Preparing Life Sciences Data for AI Applications
Artificial intelligence (AI) has the potential to fundamentally change healthcare and the life sciences that underpin it. Digital twins and computer vision are already proving better than humans at the prediction of disease or acute medical events, diagnosis of existing diseases and injuries, and design of potential treatments. There are two substantial roadblocks to the wider application of AI in healthcare. One is regulatory red tape, and one is the state of the data that will be necessary to train AI models.
Laboratory informatics professionals have little control over the regulatory environment. But the data is something that could be prepared now for its potential application in AI models, if and when that regulatory environment changes.
