Abstract
This chapter offers a detailed exploration of prostate cancer, its global prevalence, and the challenges in current staging practices. It discusses the potential of molecular profiling to detail the genetic variants involved in prostate cancer and highlights the role of pathomics, where machine learning is applied to digital pathology for enhanced disease characterization. Significant attention is given to the intersection of pathomics with advanced imaging and artificial intelligence (AI) in improving the accuracy of prostate cancer diagnoses and informing treatment choices. AI’s application in developing predictive models and supporting therapy decisions is examined, alongside the integration of various biological data types to create a more complete understanding of the disease. This chapter also addresses the ethical considerations arising from the use of AI and digital pathology in clinical settings. It provides insight into the future directions of AI in prostate cancer research and clinical practice, emphasizing the importance of emerging technologies and methodologies in pathomics and the development of predictive biomarkers. In summary, this chapter outlines the advancements and potential in using pathomics and AI for a more precise and individualized approach to prostate cancer care, considering both the scientific progress and the ethical framework necessary for future developments.