I-Corps: Translation Potential of a Secure Data Platform Empowering Artificial Intelligence Assisted Digital Pathology

这个I-Corps项目的更广泛影响是开发了一个新的医疗数据管理系统。新的加密工作流程平台将增强数据可追溯性，加强安全性，简化访问，解决传统健康记录和成像存储系统的关键缺陷。该解决方案有望提高患者健康记录的机密性、可追溯性和可访问性，从而应对医疗保健领域日益严峻的数据泄露挑战。在商业上，该技术提供了适用于各种医疗保健领域的解决方案，可能重塑数字病理学市场，预计到2029年将达到20亿美元。该平台的潜力超出了病理学，在医疗保健信息管理方面还有其他机会。这个I-Corps项目利用体验式学习加上对行业生态系统的第一手调查来评估该技术的翻译潜力。该解决方案基于先前开发的数据加密工作流平台。该技术引入了由区块链上的不可替代令牌（NFT）认证的多重签名加密模式，使用密钥生成预言机，从而确保人工智能算法的安全部署。加密模式将实现安全的数据传输，保证数据的可追溯性，所有权和安全存储。通过技术结果验证的加密方法的鲁棒性为推进医疗保健信息管理和数字病理学奠定了基础。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。

The broader impact of this I-Corps project is the development of a new healthcare data management system. The new encryption workflow platform will enhance data traceability, fortify security, and simplify access, addressing critical deficiencies in traditional health record and imaging storage systems. The solution promises improved confidentiality, traceability, and accessibility of patient health records, tackling the growing challenges of data breaches in healthcare. Commercially, the technology offers a solution applicable across various healthcare segments, potentially reshaping the digital pathology market, projected to reach $2 billion by 2029. The platform's potential extends beyond pathology, with other opportunities in healthcare information management. This I-Corps project utilizes experiential learning coupled with a first-hand investigation of the industry ecosystem to assess the translation potential of the technology. The solution is based on the prior development of a data encryption workflow platform. The technology introduces a multi-signature encryption schema certified by Non-Fungible Tokens (NFTs) on the blockchain, using key-generation oracles, thus ensuring the secure deployment of artificial intelligence algorithms. The encryption schema will enable secure data transfers, guaranteeing data traceability, ownership, and secure storage. The robustness of the encryption method, validated through technical results, forms the foundation for advancing healthcare information management and digital pathology. This technology will provide a framework applicable across diverse healthcare domains.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.