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Machine Learning Prediction of Clinical Trial Operational Efficiency - The AAPS Journal SpringerLink remove preview Machine Learning Prediction of Clinical Trial Operational Efficiency - The AAPS Journal Clinical trials are the gatekeepers and bottlenecks of progress in medicine. In recent years, they have become increasingly complex and expensive, driven by a growing number of stakeholders requiring more endpoints, more diverse patient populations, and a stringent regulatory environment. View this on SpringerLink >

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Ho-Leung Fung Ph.D., FAAPS
Editor-in-Chief
University at Buffalo
Buffalo NY
[email protected]

Disclaimer: Opinions expressed are solely my own and do not express the views or opinions of my employer.
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