Automated Plate Analysis and Hit Confirmation Intelligence: Machine Learning Architectures for High-Throughput Screening Workflow Optimisation

Authors

  • Sunita Singh Associate Professor of Computer Science, Indian Institute of Technology Delhi

Keywords:

automated plate analysis, hit confirmation intelligence, machine learning architectures, high-throughput screening workflow optimisation

Abstract

High-throughput screening (HTS) is a drug discovery process typically conducted at both the academic and industrial levels. It is employed during early discovery stages of drug development to validate bioactivity leading to the development of a clinical candidate as part of a disease treatment. Globalized drug discovery requiring the screening of vast chemical libraries demands such cost- and time-saving methods as HTS.

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Published

31-12-2021

How to Cite

[1]
“Automated Plate Analysis and Hit Confirmation Intelligence: Machine Learning Architectures for High-Throughput Screening Workflow Optimisation”, Blockchain Tech. & Distributed Sys., vol. 1, no. 2, pp. 44–55, Dec. 2021, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/btds/article/view/837