Search Results - "Ravi, Neeraja"

Diagnostics for SARS-CoV-2 detection: A comprehensive review of the FDA-EUA COVID-19 testing landscape by Ravi, Neeraja, Cortade, Dana L., Ng, Elaine, Wang, Shan X.

“…The rapidly spreading outbreak of COVID-19 disease is caused by the SARS-CoV-2 virus, first reported in December 2019 in Wuhan, China. As of June 17, 2020,…”
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Quantification of cDNA on GMR biosensor array towards point-of-care gene expression analysis by Ravi, Neeraja, Rizzi, Giovanni, Chang, Sarah E., Cheung, Peggie, Utz, Paul J., Wang, Shan X.

“…Gene expression analysis at the point-of-care is important for rapid disease diagnosis, but traditional techniques are limited by multiplexing capabilities,…”
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Traction forces mediated by integrin signaling are necessary for definitive endoderm specification by Taylor-Weiner, Hermes, Ravi, Neeraja, Engler, Adam J

“…Pluripotent embryonic stem cells (ESCs) exert low-traction forces on their niche in vitro whereas specification to definitive endoderm in vivo coincides with…”
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Developing a Giant Magnetoresistive (GMR)-Based Assay for Quantification of the Human Immune Response to Influenza Infection and Vaccination by Ravi, Neeraja

“…Seasonal and pandemic strains of influenza viruses remain among the most common and deadly respiratory viral pathogens. The gold standard for influenza testing…”
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A GMR-based assay for quantification of the human response to influenza by Ravi, Neeraja, Chang, Sarah E., Franco, Luis M., Nagamani, Sandesh C.S., Khatri, Purvesh, Utz, Paul J., Wang, Shan X.

“…Detecting and quantifying the host transcriptional response to influenza virus infection can serve as a real-time diagnostic tool for clinical management. We…”
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Traction forces mediated by integrin signaling are necessary for definitive endoderm specification by Taylor-Weiner, Hermes, Ravi, Neeraja, Engler, Adam J.

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Abstract 5472: Utilizing response in immune checkpoint inhibitor treated cohorts improves clinical applicability of neoantigen immunogenicity predictions by Anbunathan, Hima, Ravi, Neeraja, Pyke, Rachel Marty, Dea, Steven, Chen, Richard O., Boyle, Sean Michael

“…Abstract Introduction: Neoantigen-based biomarkers have improved predictions of response to immune checkpoint blockade (ICB) therapy, highlighting the…”
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51 A combination of antigen presentation and T-cell recognition features improves neoantigen immunogenicity predictions by Ravi, Neeraja, Anbunathan, Hima, Rachel Marty Pyke, Dea, Steven, Tandon, Prateek, Chen, Richard O, Boyle, Sean Michael

“…BackgroundThe assessment of tumor neoantigen burden has been shown to outperform tumor mutational burden in predicting patient response to checkpoint inhibitor…”
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Abstract 5640: Mono-allelic immunopeptidomics data from 109 MHC-I alleles reveals variability in binding preferences and improves neoantigen prediction algorithm by Pyke, Rachel Marty, Dea, Steven, Anbunathan, Hima, Abbott, Charles W., Ravi, Neeraja, Harris, Jason, Bartha, Gabor, Desai, Sejal, McClory, Rena, West, John, Snyder, Michael P., Chen, Richard O., Boyle, Sean Michael

“…Abstract Neoantigen-based biomarkers are a promising approach for stratifying patient response to immunotherapy; however, current neoantigen prediction methods…”
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