Health
New test uses machine learning to predict premature births – BBC Focus Magazine
Researchers trained the technology to spot a condition associated with increased risk of premature births, even in women who had no symptoms of the condition.
Machine learning has been used to develop a pioneering test which accurately predicted potential premature births in almost three-quarters of women with an asymptomatic high risk.
Researchers at the University of Warwick trained a device to look for chemical vapour patterns associated with pre-term birth, using vaginal swabs taken during routine examinations.
After analysing swabs from 216 asymptomatic women, it forecast an outcome of premature delivery in 73 per cent of cases, set out in find…
-
Noosa News14 hours agoChild, 15, arrested over death of another child, 8, after shocking e-bike crash in Queensland
-
General12 hours agoCrowe toasts talkback titan for platforming ‘voiceless’
-
Noosa News14 hours agoLyka Doggie Date Night at Moonlight Cinema
-
Business15 hours agoSolid superannuation gains continue to roll in