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Publication
Jeffrey M. Conroy, Sarabjot Pabla, Sean T. Glenn, R. J. Seager, Erik Van Roey, Shuang Gao, Blake Burgher, Jonathan Andreas, Vincent Giamo, Melissa Mallon, Yong Hee Lee, Paul DePietro, Mary Nesline6, Yirong Wang, Felicia L. Lenzo, Roger Klein, Shengle Zhang
<span>Labcorp and ConcertAI optimize precision oncology research with real-world data and artificial intelligence</span>
December 1, 2021

Labcorp and ConcertAI optimize precision oncology research with real-world data and artificial intelligence

BURLINGTON, N.C. & CAMBRIDGE, Mass. --(BUSINESS WIRE)--Dec. 1, 2021-- Labcorp (NYSE: LH), a leading global life sciences company, and ConcertAI, LLC (ConcertAI), a leader in enterprise artificial intelligence (AI) and real-world data (RWD) solutions for life science companies and health care providers, today announced a collaboration to optimize precision oncology research. The companies will work together to launch clinical studies in ways that minimize the burden on physician practices, drive faster patient recruitment, maximize patient retention and ensure equitable access to research as a care option.
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Poster
Event: The Society for Immunotherapy of Cancer’s (SITC) 36th Annual Meeting
Poster
Event: The Society for Immunotherapy of Cancer’s (SITC) 36th Annual Meeting
Poster
Event: The Society for Immunotherapy of Cancer’s (SITC) 36th Annual Meeting

10 November 2021 | 10:00 am EST

Webinar

DCT and Digital Measures in Oncology: Meeting the Challenges of Compiling Oncology Trial Data to Cut Medical Review Time

For those individuals fighting cancer, the opportunity to enroll in a clinical trial is often later in their treatment pathway, so there can be considerable safety concerns and the need to collect and monitor a large amount of data. In this webinar, you will learn how Labcorp Oncology has developed a centralized data processing mechanism that enables it to derive actionable insights from data as soon as it becomes available, to monitor quality, patient-level information as well as in aggregated form to show trends and patterns per outcome. 

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