A Survey of AI Utilisation in High-Throughput Screening Systems Using Stem Cell Models

Lu Cao; Verena Schwach; Fons Verbeek

doi:10.1007/978-3-031-65522-7_51

A Survey of AI Utilisation in High-Throughput Screening Systems Using Stem Cell Models

Lu Cao^*, Verena Schwach, Fons Verbeek

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Human pluripotent stem cells (hPSCs) have been increasingly used for disease modelling and drug screening. Recently, hPSCs also give rise to develop functional 3D human organoids which prove to possess closer function and physiology in vitro. However, stem cell technologies are complex, low-throughput and not highly reproducible. In addition, it remains a hassle to perform robust imaging and derive multiparameter phenotype analysis in a high-throughput manner. In this survey paper, we are going to review the latest development of high-throughput system applied in stem cell technology and the progress of AI techniques used in this field. We concluded that, in spite of numerous challenges encountered in large-scale high-throughput screening (HTS) and AI technology integration, utilizing stem cell technologies in HTS brings great potential for drug discovery, pre-clinical drug evaluation, personalized medicine and regenerative medicine.

Original language	English
Title of host publication	Proceedings of the 3rd International Conference on Innovations in Computing Research (ICR’24)
Editors	Kevin Daimi, Abeer Al Sadoon
Publisher	Springer
Pages	595-604
Number of pages	10
ISBN (Print)	9783031655210
DOIs	https://doi.org/10.1007/978-3-031-65522-7_51
Publication status	Published - Aug 2024
Event	3rd International Conference on Innovations in Computing Research, ICR 2024 - Athens, Greece Duration: 12 Aug 2024 → 14 Aug 2024 Conference number: 3

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1058 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	3rd International Conference on Innovations in Computing Research, ICR 2024
Abbreviated title	ICR 2024
Country/Territory	Greece
City	Athens
Period	12/08/24 → 14/08/24

Keywords

2025 OA procedure
drug discovery
high-throughput screening
stem cell
toxicity screening
artificial intelligence

Access to Document

10.1007/978-3-031-65522-7_51

978-3-031-65522-7_51Final published version, 235 KBLicence: Taverne

Cite this

Cao, L., Schwach, V., & Verbeek, F. (2024). A Survey of AI Utilisation in High-Throughput Screening Systems Using Stem Cell Models. In K. Daimi, & A. Al Sadoon (Eds.), Proceedings of the 3rd International Conference on Innovations in Computing Research (ICR’24) (pp. 595-604). (Lecture Notes in Networks and Systems; Vol. 1058 LNNS). Springer. https://doi.org/10.1007/978-3-031-65522-7_51

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abstract = "Human pluripotent stem cells (hPSCs) have been increasingly used for disease modelling and drug screening. Recently, hPSCs also give rise to develop functional 3D human organoids which prove to possess closer function and physiology in vitro. However, stem cell technologies are complex, low-throughput and not highly reproducible. In addition, it remains a hassle to perform robust imaging and derive multiparameter phenotype analysis in a high-throughput manner. In this survey paper, we are going to review the latest development of high-throughput system applied in stem cell technology and the progress of AI techniques used in this field. We concluded that, in spite of numerous challenges encountered in large-scale high-throughput screening (HTS) and AI technology integration, utilizing stem cell technologies in HTS brings great potential for drug discovery, pre-clinical drug evaluation, personalized medicine and regenerative medicine.",

keywords = "2025 OA procedure, drug discovery, high-throughput screening, stem cell, toxicity screening, artificial intelligence",

author = "Lu Cao and Verena Schwach and Fons Verbeek",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 3rd International Conference on Innovations in Computing Research, ICR 2024, ICR 2024 ; Conference date: 12-08-2024 Through 14-08-2024",

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Cao, L, Schwach, V & Verbeek, F 2024, A Survey of AI Utilisation in High-Throughput Screening Systems Using Stem Cell Models. in K Daimi & A Al Sadoon (eds), Proceedings of the 3rd International Conference on Innovations in Computing Research (ICR’24). Lecture Notes in Networks and Systems, vol. 1058 LNNS, Springer, pp. 595-604, 3rd International Conference on Innovations in Computing Research, ICR 2024, Athens, Greece, 12/08/24. https://doi.org/10.1007/978-3-031-65522-7_51

A Survey of AI Utilisation in High-Throughput Screening Systems Using Stem Cell Models. / Cao, Lu; Schwach, Verena; Verbeek, Fons.
Proceedings of the 3rd International Conference on Innovations in Computing Research (ICR’24). ed. / Kevin Daimi; Abeer Al Sadoon. Springer, 2024. p. 595-604 (Lecture Notes in Networks and Systems; Vol. 1058 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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