NEC Corporation (NEC) has announced the development and successful demonstration of new technologies designed to support the production and administration of personalized cancer vaccines.
Among the breakthroughs is a facial recognition system that does not store facial data, protecting patient privacy while maintaining full traceability throughout the vaccine workflow. Instead, facial image features are converted into key data used for verification. This ensures secure and traceable vaccine administration while minimizing privacy risks tied to biometric data storage.
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NEC also introduced a new technology that manages sensitive information effectively using minimal validation data, an innovation that aligns with real-world applications of personalized cancer vaccine therapies.
Unlike conventional vaccines, personalized cancer vaccines are created by analyzing genomic information from a patient’s tissue and blood samples, making precision and safety critical. As patient numbers grow, the complexity of vaccine workflows increases. Addressing this challenge, NEC has also developed a new tampering detection method that dramatically reduces the amount of validation data required. By grouping genomic data and assigning validation tags per group, the system cuts tag data volume by 90% compared to conventional approaches, without compromising detection accuracy. This innovation significantly lowers storage costs while maintaining robust data integrity.
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Beyond AI-driven advancements in vaccine personalization, NEC has also developed technologies to streamline vaccine production management. The company has been actively promoting information and communication technology (ICT)-based solutions for cancer vaccine development, as evident in a dedicated white paper.
The newly developed technologies have been successfully tested in-house as part of NEC’s ongoing proof-of-concept (PoC) efforts. In a simulated personalized vaccine workflow, the biometric system successfully flagged patient or sample mix-ups before vaccine administration, while the tampering detection technology accurately identified compromised genomic data.
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