这篇文章探讨了人工智能 (AI) 如何革新癌症研究和临床应用，尤其是在多组学数据分析方面的潜力。文章概述了AI在早期癌症检测、生物标志物发现、患者分层、药物研发以及计算病理学中的应用。尽管AI带来了诸多进步，但它在临床整合方面仍面临挑战，包括可重复性、AI模型的可解释性以及需要轻量级、可移植的解决方案。文章强调了标准化、跨学科合作以及严格验证对于推动AI在精准肿瘤学中广泛应用的重要性。References: Yates J, Van Allen E M. New horizons at the interface of artificial intelligence and translational cancer research[J]. Cancer Cell, 2025, 43(4): 708-727.
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