Predicting Clinical Outcomes of SARS‐CoV‐2 Drug Efficacy with a High‐Throughput Human Airway Microphysiological System (Adv. Biology 11/2024)

SARS‐CoV‐2 Drug Efficacy Rapid identification of effective therapeutics for emerging infectious diseases requires predictive preclinical drug screening tools that are operable at scale in high‐containment laboratory environments. In article number 2300511 Ashley L. Gard, Christine R. Fisher, and co‐...

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Veröffentlicht in:Advanced biology 2024-11, Vol.8 (11), p.n/a
Hauptverfasser: Lopez Quezada, Landys, Mba Medie, Felix, Luu, Rebeccah J., Gaibler, Robert B., Gabriel, Elizabeth P., Rubio, Logan D., Mulhern, Thomas J., Marr, Elizabeth E., Borenstein, Jeffrey T., Fisher, Christine R., Gard, Ashley L.
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Sprache:eng
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Zusammenfassung:SARS‐CoV‐2 Drug Efficacy Rapid identification of effective therapeutics for emerging infectious diseases requires predictive preclinical drug screening tools that are operable at scale in high‐containment laboratory environments. In article number 2300511 Ashley L. Gard, Christine R. Fisher, and co‐workers at Draper used a high‐throughput human airway microphysiological system, PREDICT96‐ALI, to evaluate the efficacy of several SARS‐CoV‐2 interventions and distinguish ineffective lead compounds from clinically efficacious antivirals.
ISSN:2701-0198
2701-0198
DOI:10.1002/adbi.202470111