Digital Transformation of Fertility Care: Precision Exercise Prescription to Optimise Fertility Outcomes Using Artificial Intelligence
Digital Transformation of Fertility Care: Precision Exercise Prescription to Optimise Fertility Outcomes Using Artificial Intelligence
批准号:
10046561
负责人:
金额:
$6.03万
依托单位:
依托单位国家:
英国
项目类别:
Grant for R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --
中文摘要
据估计,英国每8名妇女中就有1名遇到生育问题。其中,许多人寻求生育治疗,如IVF,以提高他们的受孕机会。然而,在英国,35岁以下女性的试管婴儿平均成功率为32%,35-37岁女性下降至25%,38-39岁女性下降至19%,43岁以上女性下降至5%以下。随着越来越多的女性选择在以后的生活中开始家庭,这种生育率下降的趋势变得更加明显。此外,随着超重或肥胖人口比例的上升,我们可以预期患有PCOS和肥胖相关生育问题的妇女人数也会上升。考虑到不孕症对妇女和夫妇的巨大身体和情感影响,我们必须寻求发现更有效和更广泛的提高女性生育能力的方法。我们建议开发一种创新,人工智能(AI)帮助调整生活方式因素,以提高IVF的成功率并改善生育能力。
英文摘要
It is estimated that 1 in 8 women in the UK experience fertility problems. Of these, many seek fertility treatments, such as IVF, to improve their chance of conceiving. However, the average success rate of IVF in the UK is 32% in women under 35, declining to 25% for women aged 35-37, 19% for women aged 38-39 and below 5% for women over the age of 43\.This decreasing trend in fertility with age is growing more apparent as an increasing number of women choose to start a family later in life.Furthermore, as the percentage of the population with overweight or obesity is rising, we can expect the number of women with PCOS and obesity-related fertility issues to also rise.Considering the monumental physical and emotional impact of infertility on women and couples, it is essential we that seek to discover a more effective and broader range of methods of improving female fertility.We propose to develop an innovation that uses artificial intelligence (AI) to help make adjustments to lifestyle factors to increase success of IVF and improve fertility.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金