YORK – Pancreatic cancer risk prediction models based on clinical factors may be refined and improved by bringing in other types of data, including germline genetic risk variant and blood-based biomarker data, according to an international team led by investigators at the Harvard T.H. Chan School and Public Health and the Dana-Farber Cancer Institute.

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Sponsored by
NanoString

Join this webinar to learn how spatial resolution of gene expression in tumor tissue reveals new insights in biomarker discovery and therapeutic response. 

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Sponsored by
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