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Efficient prediction strategy of COVID-19 based on pandemic data and immunoinformatics, integrated on artificial intelligence (AI) platform

Implementing Organization

Birla Institute of Technology and Science Visit
Principal Investigator
Dr Debashree Bandyopadhyay
Assistant Professor, Birla Institute of Technology & Science (BITS), Pilani

Project Overview

In this study, COVID-19 detection strategy is developed based on clinical features (blood profiles, cytokines levels etc.) obtained from various hospitals across the globe (published data). This study aims to develop an artificial intelligence platform (deep neural network), where the input data set will include samples from COVID-19 positive patients (mild and severe cases), similar respiratory diseases and healthy controls.

Achievements

NA
Funding Organization
Funding Organization
Department of Science and Technology (DST)
Quick Information
Area of Research
Computer Sciences and Information Technology
Focus Area
Mathematical modelling for COVID-19
Start Date
2020
Contact
banerjee.debi@hyderabad.bits-pilani.ac.in
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
NA
Publications
00
No. of Patents
Filed : 00
Grant : 00
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