The world's first Human Digital Twin operating system.全球首个人类数字孪生操作系统。
The Core AI Engine for Digital Public Infrastructure of Health健康数字公共基础设施的核心 AI 引擎
One living health twin per person — uniting genomic, clinical and wearable data to predict disease, prevent illness, and personalize health for life.为每个人打造一个持续更新的健康孪生 —— 整合基因组、临床与可穿戴数据,预见疾病、主动预防,并为一生提供个性化健康管理。
以人工智能赋能医疗健康 — 为每个人建立终身的数字健康孪生。
Human Digital Twin — genomic · clinical · wearable, unified.人类数字孪生 — 基因组 · 临床 · 可穿戴数据,统一整合。
Vision & mission愿景与使命
预见疾病 · 守护健康
Predict disease · Protect health.
Everyone should be able to foresee disease and safeguard their health. We turn expensive, scattered and expert-gated health data into understandable, actionable, lifelong decision support — for every person.让每一个人都能预见疾病、守护健康。我们把昂贵、零散、专业门槛极高的健康数据,转化为人人可理解、可执行、可陪伴一生的决策支持。
Build a full-life-cycle Human Digital Twin for every person, and move healthcare from after-the-fact treatment toward prediction and proactive prevention.为每个人构建覆盖全生命周期的人类数字孪生,把医疗健康从“事后治疗”推向事前预测与主动预防。
The problem问题
Health data is expensive, fragmented — and wasted.健康数据昂贵、割裂 —— 且被浪费。
People and health systems generate more data than anyone can use. Today it sits in silos, read once and forgotten.人们与医疗系统产生的数据,远超任何人所能利用。如今它们困在各自的孤岛里,看一次便被遗忘。
Costly omics, shelved昂贵的组学,束之高阁
DNA and multi-omics reports cost $100–1,000 a sample, then sit in PDFs — read once and never used again.DNA 与多组学报告每份成本约 $100–1,000,做完却沉睡在 PDF 里 —— 看一次,再不复用。
Siloed & fragmented孤岛与割裂
Check-ups, test reports, medical records and wearables live in separate systems. No one — not even a family doctor — sees a lifelong view.体检、化验报告、病历与可穿戴设备各在不同系统。没有人 —— 甚至家庭医生 —— 能看到一个人贯穿一生的完整视图。
Generic & low-trust笼统且低信任
Direct-to-consumer reports cover a narrow scope with commonsense advice. Those who care about health pay more, yet have no access to reliable, broad insight.面向消费者的报告覆盖面窄、建议笼统。真正关注健康的人付出更多,却得不到可靠、广谱的洞察。
Precision health is scaling fast精准健康正在快速扩张
Digital health is on track to grow ~3.5× by 2030 — and emerging markets need affordable infrastructure most.数字健康有望到 2030 年增长约 3.5 倍 —— 而新兴市场最需要可负担的基础设施。
The models are finally ready模型终于成熟
Generative AI, omics foundation models and polygenic scoring make explainable, broad-spectrum lifelong prediction possible for the first time.生成式 AI、组学基础模型与多基因评分,首次让可解释、广谱、终身的健康预测成为可能。
Everyone needs the layer每个角色都需要这一层
Individuals, doctors and hospitals — plus labs, insurers and DTC providers — all need one tool to unify data and fill the infrastructure gap.个人、医生与医院 —— 以及实验室、保险公司与 DTC 厂商 —— 都需要一个工具来统一数据、填补基础设施空白。
The solution解决方案
A personal AI health twin.一个个人 AI 健康孪生。
2Health AI unifies each person's genomic, clinical and wearable data into one continuously-updating digital twin — turning scattered data into clear, conversational, lifelong health guidance.2Health AI 将每个人的基因组、临床与可穿戴数据整合为一个持续更新的数字孪生 —— 把零散的数据变成清晰、可对话、可陪伴一生的健康指引。
All your data, one twin所有数据,一个孪生
Genomic, clinical, wearable and lifestyle data, unified in a single cloud twin that keeps updating for life.基因组、临床、可穿戴与生活方式数据,统一到一个持续更新、伴随终身的云端孪生中。
Broad-spectrum risk广谱风险预测
Personalized disease-risk and health-trajectory models across a wide range of conditions.覆盖多种疾病的个性化风险与健康轨迹预测模型。
