IIT Alumni Council CsIR IGIB to Jointly Conduct COVID-19 Research Patient Data Analysis (Download PDF)

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IIT Alumni Council CsIR IGIB to Jointly Conduct COVID-19 Research Patient Data Analysis

  • The IIT Alumni Council has signed an agreement with the CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB) to jointly conduct research on COVID-19 and patient data analysis.
  • For this purpose, the IIT Alumni Council is setting up the World՚s largest molecular diagnostic lab ‘Mega Lab Mumbai’ .
  • World՚s largest imaging data of 8,500 patients from the mega polis has been handed over by the council to CSIR-IGIB.
IIT Alumni Council CsIR IGIB to Jointly Conduct COVID-19

Overview

  • The data was collected from temporary pandemic facility set up at the National Sports Club of India Dome, (NSCI Dome) .
  • The CSIR-IGIB is a constituent laboratory set up by the Council of Scientific and Industrial Research (CSIR) .
  • The CSIR-IGIB was formerly Centre for Biochemical Technology.
  • The data will soon be available in de-identified form and on an open data platform that is being developed by the council, to help CSIR-IGIB and the Indian Council of Medical research (ICMR) contain the pandemic.
  • The partnership will not only create a world-leading testing and treatment ecosystem but also establish global data leadership.
  • The Council has also announced the launch of world՚s largest virology lab testing centre with a capacity of conducting one crore tests.
  • The first phase will lead to development of a capacity of conducting 10 lakh tests.
  • The IIT Alumni council is the largest body of alumni, students, and faculty from all the 23 Indian Institutes of Technology and partnering Technical Institutes of excellence.
  • The council was formed last year to carry out projects of social importance.
  • The joint research will create an ecosystem for
    • The pandemic diagnostics
    • Therapeutics and preparedness
    • Bringing about an enabling value chain with expertise
    • Spanning digital health
    • Artificial intelligence
    • Molecular diagnostics
    • Next generation sequencing
    • Antibody harvesting
    • Production of monoclonal antibodies

- Published/Last Modified on: December 19, 2020

Science/Technology, Economy, Health

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