SOURCE-LINKED INTELLIGENCE

Federated artificial intelligence for privacy-preserving international stratification of colorectal cancer patients

CORDIS · observation · Publication date unknown

Federated artificial intelligence for privacy-preserving international stratification of colorectal cancer patients In the EU, 1 in 35 women and 1 in 23 men will be diagnosed with colorectal cancer (CRC) in their life span (ca. 340,000 cases and 156,000 deaths in 2020) causing an annual economic burden of ca. 20 billion EUR. Identifying CRC early enables better treatment options. Screening usually entails a quantitative faecal immunological test (FIT) to predict the need of colonoscopy for the detection of colorectal lesions, an expensive and invasive procedure. We aim to predict this need with specificity increased by >20 percentage points by using metagenomic microbiomes. We hypothesise that computational microbiome profiles extracted using artificial intelligence (Al) technology will allow for optimised personal therapy stratification. However, clinicians do not have access to broad microbiome

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recordType

award

status

SIGNED

region

EU

value

5996700.25

unit

EUR