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Amir M. Behdani on Muck Rack

Amir M. Behdani

As seen in: AIChE Journal, PLOS
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Articles

Rapid total sialic acid monitoring during cell culture process using a machine learning model based soft sensor

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By Amir M. Behdani, Yuxiang Zhao, Grace Yao, Dhanuka Wasalathanthri
| AIChE Journal Verified
CONFLICT OF INTEREST STATEMENT No conflict of interest. REFERENCES 1, , . The current status of drug discovery and development as originated in United States academia: the influence of industrial and academic collaboration on drug discovery and development. Clin Transl Sci. 2018; 11(6): 597-606. doi:10.1111/cts.12577 2, , , et al. A cross-industry forum on benchmarking critical quality attribute identification and linkage to process characterization studies. Biologicals. 2020; 67: 9-20.
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Optimizing pharmacogenomic decision-making by data science

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By Outcomes Science, Jessica IChi Lai, Christina Kim, Amir M. Behdani
| PLOS
Citation: Behdani AM, Lai J, Kim C, Basalelah L, Halsey T, Donohoe KL, et al. (2024) Optimizing pharmacogenomic decision-making by data science. PLOS Digit Health 3(2): e0000451. https://doi.org/10.1371/journal.pdig.0000451 Editor: Nino Isakadze, Johns Hopkins Medicine, UNITED STATES Received: March 27, 2023; Accepted: January 17, 2024; Published: February 8, 2024 Copyright: © 2024 Behdani et al.
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