Self-driven women's health equity through an innovative, inclusive, AI-driven and evidence-led decentralised precision medicine platform for awareness, diagnosis, and management of menopause.

更年期是妇女生殖寿命的一个重要和不可避免的过渡。英国的平均绝经年龄为51岁，而印度和其他发展中国家和低收入经济体的平均绝经年龄为46岁。全球有7亿女性正在经历这一转变。在英国，这一数字为1400万，而在印度，超过1亿女性年龄在50岁以上。平均预期寿命和女性劳动力的增加使生育决定推迟到生育年龄。更年期造成的心理和精神健康后果导致与健康有关的生活质量下降和生产劳动力的经济损失。根据英国政府2017年发布的更年期对经济的影响，英国47%的劳动力--即，所有女性工作者在工作期间都会经历更年期过渡。更年期经历是异质性的，需要个性化和背景知识，以建立科学和循证意识，诊断和管理。关于卵巢功能不全，手术和药物引起的情况知之甚少，这些情况对女性生殖系统的功能具有与自然绝经相同的影响，自然绝经是与年龄相关的自然发育阶段。需要调查心理，生理以及社会经济因素，包括生活方式选择，长期健康状况和用药史，以做出准确的诊断和管理决策。缺乏临床专业知识，基础医学培训和多年专业临床实践的差距，以准确的诊断和建议，使这成为一个不可逾越的公共卫生挑战。激素替代疗法是最受欢迎的治疗方法，但对长期后果知之甚少，最终可能增加医疗费用负担。此外，并不是每个女性都可以或更喜欢服用激素替代品。有限的科学证据存在于可能在某种程度上经历更年期过渡的跨男性和非二元个体的激素谱改变后果上。通过这个项目，我们将先进的计算科学（AI），临床卓越和学术研究结合起来，为意识，诊断，通过个性化的医疗保健平台基础设施来管理更年期，从而在患者和临床医生之间建立持续的反馈循环。这可以部署在一系列环境中，如全科医学，社区卫生中心，更年期诊所，远程医疗诊所，从而分散医疗保健，并提供一个可持续的商业和医疗保健模式，为妇女健康提供自我驱动的健康公平，从而在消除健康不平等方面取得了长足的进步。

Menopause is a significant and inevitable transition of a woman's reproductive life span. The average age of menopause in the UK is 51 in contrast to 46 in India and other countries with developing and low-income economies. There are 700 million women globally undergoing this transition. In the UK the number is 14 million while in India more than 100 million women are above the age of 50\. The increase in average life expectancy and female workforce has shifted reproductive decisions to later childbearing years. The psychological and mental health consequences from menopause leads to a deterioration of health-related quality of life and economic loss of the productive workforce. Per the economic impact of menopause published by the UK government in 2017, 47% of the UK workforce -- i.e., all female workers - will experience menopause transition during their working lives.Menopause experience is heterogenous requiring individualised and contextual knowledge for creating scientific and evidence-led awareness, diagnosis, and management. Little is known about Premature Ovarian Insufficiency, surgical, and medically induced situations that have the same effect on the functioning of a woman's reproductive system as natural menopause which is an age-related natural developmental stage. Psychological, physiological, as well as socio-economic factors including lifestyle choices, long-term health conditions and medication history need to be investigated to make accurate decisions for diagnosis and management. The lack of clinical expertise, gaps in fundamental medical training and years of specialised clinical practice for accurate diagnosis and recommendation makes this an insurmountable public health challenge.Hormonal replacement is being offered as the most popular therapy with little knowledge on long-term consequences that may ultimately increase the healthcare cost burdens. Moreover, not every woman can take or prefers to take hormone replacement. Limited scientific evidence exists on the hormone profile alteration consequences in transmasculine and non-binary individuals who may undergo menopause transition in some measure.Through this project we are uniting advanced computational science (AI), clinical excellence, and academic research to create prediction models for awareness, diagnosis, and management of menopause through a personalised healthcare platform infrastructure that allows for a continuous feedback loop between patients and clinicians. This can be deployed in a range of settings such as General Practice, Community health hubs, Menopause clinics, Telehealth clinics thereby decentralising healthcare and offering a sustainable business and healthcare model for self-driven health equity for women's health making a step-change in closing health inequalities.