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…
-
General11 hours ago
China and Philippines trade blame over latest South China Sea clash
-
General22 hours ago
Three maps that show the scale of the NSW flood disaster
-
General12 hours ago
Small plane crashes into San Diego neighbourhood, setting homes and vehicles on fire
-
Noosa News21 hours ago
Confusion over licensing and access to hunting grounds under WA’s strict gun laws