NEC had 29 patents in big data during Q2 2024. NEC Corp filed patents in Q2 2024 for methods and systems related to predicting phenotypic features based on microbiome data, providing event-specific intervention recommendations, updating software in redundant network configurations, operating machine learning systems, and processing time-series data with operation state information. These inventions aim to support the development of optimized immunotherapies, decision-making processes, software updates in redundant networks, learning correlations in data sets, and extracting corrected feature amount data from time-series data. GlobalData’s report on NEC gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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NEC had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Method and system for predicting a phenotypic feature of a host based on a microbiome of the host (Patent ID: US20240212789A1)
The patent filed by NEC Corp. describes a method for predicting a phenotypic feature of a host based on the host's microbiome using a data processing system. The method involves collecting microbiome-specific data and host-specific data, combining them to create a joint representation, and predicting the phenotypic feature using machine learning models or algorithms. This method can be utilized to aid in the development of optimized immunotherapies, particularly for personalized cancer vaccines.
The claims associated with the patent outline the specific steps and components involved in the method, such as encoding data modalities, training machine learning models, and conducting an inference phase for new hosts. The method is designed to support regression and classification tasks, with the joint representation capturing interactions between different data modalities. Additionally, the patent emphasizes the use of machine learning for predicting phenotypic features through multimodal learning and variational approximation. Overall, the method is described as being model-agnostic and phenotype-agnostic, focusing on leveraging microbiome and host-specific data to enhance predictions related to the host's phenotypic features.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
