Will AI revolutionise pharmaceutical R&D?
Katrina Costa, MA (Oxon), MSc
Science Writer, Open Pharma Research Ltd. January 2021
In the last few decades, the generation of big data in the life sciences, coupled with rapid advances in data processing technology, has led to pharma’s interest in the promise of AI. Scientists hope AI will speed up drug discovery and help create better medicines. The move towards precision medicine will also accelerate the progress and adoption of AI as the industry becomes more focused on individual patient outcomes.
But is AI truly transformative?
Creating smart machines that think in a human-like way, using rules to mimic (and potentially replace) human intelligence is central to AI. An important application is Machine Learning (ML), in which computerised technology uses algorithms to ‘learn’ models based on ‘training’ data it encounters. These models are then used to make predictions or decisions without being directly programmed to do so. ML algorithms become increasingly effective with
This article is part of the Lab of the Future premium content section. It is free for registered users. Please register or submit below