摘要
一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-药物和治疗的新研究-个性化医疗是一篇报道的主题。根据NewsRx记者从西班牙巴塞罗那发回的消息，研究表明：“高度适应性和可重复使用的人工智能模型的快速发展促进了数字配对的实施，并有可能重新定义卡片血管风险预防。数字配对结合了来自三维来源的大量数据，构建了个人的虚拟模型。”我们的新闻记者从埃洛纳巴尔大学的研究中获得了一句话：“新兴的人工智能模型，被称为通才人工智能，能够处理不同类型的数据，包括来自电子健康记录、实验室结果、医学文本、成像、基因组学或图形学。在其未被注意到的能力中，有一种是很容易地将模型适应以前看不见的医疗任务，并有能力使用来自科学文献、医学指南和医学指南的精确医学语言来推理和解释输出结果。将数字孪生方法与通才人工智能相结合，是加速精准医学实施、提高心血管疾病认识和预防的一条途径。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Drugs and Therapies-Personalized Medicine is the subject of a report. According to news originating from Barcelona, Spain, by NewsRx correspondents, research stated, "The rapid evo lution of highly adaptable and reusable artificial intelligence models facilitat es the implementation of digital twinning and has the potential to redefine card iovascular risk prevention. Digital twinning combines vast amount of data from d iverse sources to construct virtual models of an individual." Our news journalists obtained a quote from the research from Universitat de Barc elona, "Emerging artificial intelligence models, called generalist AI, enable pr ocessing different types of data, including data from electronic health records, laboratory results, medical texts, imaging, genomics or graphs. Among their unp recedented capabilities are an easy adaptation of a model to previously unseen m edical tasks and the ability to reason and explain output using precise medical language derived from scientific literature,medical guidelines, or knowledge gr aphs. The proposed combination of a digital twinning approach with generalist AI is a path to accelerate the implementation of precision medicine and enhance ea rly recognition and prevention of cardiovascular disease."
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