Summary:

«Risk-based quality management is a data monitoring approach that accelerates the drug development pathway without compromising on safety – and one that is enhanced by the use of technologies such as artificial intelligence.»

«Machine learning (ML) uses computer algorithms to achieve AI, i.e., a computer learning and mimicking human cognitive skills. ML models are designed to extract knowledge from large datasets and use this knowledge to make predictions on new or unseen data. It is particularly suited to tasks that cannot be solved by simple rule-based solutions meaning it naturally applies to healthcare, where decisions rely on complex processes.»

Article written by NICOLAS HUET, STEVE YOUNG AND LAURA TROTTA

16|11|2022

Source:

Med City News

https://medcitynews.com/2022/11/machine-learning-an-essential-tool-in-the-shift-to-risk-based-quality-management/