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Over the last two years Dr Slavé Petrovski has developed an AI platform called Milton that, using biomarkers in the UK biobank data to identify 120 diseases with a success rate of over 90%.

While biobank data cannot replace randomized controlled trials, they can unlock new information that can improve future studies and advance the evolving field of using genetics to predict treatment outcomes, Sadowski said.

"We expect that the analysis of biobank data will be most useful for widely prescribed drugs."

During the study, researchers developed genetic predictors of psychiatric disorders using data from large-scale genetic studies including the psychiatric genomics consortium, genetic health and biopharmaceutical company 23andMe, and UK BioBank, a large-scale biomedical database and research resource containing anonymised genetic, lifestyle and health information from half a million consenting UK participants.

In order to understand why some patients survive and others do not, Kim and colleagues began to build a biobank -- a repository of cryopreserved cells donated by patients with consent from their families just hours after their cardiac arrest.