More data is being generated than can be analysed - but enough of it is being studied to spot patterns in behaviour and genes to speed up drug discovery and development.
Though the data scientists need to make sure they feed in the right data. For example, in a study designed to detect hip fractures, it turned out the AI was using the patient's age and particularly the imaging device model to make its prediction. This worked because portable scanners are only used then the patient is too immobile to get to a hospital - and this limitation turned out to be a bigger indicator than any details on the image itself.
Algorithms creating discrimination in the US healthcare system
Wired - 24-Oct-2019
Software guidance for patients gives privileges to white patients over black patientsRead more...
Nanalyze looks at Insilico Medicine's AlphaGo moment in pharma
Nanalyze - 09-Oct-2019
From lab to clinic in 2 years instead of 10 would have a huge impact on healthRead more...
SkinVision app uses machine-learning to identify risk of skin cancer early
Digital Health - 08-Oct-2019
Trained on over 3 million photos - no human specialist has ever reviewed that manyRead more...