Digital Transformation Hub

Jan 31 2019 1 min

Machine learning and therapeutics 2.0: Avoiding hype, realizing potential

The US healthcare system generates approximately one trillion gigabytes of data annually.1 These prodigious quantities of data have been accompanied by an increase in cheap, large-scale computing power. Together, they raise the possibility that artificial intelligence—and machine learning, in particular—can generate insights both to improve the discovery of new therapeutics and to make the delivery of current ones more effective.

A great insight into a potential of using Machine Learning in Healthcare Industry. Practical six levers presented; data quality, reproducible results, transparent algorithms, credible algorithms, algorithms with impact and fair algorithms.


The article: Machine learning and therapeutics 2.0: Avoiding hype, realizing potential

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