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GENOMICS-EMPOWERED AI FOR PERSONALIZED CANCER RISK ASSESSMENT, MONITORING, AND PREVENTION - PROJECT SUMMARY THIS PROPOSED MAGEN DEVELOPMENT SITE AIMS TO DEVELOP GENOMICS AND MULTI-MODAL ARTIFICIAL INTELLIGENCE (AI) MODEL

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GENOMICS-EMPOWERED AI FOR PERSONALIZED CANCER RISK ASSESSMENT, MONITORING, AND PREVENTION - PROJECT SUMMARY THIS PROPOSED MAGEN DEVELOPMENT SITE AIMS TO DEVELOP GENOMICS AND MULTI-MODAL ARTIFICIAL INTELLIGENCE (AI) MODELS TO TRANSFORM PERSONALIZED CANCER RISK ASSESSMENT, MONITORING, AND PREVENTION. A SUBSTANTIAL GAP EXISTS BETWEEN THE THEORETICAL POTENTIAL OF GENOMICS-BASED AI PREDICTIONS AND THEIR PRACTICAL APPLICATION IN CLINICAL AND POPULATION HEALTHCARE SETTINGS. THE CLINICAL CLASSIFICATION OF GENETIC VARIANTS IS HINDERED BY INSUFFICIENT DATA TO CLASSIFY ULTRA-RARE VARIANTS, PARTICULARLY T

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