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This is a "connection" page, showing publications co-authored by Evgeny Izumchenko and Savas Tay.
Evgeny Izumchenko
Connection Strength
0.704
Savas Tay
  1. OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics. PLoS Comput Biol. 2022 11; 18(11):e1010584.
    View in: PubMed
    Score: 0.217
  2. Sensitive detection and quantification of SARS-CoV-2 in saliva. Sci Rep. 2021 06 14; 11(1):12425.
    View in: PubMed
    Score: 0.197
  3. Sensitive detection and quantification of SARS-CoV-2 in saliva. medRxiv. 2020 Dec 07.
    View in: PubMed
    Score: 0.190
  4. Severe COVID-19 infection is associated with aberrant cytokine production by infected lung epithelial cells rather than by systemic immune dysfunction. Res Sq. 2021 Nov 24.
    View in: PubMed
    Score: 0.051
  5. COVIDomic: A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity. PLoS Comput Biol. 2021 07; 17(7):e1009183.
    View in: PubMed
    Score: 0.050
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.