本公司董事会及全体董事保证公告内容不存在任何虚假记载、误导性陈述或者重大遗漏，并对其内容的 真实性、准确性和完整性依法承担法律责任。 审议结果：通过 重要内容提示： ● 本次会议是否有被否决议案：无 （三）出席会议的普通股股东、特别表决权股东、恢复表决权的优先股股东及其持有表决权数量的情 况： ■ （四）表决方式是否符合《公司法》及公司章程的规定，股东会主持情况等。 1、表决方式：会议采取现场及网络方式投票表决，表决程序符合《公司法》和《公司章程》的规定。 2、召集及主持情况：会议由公司董事会召集，董事长蔡向挺先生主持本次会议。 （五）公司董事和董事会秘书的列席情况 公司本次股东会的召集、召开程序符合《公司法》《上市公司股东会规则》等法律、法规、规范性文件 及《公司章程》的相关规定，出席本次股东会人员、召集人的资格及本次股东会的表决程序、表决结果 合法有效。 特此公告。 广州安必平医药科技股份有限公司董事会 表决情况： ■ （二）涉及重大事项，应说明5%以下股东的表决情况 律师：郭梦玥、李程程 2、律师见证结论意见： 一、会议召开和出席情况 （一）股东会召开的时间：2026年1月14日 （二）股东会召开的地点 ...

证券日报网讯 1月14日，安必平发布公告称，公司2026年第一次临时股东会审议通过《关于补选公司非 独立董事的议案》。 （文章来源：证券日报） ...

证券代码：688393 证券简称：安必平 公告编号：2026-003 广州安必平医药科技股份有限公司 2026年第一次临时股东会决议公告 （四） 表决方式是否符合《公司法》及公司章程的规定，股东会主持情况等。 本公司董事会及全体董事保证公告内容不存在任何虚假记载、误导性陈述或 者重大遗漏，并对其内容的真实性、准确性和完整性依法承担法律责任。 重要内容提示： 本次会议是否有被否决议案：无 一、 会议召开和出席情况 （一） 股东会召开的时间：2026 年 1 月 14 日 （二） 股东会召开的地点：广州市黄埔区科信街 2 号公司会议室 （三） 出席会议的普通股股东、特别表决权股东、恢复表决权的优先股股东及 其持有表决权数量的情况： | 1、出席会议的股东和代理人人数 | 42 | | --- | --- | | 普通股股东人数 | 42 | | 2、出席会议的股东所持有的表决权数量 | 32,922,336 | | 普通股股东所持有表决权数量 | 32,922,336 | | 3、出席会议的股东所持有表决权数量占公司表决权数量的比 | 35.1856 | | 例（%） | | | 普通股股东所持有表决权数量占公司 ...

股东会法律意见书 達律師事務所 DIAL LAW FIR 中国深圳市福田区益田路 6001 号太平金融大厦 11、12 楼 邮编: 518038 11-12/F, TAIPING FINANCE TOWER, YITIAN ROAD 6001, FUTIAN DISTRICT, SHENZHEN, P.R. CHINA 电话(Tel):(0755)88265288 传真(Fax):(0755)88265537 电子邮件(E-mail): info@sundiallawfirm.com 网址(Website): www.sundiallawfirm.com 1 广东信达律师事务所 关于广州安必平医药科技股份有限公司 2026年第一次临时股东会的法律意见书 信达科会字(2026)第 002 号 致:广州安必平医药科技股份有限公司 广东信达律师事务所(以下简称"信达")接受广州安必平医药科技股份有 限公司(以下简称"公司"）的委托,指派信达律师出席公司 2026 年第一次临 时股东会(以下简称"本次股东会"),对本次股东会的合法性进行见证,并出 具《广东信达律师事务所关于广州安必平医药科技股份有限公司 2026 年 ...

