圣湘生物测序产线总监许伟发布了FASTASeq 300高通量基因测序仪，作为国产桌面级测序平台代表， 凭借"多（5种芯片规格，无缝切换应用场景）、快（病原宏基因组测序仅需4小时）、省（仪器采购成 本远低于进口品牌）"三大优势，打破基因测序技术"大医院专属"壁垒，让县域医疗机构也能开展精准 基因检测。 本报讯 （何文英）9月12日，2025圣湘呼吸道生态技术与产品发布会在长沙举办。本次发布会以"AI无 界・智领未来""产品矩阵・全场景覆盖""共生互融・生态协同"三大主题为核心，不仅展示了圣湘生物 科技股份有限公司（以下简称"圣湘生物"）在医疗数智化领域的突破性成果，更以颠覆性技术与全链条 生态布局为全球医疗健康产业注入新动能。 圣湘生物董事长戴立忠博士提出"生命数字化=量化生命+精准健康"的理念，重新定义医疗数智化的底 层逻辑。他强调，生命数字化不是简单收集数据，而是借助AI技术，以高质量工具、平台和方案为支 撑，以全生命周期、全人群、全场景、全天候覆盖为目标，将生命体征、病原检测等健康要素"量化呈 现"，推动医疗服务从"经验驱动"真正走向"数据驱动"，最终实现"知识平权"与"医疗平权"，不断满足人 类对生命长 ...

9月12日，2025圣湘生物(688289.SH)呼吸道生态技术与产品发布会在长沙举办。围绕不同医疗场景需求，圣湘生物集中发布多款产品，旨在构建覆盖"医院 —基层—家庭"的全场景检测体系。圣湘生物董事长戴立忠表示，生命数字化不是简单收集数据，而是借助AI技术实现"医疗平权"。 据了解，所谓AI进化酶可以显著提升其抗干扰能力，在复杂样本中仍保持100%检测有效性，目前该技术已获超200万例临床数据验证。圣湘生物计划，未来 将拓展至血液等样本直扩领域，助力中国领跑全球PCR技术。 appensio Caroline the s the st North Read Shing 2017-02-2 per the states and and seems care - t th t a all Chines San ackages and posts first 在会上，圣湘生物发布了全球首款基于人工智能技术的分子POCT产品——SUREXEVO系列。该产品搭载16个独立模块，支持多项目并行检测，八色荧光技 术实现一管检测7种病原体，AI进化酶助力13分40秒完成扩增，对比过往动辄4个小时的检测时间，SUREXEVO ...

伦德伯格展望，在不远的将来，医生或许能在患者的"数字孪生"上预演治疗方案，更快速、更经济、更 安全的个性化诊疗将成为现实。 细胞是孕育生命的微小单元。细胞内部及其与外部之间物质、能量和信号的传递与交换，构建出人类生 长、发育、衰老与疾病的生命图谱。解读细胞的奥秘，便是破译生命的密码。随着人工智能（AI）技 术的突飞猛进，一种全新的研究范式——AI虚拟细胞（AIVC）逐渐崭露头角。 AIVC就是利用AI模拟细胞行为，探索生命机制的过程。据英国《自然》网站报道，全球科研团队正掀 起一场AIVC研发浪潮，谷歌旗下"深度思维"等机构纷纷投身其中。这项技术有望重塑多个生物与医学 领域，从基因调控到药物开发，为探索生命机制、修复损伤、治疗疾病打开新的窗口。《细胞》杂志则 报道称，AIVC有可能彻底改变科学过程，助力科学家在生物医学研究、个性化医学、药物发现、细胞 工程和可编程生物学等方面取得重大突破。 最值得期待的科技突破之一 令人振奋的是，AIVC能让研究人员在计算机虚拟环境中替代传统的活体实验。斯坦福大学教授斯蒂芬· 奎克教授认为，未来的生物学研究可能90%依靠计算模拟，而非依赖实验室操作。虽然模拟精度仍取决 于数据 ...

Group 1 - The emergence of AI technology has created numerous opportunities, particularly in the field of life sciences, which has a long history of application [1] - AI is widely regarded as a tool for enhancing efficiency, especially in promoting human health and longevity [1] - The average life expectancy in Japan is 87 years for women and 81 years for men, while China's average life expectancy is approximately 74 years [2] Group 2 - The challenges to human life extension have shifted towards chronic diseases such as cardiovascular diseases, cancer, and neurodegenerative diseases [3] - There is a significant gap between average life expectancy and healthy life expectancy, with men experiencing an 8.8-year gap and women a 12-year gap [3] - The concept of "preventive medicine" is emphasized in both Western and Chinese medical practices, focusing on early intervention before disease onset [3] Group 3 - The goal of Medicine 3.0 is to extend healthy life expectancy to 90 or even 100 years through early detection and intervention of chronic diseases [4] - Research indicates that genetic factors account for only 15% of longevity, while 85% is determined by lifestyle choices [4] - The core of Medicine 3.0 is continuous health data monitoring and intervention, allowing individuals to manage their health proactively [4] Group 4 - Significant advancements in aging and longevity research have been made with the application of AI technology [5] - Aging markers have evolved from nine to twelve and are expected to expand further, revealing complex mechanisms of aging [5] - The identification of aging markers includes factors such as genomic instability and telomere shortening, which are critical in understanding aging [5] Group 5 - The anti-aging market faces challenges, including the lack of rigorous clinical validation for many products and therapies [18] - The global aging trend presents both challenges and opportunities for the health management industry, particularly in China [38] - Personalized interventions are essential for effective health management, utilizing regular health assessments and biological marker testing [40] Group 6 - The future of health management is expected to see breakthroughs through early detection and personalized interventions, potentially extending human lifespan to around 100 years [43] - The integration of AI technology in health management can facilitate the understanding and management of health by transforming complex scientific terms into accessible language [44] - The trend of quantifying health or life is gaining momentum, particularly in Silicon Valley, indicating a future direction for the industry [44]