Showing 106-110 of 121 real-world data insights & analytics:
OM1 Lupus Registry Reaches More Than 25,000 Patients Prospectively Followed With Deep Clinical And Lab Data

OM1 LUPUS REGISTRY REACHES MORE THAN 25,000 PATIENTS PROSPECTIVELY FOLLOWED WITH DEEP CLINICAL AND LAB DATA Ready for collaborations, the registry enables faster, more cost-effective access to research-grade lupus data for better understanding, comparing, and predicting treatment outcomes BOSTON, October 17, 2018 — OM1, a leading health outcomes, registries and technology company creating solutions to[…]

Using Big Data Like Biomarkers to Advance Clinical Development & Commercialization

March 28, 2018 – 2 PM ET What if you could use predictive models like biomarkers to pre-emptively screen and more effectively target patients who are more likely to respond to your drug in trials and in practice? What if you could rapidly answer questions on comparative treatment outcomes and predict those most likely to[…]

Artificial Intelligence for Real-World Evidence

Published on HealthEconomics.com on January 3, 2018   As artificial intelligence (AI) and Big Data are lauded for their potential uses in life sciences and healthcare, it is becoming difficult to differentiate between the myriad of terms and technologies and their real value in advancing real-world evidence (RWE).   In this article, we explore key AI[…]

AI & Big Data: Transforming Real-World Evidence’s Impact on Decision Making

November 28, 2017 – Dr. Richard Gliklich As artificial intelligence and advanced analytics are increasingly lauded for uses in life sciences and healthcare, it’s becoming difficult to differentiate between the different terms, to understand what is real and what is hype, and to understand how to best leverage these technologies for advancing real-world evidence and[…]

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