Group 1: AI in Healthcare - Morgan Stanley's healthcare conference highlighted a partnership between Nvidia and Eli Lilly, investing $1 billion over five years to establish a joint research lab in the San Francisco Bay Area to accelerate AI drug development [1] - OpenAI launched ChatGPT Health, allowing users to securely connect medical records and health applications to an AI chatbot for health consultations and data interpretation [1] - Ant Group's AI health assistant "Ant Aifu" gained significant user attention by linking multiple hospitals and real doctors for health consultations and medical services [1] Group 2: Market Trends and Insights - CITIC Securities reported that by 2026, AI healthcare payment sources will become clearer and more robust, enhancing the commercial viability of AI in healthcare and accelerating the restructuring of the pharmaceutical market [2] - Aijian Securities noted rapid development in AI healthcare across policy, technology, products, and application scenarios, with future applications expected to extend from tertiary hospitals to grassroots terminals and individual users [2] - Guojin Securities emphasized that the Morgan Stanley healthcare summit serves as a global investment barometer, with several Chinese companies planning presentations that could boost expectations for innovative drug business development [2] Group 3: AI Medical Companies - Runta Medical launched a large model-based interpretation system for complex report analysis, assisting doctors in decision-making, and is developing automated pre-processing robots and logistics AGVs for sample handling [2] - Anbiping focuses on pathology diagnosis with digital pathology AI that can automatically identify cancerous areas and generate structured reports, while also developing automated slide scanning and staining robots [3] - United Imaging leverages AI in high-end medical imaging equipment, with an AI-assisted diagnostic system that can mark lesions in CT and MRI scans in real-time [3] Group 4: AI Drug Development - Hongbo Pharmaceutical has developed an AI drug design platform that supports new drug projects through CADD/AIDD technologies [4] - Chengdu XianDao is building a closed-loop R&D platform integrating a trillion-level small molecule compound library with AI and automation [4] - Hanyu Pharmaceutical collaborates with Huawei to develop a large model for peptide and oligonucleotide drug research, utilizing AI for molecular design and virtual screening [4] Group 5: CRO/CMO Services - WuXi AppTec operates as a fully integrated biopharmaceutical service platform, covering chemical drugs and cell gene therapies with global operational presence [5] - Zhaoyan New Drug focuses on preclinical CRO services, emphasizing safety evaluations and participating in clinical evaluations for stem cell and CAR-T cell therapies [5] - Tigermed provides full-process clinical trial services, with its subsidiary developing an AI model platform for new drug research and clinical trial support [6]

行业相对指数表现（相对值） 强于大市 |维持 行业基本情况 | | 收盘点位 | 8787.25 | | --- | --- | --- | | 52 | 周最高 | 9323.49 | | 52 | 周最低 | 6790.4 | 2025-01 2025-03 2025-06 2025-08 2025-10 2026-01 -4% 0% 4% 8% 12% 16% 20% 24% 28% 32% 36% 医药生物 沪深300 资料来源：聚源，中邮证券研究所 证券研究报告：医药生物|点评报告 行业投资评级 l AI 在制药、辅助诊断、医疗服务等领域步入成熟阶段 在制药领域，凭借 AI 技术平台强大的数据分析和模型预测能力， 相关公司在分子设计和药物筛选方面能够大幅提升药物的研发效率 和成功率。AI 制药公司通过和大型药企合作共同推动管线进展，涉及 计算机、物理、化学、生物、临床等交叉领域，管线推进越靠后，价 值量显著增高。在影像/手术领域：AI 通过在医疗影像分析方向深度 学习，能够快速识别病灶，实现精准诊断；AI 亦能辅助术前及术中及 时规划，并提供综合解决方案。在辅助诊断领域，主要参与者为数据 驱动型平台 ...

