Lee, R. Y., Wu, Y., Goh, D., Tan, V., Ng, C. W., Lim, J. C. T., Lau, M. C., & Yeong, J. P. S. (2023). Application of Artificial Intelligence to In Vitro Tumor Modeling and Characterization of the Tumor Microenvironment. Advanced Healthcare Materials, 12(14). Portico. https://doi.org/10.1002/adhm.202202457
Abstract:
AbstractIn vitro tumor models have played vital roles in enhancing the understanding of the cellular and molecular composition of tumors, as well as their biochemical and biophysical characteristics. Advances in technology have enabled the evolution of tumor models from two‐dimensional cell cultures to three‐dimensional printed tumor models with increased levels of complexity and diverse output parameters. With the increase in complexity, the new generation of models is able to replicate the architecture and heterogeneity of the tumor microenvironment more realistically than their predecessors. In recent years, artificial intelligence (AI) has been used extensively in healthcare and research, and AI‐based tools have also been applied to the precise development of tumor models. The incorporation of AI facilitates the use of high‐throughput systems for real‐time monitoring of tumorigenesis and biophysical tumor properties, raising the possibility of using AI alongside tumor modeling for personalized medicine. Here, the integration of AI tools within tumor modeling is reviewed, including microfluidic devices and cancer‐on‐chip models.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the National Medical Research Council - Open Fund - Young Individual Research Grant (OF-YIRG)
Grant Reference no. : OFYIRG19may-0007; Project ID: MOH-000323-00
This research / project is supported by the A*STAR - HTPO Health & MedTech
Grant Reference no. : C211318003
This research / project is supported by the A*STAR - Industry Alignment Fund-Industry Collaboration Fund (IAF-ICP)
Grant Reference no. : I2201E0014
Description:
This is the peer reviewed version of the following article: Lee, R. Y., Wu, Y., Goh, D., Tan, V., Ng, C. W., Lim, J. C. T., Lau, M. C., & Yeong, J. P. S. (2023). Application of Artificial Intelligence to In Vitro Tumor Modeling and Characterization of the Tumor Microenvironment. Advanced Healthcare Materials, 12(14). Portico. https://doi.org/10.1002/adhm.202202457, which has been published in final form at doi.org/10.1002/adhm.202202457. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited."