About: http://data.cimple.eu/news-article/7488e0ea5c9f2531d7376f520b659505d0dba8ea054a10843c6924c1     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : schema:NewsArticle, within Data Space : data.cimple.eu associated with source document(s)

AttributesValues
rdf:type
schema:articleBody
  • NEC Corporation (NEC; TOKYO: 6701) today announced analysis results from efforts using AI prediction platforms to design blueprints for SARS-CoV-2 vaccines that can drive potent T-cell responses in the majority of the global population. This initiative by the scientific teams within the NEC Group to help combat outbreaks of COVID-19 and support international vaccine development efforts is led by NEC OncoImmunity (NOI) in collaboration with NEC Laboratories Europe (NLE). These AI prediction platforms are based on the AI technology used by NEC and NOI in the development of personalized neoantigen cancer vaccines. During the analysis, which is published at bioRxiv, the team analyzed thousands of sequences from the SARS-CoV-2 virus (responsible for causing COVID-19) and identified epitopes (potential vaccine targets) for the 100 most frequent HLA alleles (diverse immunological makeup) in the global population. The analysis demonstrates the significant capabilities of the NEC Group to leverage their AI platforms to design blueprints for a vaccine that is safe and efficacious in a global population and could address the current and future divergent strains of the SARS-CoV-2 virus. NEC is now publishing this research to support scientific advancements in the field and is ready to start partnering efforts to pursue the development of an effective vaccine targeting the global population. "As a company that seeks to enhance the well-being of society, NEC will continue to capitalize on research and development that maximizes the strengths of our AI technology to help prevent the spread of COVID-19. In collaboration with companies and institutions around the world, we aim to enable people to live their daily lives with as much safety and security as possible," said Motoo Nishihara, Executive Vice President and Chief Technology Officer at NEC. "It has been exhilarating work to adapt our NEC Immune Profiler technology from its current cancer focus and quickly make it applicable to infectious diseases to help deal with the COVID-19 threat. It is encouraging that our AI and bioinformatics platform can design vaccine blueprints that have the potential to induce a broad immune response, that may not only be protective for the global population, but also stimulate a long-lived memory immune responses against SARS-CoV-2 and its future mutated versions," said Dr. Trevor Clancy, Chief Scientific Officer at NEC OncoImmunity and the lead corresponding author in the paper. "We have been repurposing our algorithms originally designed for predicting immune responses in individual cancer patients to scale to large population targets for infectious diseases. Now demonstrating that our predictions can contribute to the worldwide efforts to stop COVID-19 is of utmost importance. This is an important step towards the development of an effective vaccine to stop COVID-19 for the global population," said Dr. Saverio Niccolini, General Manager of the Data Science and System Platform Division at NEC Laboratories Europe GmbH. View source version on businesswire.com: Contact Joseph Jasper, j-jasper(at)nec.com © 2020 Business Wire, Inc. Disclaimer: This material is not an AFP editorial material, and AFP shall not bear responsibility for the accuracy of its content. In case you have any questions about the content, kindly refer to the contact person/entity mentioned in the text of the release.
schema:headline
  • Press Release from Business Wire: NEC Corporation
schema:mentions
schema:author
schema:datePublished
http://data.cimple...sPoliticalLeaning
http://data.cimple...logy#hasSentiment
http://data.cimple...readability_score
http://data.cimple...tology#hasEmotion
Faceted Search & Find service v1.16.115 as of Oct 09 2023


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3238 as of Jul 16 2024, on Linux (x86_64-pc-linux-musl), Single-Server Edition (126 GB total memory, 3 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software