SBIR Phase I: Hair Genome Project - Computational approach to classifying hair profiles and dermatological health disparities in underserved communities

SBIR 第一阶段：头发基因组项目 - 对服务不足社区的头发特征和皮肤病健康差异进行分类的计算方法

• 批准号: 2151351
• 负责人: TIFFANY ST BERNARD
• 金额: $ 25.6万
• 依托单位: HAIRDAYS, INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-15 至 2024-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2151351&HistoricalAwards=false
• 关键词: SBIR; Phase; Hair; Genome; Project

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be an inclusive platform offering individuals access to data-driven, personalized insights on hair health. Hair health plays a large factor in overall mental/physical health; however, an absence of transparent data has disproportionately disadvantaged access to quality products and care information, particularly among minority communities. This disparity has led individuals to use products and/or wear styles that adversely impact hair and scalp health. The proposed technology will bridge these gaps, providing users with hair/scalp health insights and matching them with suitable products and regimens for their hair profile and goals. At the same time, the data and user engagement with the platform can be leveraged to offer brands, healthcare providers, insurance companies, etc. with deeper insights into their customers’ hair care-related goals, pain points, and health conditions. In addition to supporting hair health, this project will mitigate the scalp and hair pathologies (e.g., alopecia, burns, breakage, contact dermatitis) stemming from ill-suited products and care practices.This Small Business Innovation Research (SBIR) Phase I project aims to develop a data-driven hair intelligence platform that uses big data to democratize hair insights for all. The technology and platform will leverage big data from peer-reviewed publications and science-backed databases as well as the users themselves, to continually refine personalized insights and understand customer needs in the context of their unique hair profile. Using proprietary algorithms, the technology will be able to seamlessly recognize and map different hair types, identify secondary unique factors (porosity, density, texture, etc.), map and analyze different ingredients in products, track and map different treatment regimens and product usage, and develop sentiment analysis, patterns, and predictions. This project will: 1) Develop training dataset and tiered algorithm for hair profile classification with high confidence; 2) Validate and refine the hair profile classification system through a comparative study with dermatology residents; and 3) Establish proof-of-concept demonstrating the connection between accurate hair profile classification and data-driven product/style recommendations to improve hair-esteem.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个小企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力将是一个包容性的平台，为个人提供数据驱动的，个性化的头发健康见解。头发健康在整体精神/身体健康中起着重要作用;然而，缺乏透明数据使人们特别是少数群体获得优质产品和护理信息的机会不成比例地受到不利影响。这种差异导致个人使用对头发和头皮健康产生不利影响的产品和/或穿着风格。拟议的技术将弥合这些差距，为用户提供头发/头皮健康的见解，并为他们的头发轮廓和目标匹配合适的产品和方案。与此同时，数据和用户与平台的互动可以被用来为品牌，医疗保健提供商，保险公司等提供更深入的洞察其客户的头发护理相关的目标，痛点和健康状况。除了支持头发健康，该项目还将减轻头皮和头发病理（例如，这一小型企业创新研究（SBIR）第一阶段项目旨在开发一个数据驱动的头发智能平台，利用大数据为所有人提供民主化的头发见解。该技术和平台将利用来自同行评审出版物和科学支持的数据库以及用户本身的大数据，不断完善个性化见解，并在其独特的头发轮廓背景下了解客户需求。使用专有算法，该技术将能够无缝识别和映射不同的头发类型，识别次要的独特因素（孔隙率，密度，纹理等），绘制和分析产品中的不同成分，跟踪和绘制不同的治疗方案和产品使用情况，并开发情感分析、模式和预测。该项目将：1）开发高置信度的毛发轮廓分类训练数据集和分层算法; 2）通过与皮肤科住院医师的比较研究来验证和完善毛发轮廓分类系统;和3）建立概念验证，证明准确的头发轮廓分类和数据驱动的产品/风格建议之间的联系，以改善头发-该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。