Key points from article :
SomaLogic’s test uses protein measurements to categorise people from high to low risk.
“This is the new frontier of personalised medicine,” - Stephen Williams, lead researcher.
Used machine learning to analyse 5,000 proteins from 22,849 people.
Identified 27 proteins that predict the 4-year likelihood of heart attack, stroke, heart failure or death.
When validated in 11,609 individuals, the test has roughly twice the accuracy of existing risk scores.
Accurate assessement in people using medications for past illnesses.
“Treatments already exist; problem is matching them to the people who need them the most.”
Test determines whether patients’ existing medications are working or whether they need additional drugs to reduce their risk.
Eventually, it could assess how well experimental therapies were working.
Used in four healthcare systems in the US and could be introduced to the UK in the near future.
Research published in Science Translational Medicine.
