近日，来自伦敦帝国理工学院和剑桥大学的研究团队取得了一项令人瞩目的成果。他们训练了一种人工智能模型——EMethylNET，通过观测DNA甲基化模式，能够准确区分13种不同类型的癌症，准确率高达98.2%。
据学术头条报道，该模型通过分析组织样本而非血液中的DNA片段来进行癌症识别。目前，该研究成果已经发表在Biology Methods and Protocols上。
这一突破性的研究为癌症的早期诊断和治疗提供了新的可能性。研究团队表示，该模型目前仍处于实验阶段，需要对更多样化的活检样本进行额外的训练和测试，才能进一步应用于临床。
此项研究不仅展示了人工智能在医学领域的巨大潜力，也表明了科研人员在利用最新技术对抗癌症方面所取得的显著进展。随着研究的深入和技术的不断完善，相信人工智能将在未来为癌症的早筛、诊断和治疗带来更多的突破和贡献。
这项研究对于提高癌症患者的生存率和生活质量具有重要意义，有望为未来的医疗领域带来革命性的变革。
英语如下：
News Title: “AI” Early Cancer Screening Research Breakthrough: 98.2% Accuracy in Identifying 13 Types of Cancer
Keywords: AI Cancer Early Screening, Accuracy, Model Development
News Content:
AI Cancer Early Screening Research Achieves a New Breakthrough: Accurately Distinguishes 13 Types of Cancer with a High Accuracy Rate of 98.2%
Recently, a research team from Imperial College London and the University of Cambridge has achieved a remarkable breakthrough. They have trained an artificial intelligence model, EMethylNET, which can accurately distinguish between 13 different types of cancer through observing DNA methylation patterns, with an accuracy rate of up to 98.2%.
According to Academic Headlines, the model identifies cancer by analyzing tissue samples rather than DNA fragments in the blood. The research findings have been published in Biology Methods and Protocols.
This breakthrough research provides new possibilities for early diagnosis and treatment of cancer. The research team indicates that the model is still in the experimental stage and requires additional training and testing on more diverse biopsy samples before further application in clinical settings.
This research not only demonstrates the enormous potential of artificial intelligence in the medical field but also shows the significant progress that researchers have made in using the latest technology to fight against cancer. With further research and technological advancements, artificial intelligence is expected to bring more breakthroughs and contributions to early screening, diagnosis, and treatment of cancer in the future.
This research is of great significance in improving the survival rate and quality of life for cancer patients and is expected to bring revolutionary changes to the medical field in the future.
【来源】https://mp.weixin.qq.com/s/RJ1jDLRGmyn1TPLZEv0ZcA
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