This on-demand webinar originally premiered as an Event by 20/15 Visioneers on February 16th, 2021;
In today’s highly complex Biopharmaceutical Research and Development Environment, Data is the common entity that drives Ideation, Simulation, Design, Synthesis, Analysis, and further Integrated Decision making. These highly complex data-driven organizations are challenged by not only the types of data (RCT, RWE, Omics) but the origin of data and the right to use this data (consent) in various scenarios, further complicated by geographical barriers or rules. For years organizations and groups have relied on data anonymization to prevent data origin or any potential personal details from being known. Simply put, this does not meet today’s security criteria. LeapYear has developed algorithms that not only ensure data privacy but also enable model quality data for use in machine learning.
The combination of regulatory frameworks (GDPR) and public perception makes ensuring proper use/handling of this data a strategic priority. However, leadership must balance the governance costs (time, restricting access, duplication of effort, removing info) with the validity/usefulness/timeliness of the data.
We discuss several high-value use cases that are enabled by implementing a new data exchange/sharing/access model based on LeapYear:
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