Organoids, miniature and simplified in vitro model systems that mimic the structure and function of organs, have attracted considerable interest due to their promising applications in disease modeling, drug screening, personalized medicine, and tissue engineering.
Organoids are three-dimensional structures that mimic the architecture and functions of various organs. They are grown in vitro from stem cells or other precursor cells and have been used to study the development and behavior of different organs, as well as for drug screening and disease modeling.
Organoids are highly valued for their ability to recapitulate the complex microenvironments and functions of different organs, making them valuable tools for studying the mechanisms of disease and for testing potential treatment
Despite the substantial success in cultivating physiologically relevant organoids, challenges remain concerning the complexities of their assembly and the difficulties associated with data analysis.
The advent of AI-Enabled Organoids, which interfaces with artificial intelligence (AI), holds the potential to revolutionize the field by offering novel insights and methodologies that can expedite the development and clinical application of organoids.
read this article which delineates the fundamental concepts and mechanisms underlying AI-Enabled Organoids, summarizing the prospective applications on rapid screening of construction strategies, cost-effective extraction of multiscale image features, streamlined analysis of multi-omics data, and precise preclinical evaluation and application.