📢 𝗝𝗨𝗦𝗧 𝗜𝗡: $ORCL ORACLE and Buck Institute Partner to Advance AI-Driven Aging Research 👉 𝗞𝗲𝘆 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: ➤ 𝗢𝗿𝗮𝗰𝗹𝗲 and 𝗕𝘂𝗰𝗸 𝗜𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗲 collaborate on predictive aging research. ➤ Buck will use 𝗢𝗿𝗮𝗰𝗹𝗲 𝗟𝗶𝗳𝗲 𝗦𝗰𝗶𝗲𝗻𝗰𝗲𝘀 𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲. ➤ Platform encompasses over 𝟭𝟮𝟮 𝗺𝗶𝗹𝗹𝗶𝗼𝗻 de-identified longitudinal health records. ➤ Researchers aim to identify biomarkers enabling 𝗲𝗮𝗿𝗹𝘆 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 and intervention. ➤ Research targets the first FDA-grade 𝗜𝗻𝘁𝗿𝗶𝗻𝘀𝗶𝗰 𝗖𝗮𝗽𝗮𝗰𝗶𝘁𝘆 𝗦𝗰𝗼𝗿𝗲. ➤ Researchers plan models predicting 𝗮𝗴𝗲-𝗿𝗲𝗹𝗮𝘁𝗲𝗱 𝗿𝗶𝘀𝗸 before disease onset. ➤ Collaboration supports the Stanford-led 𝗧𝗛𝗥𝗜𝗩𝗘 research consortium. ➤ THRIVE is part of 𝗔𝗥𝗣𝗔-𝗛'𝘀 𝗣𝗥𝗢𝗦𝗣𝗥 program. ➤ Oracle's platform combines 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 with real-world health data analytics. 👉 𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀: ➤ Could shift aging research toward earlier, 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 healthcare interventions. ➤ Large-scale longitudinal data could reveal signals years before 𝗰𝗵𝗿𝗼𝗻𝗶𝗰 𝗱𝗶𝘀𝗲𝗮𝘀𝗲. ➤ A validated vitality score could provide a standardized measure of 𝗵𝗲𝗮𝗹𝘁𝗵𝘆 𝗮𝗴𝗶𝗻𝗴. ➤ Research could accelerate identification and clinical testing of 𝗮𝗴𝗶𝗻𝗴-𝗿𝗲𝗹𝗮𝘁𝗲𝗱 interventions. 👉 𝗘𝘅𝗽𝗲𝗿𝘁 𝗦𝘁𝗮𝘁𝗲𝗺𝗲𝗻𝘁𝘀: 𝗗𝗿. 𝗗𝗮𝘃𝗶𝗱 𝗙𝘂𝗿𝗺𝗮𝗻, 𝗣𝗵𝗗, Buck Institute for Research on Aging: "Understanding how and why we age is one of the most complex challenges in modern medicine," said Dr. David Furman, PhD, Buck Institute for Research on Aging. "Having the right solution and accessible patient data to aid in the study, discovery, and measurement of health span is essential. Oracle Life Sciences Data Intelligence, together with the depth and breadth of its real-world data, will enable us to begin to link early clinical signals and long-term outcomes. We hope to fundamentally change how to predict, delay, and address age-related decline." 𝗦𝗲𝗲𝗺𝗮 𝗩𝗲𝗿𝗺𝗮, Executive Vice President and General Manager, Oracle Health and Life Sciences: "Buck Institute is helping lead one of the most ambitious efforts to transform research on aging into a predictive science, and Oracle is proud to provide the data and analytics foundation to accelerate this work," said Seema Verma, executive vice president and general manager, Oracle Health and Life Sciences. "By combining advanced AI-driven analytics with one of the industry's largest collections of de-identified longitudinal real-world health data, our solution can help researchers uncover earlier signals of age-related decline. This collaboration could reshape how we understand aging, and how to aid early intervention research to help people live healthier, longer lives."