While researchers and care teams have been tackling the challenge of breast and other cancers for decades, today something is genuinely different in how organizations fight cancer. I've spent time with oncology researchers, health systems and life sciences companies, and overwhelmingly, the conversation has shifted from “We have a lot of data” and “How do we organize our data?” to “What can our systems do with it?”
Official announcementSnowflake Blog
From Discovery to Remission: How Agentic AI Is Reshaping the Oncology Continuum
From the official release
Oncology generates more heterogeneous, high-stakes data than almost any other domain. Genomic sequences, pathology images, clinical notes, claims records and wearable signals have historically worked against clinicians rather than for them, fragmented across systems and slow to assemble when decisions matter most.
This is a short excerpt. Read the full announcement on the official source.
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