HealthIT Answers November 29, 2022
Much has been written about the application of Artificial Intelligence and Machine Learning (AI/ML) in clinical development, and at first glance it is an obvious area of focus. Successful use of AI/ML capability requires vast amounts of data, and there have been more than 400,000 clinical studies registered globally since the beginning of the century. This number is growing at a good pace, generating a very considerable data set across many therapeutic areas and patient cohorts. In practice it has not been that straightforward. The data is of course widely dispersed, of mixed and often questionable quality and organizations’ capability to use this data effectively has been limited, to put it mildly. That doesn’t make it any less relevant, and...
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