Landys Lopez Quezada, Felix Mba Medie, Rebeccah J. Luu, Robert B. Gaibler, Elizabeth P. Gabriel, Logan D. Rubio, Thomas J. Mulhern, Elizabeth E. Marr, Jeffrey T. Borenstein, Christine R. Fisher, Ashley L. Gard
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引用次数: 0
摘要
SARS-CoV-2 药物疗效快速确定治疗新发传染病的有效疗法需要能在高封闭性实验室环境中进行大规模操作的预测性临床前药物筛选工具。在文章编号 2300511 中，Ashley L. Gard、Christine R. Fisher 和 Draper 的合作者使用高通量人体气道微生理系统 PREDICT96-ALI 评估了几种 SARS-CoV-2 干预措施的疗效，并区分了无效的先导化合物和临床有效的抗病毒药物。
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-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.
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