As CEO of Lifebit, our federated AI platform integrates global oncology genomic and multi-omic data, revealing tumor biology patterns in early-onset CRC like distinct mutational profiles from diverse real-world datasets. Early-life exposures link to rising incidence through genomic evidence of altered pathways, as seen in our analyses of scattered EHRs and pathology data showing environmental influences on non-European ancestries underrepresented in over 80% of studies. Risk stratification gaps stem from data silos limiting federated analysis of younger cohorts; clinicians should prioritize genomic profiling in TREs for early detection, harmonizing phenotypic and imaging data pre-diagnosis. Post-diagnosis, we address modifiable factors via AI-driven RWD insights, recommending vitamin D optimization and lifestyle integration into personalized plans, drawing from our oncology workflows predicting outcomes.