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An innovative medical device that uses neuromodulatory technology to address menstrual health symptoms and increase the productivity of women

An innovative medical device that uses neuromodulatory technology to address menstrual health symptoms and increase the productivity of women
一种创新的医疗设备,利用神经调节技术来解决月经健康症状并提高女性的生产力
批准号:
10039602
负责人:
金额:
$43.63万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
Samphire is a UK medical device SME with a core project team of Emile Radyte (CEO/project lead), Alexander Cook (COO/commercial lead) and Ervinas Bernatavicius (product manager/technical lead).A large majority of reproductive-age women experience menstruation-related symptoms and have missed work as a result, which has led to a loss of productivity through sickness, absence and underperformance by those women who go to work while feeling unwell. The annual cost of this productivity loss in the UK has been estimated at £17.4B. Current options for dealing with menstrual symptoms are limited, with a large emphasis on pharmacological solutions. This leaves women with few options to manage their symptoms.Samphire is developing a wearable, non-invasive medical device in the form of a hairband that uses personalised neuromodulatory technology to address mood and pain-related menstrual health symptoms. The device is being built alongside women and uniquely adapted for their needs.The SamphireNeuro Device will be a personalised, effective and innovative solution for pre-menstrual depression and menstrual pain experienced by four in five women. It will improve women's productivity, in some cases by over 23 days per year, positively impacting their wellbeing, work opportunities and equality.The device, which is being built on trusted and valid science, contains three key innovations that make it the first solution of its kind for an unaddressed need.
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Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
基于循证医学本体论的临床元数据语言研究
完善城镇居民基本医疗保险的"基本医疗服务包"研究
基于计算模型的医用X线最优曝光控制技术的研究
  • 批准号:
    60472004
  • 项目类别:
    面上项目
  • 资助金额:
    26.0万元
  • 批准年份:
    2004
  • 负责人:
    牟轩沁
  • 依托单位: