Artificial Intelligence in Cancer Research Looking ahead, AI holds significant promise with the integration of multimodal data, the development of personalized therapeutic approaches, and the refinement of decision-support systems. Enhancing the clinical validity and usability of AI models, establishing open data-sharing platforms, and implementing comprehensive regulatory frameworks are critical to facilitating its widespread application. In summary, AI is expected to bring breakthroughs to oncology, enabling personalized, precise, and intelligent solutions across the entire process of diagnosis and treatment, ultimately delivering more effective therapies to patients.

Cancer Prevention: State-of-the-art Strategy, Approach and Practice Cancer prevention is a cornerstone of public health, offering immense potential to reduce the global burden of cancer. Over the years, significant progress has been made in understanding the underlying mechanisms of cancer development, identifying risk factors, and developing effective prevention strategies. This special issue focuses on the latest advances, challenges, and future directions in cancer prevention, addressing a wide range of topics from early detection to lifestyle interventions.

Immunotherapy: the past, the present, and the future Immunotherapies, including ICIs, cytokines treatment, tumor vaccines, oncolytic viruses, CAR-T/NK, and others, are known as the fourth pillar of cancer treatment after surgery, radiation therapy, and chemotherapy. The emergence of tumor immunotherapy has greatly revolutionized the cancer treatment.