pharmaphorum September 11, 2024
Phil Taylor

A machine-learning tool developed by AstraZeneca and trained on UK Biobank health record data could predict over 1,000 diseases, before diagnosis, according to a paper in Nature Genetics.

Called MILTON – short for MachIne Learning with phenoType associatiONs – the AI can predict whether individuals are more likely to have and be diagnosed with certain diseases based on 67 biomarkers that are routinely collected during clinical practice. That includes blood biochemistry, blood counts, respiratory function scores, blood pressure variables, and other measures like age, sex, body size and fasting time.

In the study, MILTON was used to analyse 3,200 diseases and achieved a high prediction score for 1,091 of them. It can be applied to any biobank, irrespective of genomic...

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Topics: AI (Artificial Intelligence), Biotechnology, Patient / Consumer, Pharma, Pharma / Biotech, Provider, Technology
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