7 November 2019 - Artificial intelligence has become a crucial part of our technological infrastructure and the brain underlying many consumer devices. 

In less than a decade, machine learning algorithms based on deep neural networks evolved from recognising cats in videos to enabling your smartphone to perform real-time translation between 27 different languages. This progress has sparked the use of AI in drug discovery and development.

Artificial intelligence can improve efficiency and outcomes in drug development across therapeutic areas. For example, companies are developing AI technologies that hold the promise of preventing serious adverse events in clinical trials by identifying high-risk individuals before they enrol. Clinical trials could be made more efficient by using artificial intelligence to incorporate other data sources, such as historical control arms or real-world data. AI technologies could also be used to magnify therapeutic responses by identifying biomarkers that enable precise targeting of patient subpopulations in complex indications.

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