Smartphone app predicts IVF success
WANT to know your chance of having a baby through in-vitro fertilization? There's an app for that.
British researchers have devised a formula which they say gives a highly accurate prediction of the potential success of IVF, to help couples decide whether to try the treatment.
They have made it available online as a simple computer calculator application, and say it will soon be available for download on Apple's iPhones and other mobiles.
Scientists from the Universities of Glasgow and Bristol analyzed the details of more than 144,000 IVF cycles to produce a statistical model that can give a prediction of live birth which is up to 99 percent accurate.
"Treatment-specific factors can be used to provide infertile couples with a very accurate assessment of their chance of a successful outcome -following IVF," said Scott Nelson from the University of Glasgow, who led the research.
Nelson said that until now, estimates of success have not been very reliable.
The formula takes into account the woman's age, number of years trying to get pregnant, whether she is using her own eggs, the cause of infertility, the number of previous IVF cycles and whether she has previously been pregnant or had a baby. "The result of this study is a tool which can be used to make incredibly accurate predictions," Nelson said in a statement.
The calculator is available free at www.ivfpredict.com. Applications for smartphones are coming soon, so users "can discuss the results with clinicians in the clinic," the website says.
"There is a need in medicine to try and replace general statements such as 'high risk' and 'good chance' with well validated estimates of probability," said Gordon Smith, head of Cambridge University's obstetrics and gynaecology department.
British researchers have devised a formula which they say gives a highly accurate prediction of the potential success of IVF, to help couples decide whether to try the treatment.
They have made it available online as a simple computer calculator application, and say it will soon be available for download on Apple's iPhones and other mobiles.
Scientists from the Universities of Glasgow and Bristol analyzed the details of more than 144,000 IVF cycles to produce a statistical model that can give a prediction of live birth which is up to 99 percent accurate.
"Treatment-specific factors can be used to provide infertile couples with a very accurate assessment of their chance of a successful outcome -following IVF," said Scott Nelson from the University of Glasgow, who led the research.
Nelson said that until now, estimates of success have not been very reliable.
The formula takes into account the woman's age, number of years trying to get pregnant, whether she is using her own eggs, the cause of infertility, the number of previous IVF cycles and whether she has previously been pregnant or had a baby. "The result of this study is a tool which can be used to make incredibly accurate predictions," Nelson said in a statement.
The calculator is available free at www.ivfpredict.com. Applications for smartphones are coming soon, so users "can discuss the results with clinicians in the clinic," the website says.
"There is a need in medicine to try and replace general statements such as 'high risk' and 'good chance' with well validated estimates of probability," said Gordon Smith, head of Cambridge University's obstetrics and gynaecology department.
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