Group 1 - The AI application sector is showing strong performance, with rapid commercialization and increasing market interest across various subfields, particularly in AI marketing and AI healthcare [1] - Significant companies in the AI marketing space include BlueFocus, Liou Co., Tianxiaxiu, and Zhidema, among others [2] - In the AI healthcare sector, notable companies include Xinganjiang, Dian Diagnostics, Hongbo Medical, and Meinian Health [2] Group 2 - The AI transportation sector features companies like Desay SV, Zhongke Chuangda, and Siwei Tuxin [4] - In the AI office segment, key players include Kingsoft Office, Foxit Software, and Yonyou Network [4] - The AI finance sector is represented by companies such as Dongfang Caifu and Tonghuashun [4] Group 3 - The AI education field includes significant companies like New Oriental and iFLYTEK [4] - AI intelligent agents are represented by companies such as Kunlun Wanwei and Nansheng Co. [4]

Group 1: AI Pharmaceutical Sector Performance - The AI pharmaceutical sector is experiencing significant activity, with three stocks hitting the daily limit up, including Hongbo Pharmaceutical and Boji Pharmaceutical, both up by 20% [1] - Other notable performers include NuoSiGe up over 11%, JiaHeMeiKang up over 10%, and MeiNian Health hitting the limit up [1] Group 2: AI in Healthcare Developments - OpenAI launched "ChatGPT Health," a dedicated space for health-related conversations, integrating electronic medical records and various health applications [2][3] - The product promises data privacy by not using health conversation data for model training and employs encryption and isolation technologies [3] Group 3: AI Drug Development Collaboration - NVIDIA and Eli Lilly announced a partnership to create the world's first AI drug development innovation lab, aiming to shorten drug market entry times and reduce failure rates [3] - The lab has a five-year roadmap with a maximum investment of $1 billion for talent recruitment and AI-driven experimental platforms [3] Group 4: Market Growth Projections - The global AI healthcare market is projected to grow from approximately $26.65 billion in 2024 to about $505.59 billion by 2033, with a compound annual growth rate (CAGR) of 38.8% [4] - In China, policies are set to support AI healthcare applications, aiming for comprehensive coverage of intelligent assistance in primary care by 2030 [4] Group 5: A-Share Market Insights - The AI healthcare industry chain in the A-share market focuses on high-quality medical data, intelligent diagnostic systems, and collaborative innovations in smart hardware and data services [5] Group 6: AI Drug Development Services - AI drug development services are crucial in the pharmaceutical industry, providing end-to-end AI-assisted solutions from target discovery to clinical trials [6] - Companies with core AI target discovery technologies are expected to benefit significantly from the transformation in drug development models [6]

Group 1 - The AI medical concept is experiencing significant activity, with companies like Dean Diagnostics and Hongbo Pharmaceutical hitting the 20% daily limit increase [1] - Meian Health has achieved a three-day consecutive increase, indicating strong market interest [1] - Other companies such as Jiahe Meikang and Chengdu Xian Dao have seen increases of over 10%, while Anbiping, Weining Health, Yaoshi Technology, and Guoxin Health are also following the upward trend [1]

智通财经APP获悉，浙商证券发布研报称，AI医疗应用在国家战略与市场需求的共振下已迈入商业化落 地的快速阶段。该行认为AI制药核心价值在于大幅提升药物早研效率，看好国内多家AI制药平台服务 能力全球领先。AI制药的高需求将带来较大的落地验证实验及合作需求，建议关注已与AI制药平台有 战略合作的传统CRO公司。此外，早研效率大幅提升将快速传导至临床前、安评以及临床CRO需求。 浙商证券主要观点如下： 该行认为AI制药核心价值在于大幅提升药物早研效率，以英矽智能Pharma.AI为例，其能够使候选药物 从靶点发现到临床前候选药物确认时间从4.5年大幅缩短到12至18个月，早研阶段的投入产出比大幅提 升。该行看好：1)国内多家AI制药平台服务能力全球领先，海外业务拓展持续高速已验证，关注英矽智 能、晶泰科技、泓博医药、维亚生物、成都先导等;2)AI制药的高需求将带来较大的落地验证实验及合 作需求，建议关注已与AI制药平台有战略合作的传统CRO公司，关注皓元医药、美迪西、百诚医药、 阳光诺和、药石科技、药明康德等;3)早研效率大幅提升将快速传导至临床前、安评以及临床CRO需 求，建议关注昭衍新药、美迪西、益诺思、泰格 ...