Research and development (R & D) of new drugs is a core engine driving medical progress and plays a crucial role in shaping human health and well-being. Challenges to the conventional drug discovery and development (DDD) pipeline include high cost, long duration, and unsatisfactorily high drug attrition rates. Recently, artificial intelligence (AI) and organoids/organs-on-chips (OoCs) have emerged as revolutionary toolboxes for potentially transforming therapeutic development. By analyzing large-scale datasets and complicated biological networks, AI promises to significantly impact modern drug innovation. Organoids/OoCs are emerging in vitro biological models that mimic the essential characteristics of human organs and tissues, offering potentially unparalleled physiological relevance and predictive power for in vitro disease modeling and pharmaceutical development. Over the past few years, several AI- or/and organoids/OoCs-discovered drugs have entered clinical trials, signaling the dawn of a new era of DDD. Notably, utilizing AI and organoids/OoCs simultaneously combines the best of both worlds and represents an innovative strategy to potentially expedite DDD. In this Perspective, we briefly introduce the general concepts of AI and organoids/OoCs, explore their state-of-the-art applications in DDD, and discuss why and how their synergistic impacts can revolutionize the R & D of new drugs. We also address current limitations and propose potential solutions to propel this innovative approach forward.
Wong C.H., Siah K.W. and Lo A.W. (2019). Estimation of clinical trial success rates and related parameters. Biostatistics20:273−286. DOI:10.1093/biostatistics/kxy072
Low L.A., Mummery C., Berridge B.R., et al. (2021). Organs-on-chips: Into the next decade. Nat. Rev. Drug Discovery20:345−361. DOI:10.1038/s41573-020-0079-3
Mak K.-K. and Pichika M.R. (2019). Artificial intelligence in drug development: present status and future prospects. Drug Discov. Today24:773−780. DOI:10.1016/j.drudis.2018.11.014
EXS-21546: A quick look at its R&D progress and clinical results from the 2023 AACR. (2023). https://synapse.patsnap.com/blog/exs-21546-a-quick-look-at-its-randd-progress-and-clinical-results-from-the-2023-aacr
Ren F., Aliper A., Chen J., et al. (2024). A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models. Nat. Biotechnol. Online ahead of print :1-13. DOI:10.1038/s41587-024-02143-0.
Insilico Medicine completes patient enrollment in its Phase IIa Study in China investigating INS018_055 for Idiopathic Pulmonary Fibrosis (IPF). (2024). https://www.eurekalert.org/news-releases/1048870
Zhou L., Chen S., Liu J., et al. (2025). When artificial intelligence (AI) meets organoids and organs-on-chips (OoCs): Game-changer for drug discovery and development? The Innovation Life 3:100115. https://doi.org/10.59717/j.xinn-life.2024.100115
Zhou L., Chen S., Liu J., et al. (2025). When artificial intelligence (AI) meets organoids and organs-on-chips (OoCs): Game-changer for drug discovery and development? The Innovation Life3:100115. https://doi.org/10.59717/j.xinn-life.2024.100115
Welcome!
To request copyright permission to republish or share portions of our works, please visit Copyright Clearance Center's (CCC) Marketplace website at marketplace.copyright.com.
Share the QR code with wechat scanning code to friends and circle of friends.
Article Metrics
Article views(22248)PDF downloads(6257)
Relative Articles
Cited by
Catalog
Export File
Citation
Zhou L., Chen S., Liu J., et al. (2025). When artificial intelligence (AI) meets organoids and organs-on-chips (OoCs): Game-changer for drug discovery and development? The Innovation Life 3:100115. https://doi.org/10.59717/j.xinn-life.2024.100115
Zhou L., Chen S., Liu J., et al. (2025). When artificial intelligence (AI) meets organoids and organs-on-chips (OoCs): Game-changer for drug discovery and development? The Innovation Life3:100115. https://doi.org/10.59717/j.xinn-life.2024.100115