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.

这项小型企业创新研究（SBIR）I阶段项目的更广泛的影响/商业潜力将是一个包容性平台，可为个人提供有关数据驱动的，个性化的关于头发健康的见解。头发健康在整体精神/身体健康中起着很大的作用；但是，缺乏透明的数据使得对优质的产品和护理信息，尤其是在少数民族社区中的优质产品和护理信息的不利地位。这种差异使个人使用产品和/或磨损样式对头发和头皮健康产生不利影响。拟议的技术将弥合这些差距，为用户提供头发/头皮健康见解，并将其与合适的产品和头发概况和目标相匹配。同时，可以利用与该平台的数据和用户参与，以提供品牌，医疗保健提供商，保险公司等。深入了解客户的护理目标，疼痛点和健康状况。除了支持头发健康外，该项目还将减轻头皮和头发病理（例如，脱发，烧伤，断裂，接触性皮炎），来自不适合的产品和护理实践。这一小型企业创新研究（SBIR）I阶段项目I阶段项目旨在使用数据驱动的头发情报平台，以开发一个数据驱动的发型平台，以使大型数据以大量的头发启发，以使所有毛发启发性地实现。该技术和平台将利用来自同行评审的出版物和科学支持的数据库以及用户本身的大数据，在其独特的头发配置文件的背景下不断完善个性化的见解，并了解客户的需求。使用专有算法，该技术将能够无缝识别和绘制不同的头发类型，识别次要独特因素（孔隙度，密度，质地等），地图和分析产品，轨道和绘制不同的处理方案和产品使用方案和产品使用方案，以及开发情感分析，模式，模式和预测的不同含量。该项目将：1）开发培训数据集和分层算法，以高信任地分类； 2）通过与皮肤科居民的比较研究来验证和完善头发剖面分类系统； 3）建立概念验证，证明了精确的头发概况分类与数据驱动的产品/风格建议之间的联系以改善发型。该奖项反映了NSF的法定任务，并通过基金会的智力优点和更广泛的影响来诚实地认为，通过评估诚实地支持了审查标准。