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How AI is Accelerating the Need for Real World Data in Healthcare and Life Sciences

Summary by MedCity News

Considering the lack of high quality data, companies that excel in compiling and managing data effectively are attracting interest from industry partners and distinguishing themselves from their rivals. Here are some of the ways emerging AI applications are fueling and redefining the need for RWD across HCLS. The post How AI is Accelerating the Need for Real World Data in Healthcare and Life Sciences appeared first on MedCity News.

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healtheconomics.com

AI in Real-World Data Analytics: The Quiet Threats of Re-identification and Synthetic Data

By: Jennifer Hinkel, MSc, President, Sigla Sciences AI and machine learning (ML) are rapidly transforming how biopharma companies leverage real-world data (RWD) for Health Economics and Outcomes Research (HEOR) as well as for early-stage discovery and general research. AI/ML algorithms can now parse through vast datasets with incredible speed, uncovering insights previously hidden beneath the sheer volume of data. At the same time, this enhanced…

14 days ago

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