Accelerating Drug Discovery Throughput with Streaming Inference Pipelines: Real-Time Computational Analytics in Pharmaceutical R&D

Authors

  • Ekaterina Ovchinnikova Associate Professor of Applied Mathematics and Computer Science, Saint Petersburg State University

Keywords:

accelerating drug discovery throughput, streaming inference pipelines, real-time computational analytics, pharmaceutical r&d, machine learning

Abstract

The generation of high volume and diverse data in pharmaceutical research has led to the application of sophisticated analytics in order to enhance the productivity of the pharmaceutical research organization. The major focus of these applications has been limited to the development of algorithms to solve and devise new alternative solutions to provide greater productivity.

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Published

31-12-2021

How to Cite

[1]
“Accelerating Drug Discovery Throughput with Streaming Inference Pipelines: Real-Time Computational Analytics in Pharmaceutical R&D”, Adv. in Deep Learning Techniques, vol. 1, no. 2, pp. 71–80, Dec. 2021, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/adlt/article/view/755