October 2021 COVID Research Webinar: Lightning Talks + Q&A
Channel: Northeast Big Data Innovation Hub
Date: 26/10/2021

Meet the scientists seeking new insights on COVID-19. Every month, we bring together a group of researchers studying wide-ranging aspects of the current pandemic, to share their research and answer questions from our community. Learn more about their ongoing efforts in the fight against COVID-19, including opportunities for collaboration.

This webinar features the following speakers: 

Sunny Jiang, University of California-Irvine: Comparative quantitative microbial risk assessment of COVID-19 transmission through droplets, aerosols and contaminated surfaces. Funded by NSF Engineering / Chemical, Bioengineering, Environmental and Transport Systems (CBET).
📜 Read an English Transcription of this presentation: https://bit.ly/3K9Gpb5

Cassian Yee, MD Anderson Cancer Center: T Cell Immunity Of COVID19: Developing Biomarker And Therapeutic Strategies. Funded by NIH / National Cancer Institute.
📜 Read an English Transcription of this presentation: https://bit.ly/3HDOK5f

Liz Goldberg, Lifespan, Rhode Island Hospital: Meeting the Health Needs of Older Americans with Telehealth During COVID-19. A supplement to GAPcare II: The Geriatric Acute & Post-acute Care Coordination Program for Fall Prevention in the Emergency Department. Funded by the NIH / National Institute on Aging (NIA).
📜 Read an English Transcription of this presentation: https://bit.ly/3C6meIr

Susan Wesmiller, University of Pittsburgh: Measuring the Effect of Sars-CoV2  on a Longitudinal Study. A supplement to Genomic Underpinnings for Breast Cancer Treatments. Funded by NIH / National Institute of Nursing Research.
📜 Read an English Transcription of this presentation: https://bit.ly/3IEJgs6

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Timestamps
10:13 Susan Wesmiller, University of Pittsburgh
21:37 Sunny Jiang, University of California-Irvine
37:29 Cassian Yee, MD Anderson Cancer Center
50:10 Liz Goldberg, Lifespan, Rhode Island Hospital
1:05:41 Q&A

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💻 Learn more about the COVID Information Commons: https://covidinfocommons.datascience.columbia.edu/

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