Guidance that acts可执行的指引
Actionable prevention, lifestyle, products and care — tailored to each individual twin.可落地的预防、生活方式、产品与照护建议 —— 为每个数字孪生量身定制。
From scattered one-time reports → a lifelong health operating system.从零散的一次性报告 → 一个陪伴终身的健康操作系统。
Why 2Health AI为何选择 2Health AI
The core AI engine for Digital Public Infrastructure of Health.健康数字公共基础设施的核心 AI 引擎。
Across much of Asia and Africa there is no unified health identity or interoperable record — care cannot follow the patient across hospitals or borders. 2Health AI provides the missing layer: a portable, user-owned Human Digital Twin, and the AI operating system that powers it.在亚洲与非洲的大部分地区,没有统一的健康身份,也没有可互操作的健康档案 —— 医疗照护无法随患者跨院、跨境流动。2Health AI 补上缺失的这一层:一个可携带、用户自持的人类数字孪生,以及驱动它的 AI 操作系统。
Higher accuracy更高准确度
Multi-omics prediction built on polygenic risk scores lifts accuracy +30–60% over traditional models — reaching up to 0.9 AUC on key diseases (internal testing).以多基因风险评分为核心的多组学预测,较传统模型提升约 +30–60% 准确度 —— 部分关键疾病可达 0.9 AUC(公司内部测算)。
Broader coverage更广覆盖
A single upload analyses 1,000+ phenotypes across 30+ disease categories — where typical direct-to-consumer reports cover fewer than 100.单次上传即可分析 1,000+ 种表型,覆盖 30+ 疾病类别 —— 而同类面向消费者的报告通常覆盖不足 100 项。
Explainable by design生而可解释
Every genetic risk is visualised against a reference population and interpreted live by an AI assistant — not a static PDF.每一项遗传风险都对照参考人群可视化呈现,并由 AI 助手实时解读 —— 而非一份静态 PDF。
From report to operating system从报告到操作系统
Competitors stop at a one-time test. 2HAI turns that data into a lifelong, continuously-updating twin connected to real care and commerce.竞品止步于一次性检测。2HAI 把这些数据变成一个陪伴终身、持续更新,并连接真实诊疗与消费的孪生。
They stop at a one-off report — we build a lifelong, updating twin.它们止步于一次性报告 —— 我们构建持续更新的终身孪生。
Great at signals, but no omics depth or disease-risk prediction.擅长采集体征,却缺乏组学深度与疾病风险预测。
Record-centric — data doesn't travel with the person.以病历为中心 —— 数据无法随人流动。
Fluent chat, but no structured omics base to personalise on.对话流畅,却没有结构化的组学底座可供个性化。
The platform平台
One platform, three interfaces.一个平台,三端界面。
The world's first human digital twin operating system serves individuals, doctors and suppliers from a single intelligent core.全球首个人类数字孪生操作系统,以单一智能内核,同时服务个人、医生与供应商三端。
Personal
个人端
- Full-life-cycle health management
- 全生命周期健康管理
- Broad-spectrum risk prediction
- 广谱疾病风险预测
- AI health assistant in every module
- 每个模块内置 AI 健康助手
- Biological age & life-expectancy estimation
- 生物年龄与预期寿命评估
- Dynamic health credit score & wallet
- 动态健康信用分与钱包
+ AI doctor, telemedicine, marketplace & 30+ modules+ AI 医生、远程问诊、商城等 30+ 模块
Doctor
医生端
- Telemedicine & appointment management
- 远程问诊与预约管理
- AI-assisted consultation
- AI 辅助会诊
- Referrals & e-prescribing
- 转诊与电子处方
- Training, certification & professional forum
- 培训、认证与专业论坛
- Patient history & data management
- 病患历史与数据管理
A public-good clinical layer — from data to diagnosis面向公共利益的临床层 —— 从数据到诊断
Supplier
供应商端
- Verified merchant & clinic onboarding
- 认证商户与诊所入驻
- AI demand matching to real twin data
- 基于真实孪生数据的 AI 需求匹配
- Unified cart, checkout & wallet
- 统一购物车、结算与钱包
- Orders, logistics & fulfilment
- 订单、物流与履约
