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https://dspace.iiti.ac.in/handle/123456789/16224
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jha, Hem Chandra | - |
dc.date.accessioned | 2025-06-13T12:45:50Z | - |
dc.date.available | 2025-06-13T12:45:50Z | - |
dc.date.issued | 2025-06-11 | - |
dc.identifier.uri | https://dspace.iiti.ac.in:8080/jspui/handle/123456789/16224 | - |
dc.language.iso | en | en_US |
dc.publisher | Research & Development Office, Indian Institute of Technology Indore | en_US |
dc.subject | COVID-19 variants | en_US |
dc.subject | SARS-CoV-2 | en_US |
dc.subject | Delta variant | en_US |
dc.subject | Alpha variant | en_US |
dc.subject | Beta variant | en_US |
dc.subject | Gamma variant | en_US |
dc.subject | Long COVID | en_US |
dc.subject | disease severity | en_US |
dc.subject | metabolomic changes | en_US |
dc.subject | lipidomic changes | en_US |
dc.subject | biochemical markers | en_US |
dc.title | IIT Indore Scientists Decode How COVID-19 Variants Trigger Long-Term Health Issues | en_US |
dc.type | Other | en_US |
Appears in Collections: | Research Highlights |
Files in This Item:
File | Size | Format | |
---|---|---|---|
Article-27.pdf | 117.64 kB | Adobe PDF | View/Open |
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