Johns Hopkins scientists develop AI blood test for early silent liver disease detection
Updated
Updated · SciTechDaily · May 9
Johns Hopkins scientists develop AI blood test for early silent liver disease detection
9 articles · Updated · SciTechDaily · May 9
The prototype liquid biopsy, reported in Science Translational Medicine, analysed cell-free DNA fragment patterns from 1,576 people and about 40 million fragments per sample.
Researchers said it detected early liver disease, advanced fibrosis and cirrhosis with high sensitivity by reading genome-wide fragmentome signals rather than individual mutations.
The team said the approach could help address liver risks affecting an estimated 100 million Americans and may later be adapted for cardiovascular, inflammatory and neurodegenerative diseases, though it is not yet a clinical test.
If our blood's DNA 'dust' can predict liver disease, what other silent killers could this AI technology expose?
This AI test promises early detection, but could it lead to over-diagnosis and unnecessary anxiety for millions?
As AI decodes our health from blood, how will regulators balance rapid innovation with ensuring patient safety and privacy?