Published Paper Details:

The field of organoids has witnessed remarkable advancements, emerging as a transformative tool in biomedical research. Organoids are three-dimensional, multicellular structures derived from stem cells that replicate the architecture and functionality of real organs. This review aims to comprehensively explore the origin, development, and applications of organoids, emphasizing their potential in drug discovery, regenerative medicine, and disease modeling. A significant focus is placed on the concept of Organoid Intelligence (OI), envisioned as a form of genuine biological computing. OI integrates organ-on-chip systems with computational frameworks, offering revolutionary possibilities in biological computing and artificial intelligence. The paper delves into the application of machine learning (ML) in pharmacy, highlighting how ML algorithms enhance data analysis, predict drug efficacy, and personalize medicine in conjunction with organoid systems. Additionally, the review examines the ethical dilemmas associated with OI, particularly in the context of the Baltimore Declaration. This declaration emphasizes the need for transparency' reproducibility, and ethical considerations in scientific research. By addressing the ethical challenges, this paper seeks to ensure the responsible development and application of OI technologies. The convergence of organoids, OI, and ML promises to redefine the boundaries of computational biology and pharmaceutical sciences. This research review not only provides insights into the technological advancements but also underscores the importance of ethical and regulatory frameworks to guide the future of these innovations. Through a holistic approach, it aims to shed light on the transformative potential of organoids and their implications for science and society.