人工智能“早筛”癌症技术获重大突破：准确区分13种癌症，准确率高达98.2%
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重大科研成果。他们研发出了一种人工智能模型——EMethylNET，能够通过观察DNA甲基化模式，从非癌组织中精准识别出包括乳腺癌、肝癌、肺癌和前列腺癌等在内的13种不同类型的癌症，准确率高达98.2%。
这一创新性的研究成果为癌症的早期发现和诊断提供了新的可能性。据了解，该模型依赖于组织样本，而非血液中的DNA片段。目前该技术尚处于实验阶段，需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。
该研究成果已经发表在 Biology Methods and Protocols 学术杂志上。专家们表示，此项技术的进一步发展和完善，将有助于提高癌症患者的生存率，并为未来的癌症治疗提供更为精准的方案。人工智能在医疗领域的应用正在不断展现出巨大的潜力，人们期待这一技术能在不久的将来广泛应用于临床实践，为更多患者带来福音。
英语如下：
News Title: “AI Decodes Cancer Code: 98.2% Accuracy”
Keywords: AI Cancer Screening, Accuracy, Research Breakthrough
News Content:
A major breakthrough has been made in artificial intelligence (AI) “early screening” for cancer, with the ability to accurately distinguish 13 types of cancer at a rate of 98.2%.
Recently, a research team from Imperial College London and the University of Cambridge has achieved a significant scientific result. They developed an AI model called EMethylNET, which can accurately identify 13 different types of cancers, including breast, liver, lung, and prostate cancers, from non-cancerous tissues by observing DNA methylation patterns. The accuracy rate is up to 98.2%.
This innovative research result provides new possibilities for early cancer detection and diagnosis. It is understood that the model relies on tissue samples, not DNA fragments in the blood. Currently, the technology is still in the experimental stage and requires additional training and testing on more diverse biopsy samples before it can be further applied to clinical practice.
The research findings have been published in the Biology Methods and Protocols academic journal. Experts say the further development and improvement of this technology will help increase the survival rate of cancer patients and provide more precise treatment options for future cancer treatments. The application of artificial intelligence in the medical field is constantly demonstrating tremendous potential, and people are looking forward to the widespread use of this technology in clinical practice in the future to benefit more patients.
【来源】https://ai-bot.cn/go/?url=aHR0cHM6Ly9tcC53ZWl4aW4ucXEuY29tL3MvUkoxakRMUkdteW4xVFBMWkV2MFpjQQ%3D%3D
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