Between Two Scientists: Care During Pregnancy – How RWD Can Help Balance the Needs of Mom and Baby
How Machine Learning Strengthens Real-World Data and Disease Identification: 5 Use Cases in 5 Minutes
Machine learning is a powerful tool in the life sciences industry, making evidence generation more efficient and precise and bolstering real-world data (RWD) to identify diseases earlier, trigger timely interventions, and recommend screenings and physician referrals. Our blog series, How Life Sciences is Leveraging Machine Learning: 5 Use Cases in 5 Minutes, explores five recent studies […]
Linking Real-World Data is Like Making a Fine, Blended Wine
In the healthcare and life sciences industries, developments like the explosion of real-world data, new regulatory programs and frameworks, and a focus on AI and machine learning are fueling a transformation. Our podcast series, “Between Two Scientists,” explores why these changes are happening, and how the industry can respond, by interviewing experts in the field. […]
Between Two Scientists – Episode #1
Listen to Episode #1 The healthcare and life sciences industries are currently experiencing transformative times of growth. The explosion of real-world data, new regulatory programs and frameworks, and a focus on AI and machine learning are only a few of the factors contributing to this rapidly evolving landscape. In this podcast – we’re aiming to […]
Harnessing the Power of Real-World Data to Create Actionable Real-World Evidence
How Machine Learning is Being Leveraged to Analyze Real-World Data
Applying State-of-the-Art Survival Extrapolation Techniques to the Evaluation of CAR-T Therapies: Evidence from a Systematic Literature Review
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How Real-World Data Can Help Us Better Prepare for the Next Pandemic
In this Scientific American article, Joseph Menzin, PhD and Peter Neumann, ScD discuss how real-world data can help us better prepare for a future pandemic. The authors highlight how rapid testing is important, but that there’s a wealth of other information that could have offered us quicker insight into the spread of COVID. Menzin and […]
Gaining Rapid Understanding of COVID-19 Through a Real-world Data Lens
In this Healthcare IT Today article, Joseph Menzin, PhD, dives into the COVID-19 pandemic and the need for more timely data in the course of emergency situations. The success of those efforts will largely depend on gleaning information from the real-world data (RWD) being collected on COVID-19 patients. Joseph’s report compares the underlying conditions most […]
Estimated Lifetime Economic Burden of Type 1 Diabetes
Authors: Matthew Sussman, Jennifer Benner, Dr. Michael Haller, Dr. Marian Rewers, Dr. Robert Griffiths Published: Diabetes Technology & Therapeutics Click here to view the article.