Artificial Intelligence Applications in Sustainable Life Sciences: A Global Review of Recent Developments and Implementations (2020–2024)

In recent years, the rapid development of artificial intelligence (AI) has spurred significant advances across a range of disciplines, not least in the domain of sustainable life sciences. This research paper investigates implemented AI solutions in sustainable life sciences, ex-amining their global applicability and effectiveness over the period 2020 to 2024. Through a systematic review of recent literature and detailed case study analyses, we present quanti-tative data on AI performance indicators and sustainability metrics, underlining the benefits and challenges associated with these novel applications. In this study, interdisciplinary per-spectives—spanning computer science, environmental science, biotechnology, and ethics—are synthesized to provide a comprehensive understanding of how AI can drive sustainabil-ity in life sciences, improve operational efficiency, and support decision making in various regulated industries. Real-world implementations from developed nations are examined to present comparative analyses, and data visualizations are employed to illustrate the finan-cial, environmental, and performance metrics achieved by these AI systems. Ethical consid-erations are addressed throughout the study to ensure that the integration of AI in sustaina-ble life sciences complies with current societal and environmental norms. The paper con-cludes with actionable recommendations and a five-year projection regarding the technolo-gy adoption curve for AI solutions in sustainable life sciences.