Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Discover how machine learning models developed from diverse medical data enable personalized cancer treatment to extend patient survival through Imprimed's innovative technology and products in this 15-minute conference talk from SK AI SUMMIT 2024. Learn about the rapid growth of multi-modal AI in medical applications that uses various biomarkers to predict patient treatment responses and survival outcomes. Explore the critical factors in ML model development, including optimal input value selection and methods, as well as the importance of collecting and organizing comprehensive real patient treatment outcome data for model training. Understand Imprimed's proprietary solution technology that maintains blood cancer patient cells ex vivo to generate diverse input values, and examine their collaboration with leading domestic and international hospitals to secure large-scale patient treatment information. Review the newly discovered biomarkers and ML model-based results that have significantly improved treatment effectiveness and survival extension for both human and animal cancer patients, presented by Imprimed co-founder and CEO Sung Won Lim, who holds advanced degrees from KAIST, UC Berkeley-UCSF, and Stanford University.