- Ratings, reviews & e-shops
- 评分、评价与网店
Commission / GMV-share revenue佣金 / GMV 分成收入
Who it's for为谁而建
Built for everyone in the loop.为医疗闭环中的每个人而建。
Individuals & families个人与家庭
Lifelong self-management and one continuously-updating personal health twin for the whole family.终身自我管理,为全家打造一个持续更新的个人健康孪生。
Doctors & clinics医生与诊所
Manage patients long-term and run a clinic through the Active Patient Workbench — from data to diagnosis and follow-up.通过“临床工作台(Active Patient Workbench)”长期管理病患、运营诊所 —— 从数据到诊断与随访。
Parents
家长
Build a lifelong health twin for a child from infancy, with long-range prediction and prevention from day one.从婴幼儿时期起为孩子建立终身健康孪生,从第一天就开始长期预测与预防。
Enterprises & research企业与科研
Plug in via API for cardiovascular, oncology, neuro/psychiatric and pediatric early-screening applications.通过 API 接入心血管、肿瘤、神经/精神及儿科等早期筛查应用。
Technology
技术
A defensible scientific moat.可防御的科学护城河。
Built on world-class statistical genetics and frontier AI — with a data flywheel that compounds with every user.建立在世界级统计遗传学与前沿 AI 之上 —— 数据飞轮随每一位用户不断复利增强。
Mixture-of-experts models混合专家模型
Open LLMs combined with bioscience models — AlphaFold2, AlphaGenome, Evo2 — orchestrated under a RAG + agent framework.开源大模型与生命科学基础模型 —— AlphaFold2、AlphaGenome、Evo2 —— 在 RAG + 智能体框架下协同编排。
Self-reinforcing data flywheel自我强化的数据飞轮
Multi-omic and multimodal data flows back continuously — models and personalization compound with every new user.多组学与多模态数据持续回流 —— 模型与个性化能力随每一位新用户不断复利增强。
Academic translation学术转化
Built on Prof. Pak Sham's statistical-genetics group at HKU, with an HKU PhD founding team turning research into product.依托香港大学沈柏松教授的统计遗传学团队,由港大博士创始团队将研究转化为产品。
Applications & pipeline应用与管线
One engine, a growing family of applications.一个引擎,不断扩展的应用家族。
Specialised models extend the twin into high-value clinical domains.专项模型把数字孪生延伸到高价值的临床领域。
G2H-CVD
Cardiovascular disease risk prediction — try the live risk tool today.心血管疾病风险预测 —— 立即体验在线风险评估工具。
Open the ASCVD risk tool 打开 ASCVD 风险评估工具G2H-Onco
Cancer early screening — multi-marker, multi-omics modelling.癌症早期筛查 —— 多标志物、多组学建模。
G2H-Neuro
Neurological & psychiatric risk, in cohort collaboration.神经与精神疾病风险,队列合作研究中。
2HAI for Lab
Automated multi-omics analysis for research institutions.面向科研机构的多组学自动化分析。
Traction
进展
Live product, real-world momentum.产品已上线,落地势能持续。
The full web platform is live and in use today — with pilots, partnerships and recognition already in motion.完整的网页平台已上线并投入使用 —— 试点、合作与获奖同步推进中。
Platform live平台已上线
The full web platform — personal, doctor and supplier — is live and in use today at 2health.ai.完整网页平台 —— 个人端、医生端与供应商端 —— 已在 2health.ai 上线并投入使用。
Mobile app移动 App
Native mobile apps rolling out in 2026, bringing the twin into everyday use.原生移动应用将于 2026 年陆续上架,让数字孪生融入日常。
Hospital pilots医院试点
Live pilots underway with leading private hospitals and clinic networks in Southeast Asia.已与东南亚多家领先私立医院及诊所网络开展在线试点。
Cross-border MOUs跨境合作备忘录
Signed with major hospital groups and clinic networks across Southeast Asia and Greater China.已与东南亚及大中华区多家大型医院集团与诊所网络签署。
International JV国际合资
A strategic partnership with leading regional investors to establish a joint venture for Southeast Asia and beyond.与区域领先投资方达成战略合作,拟设立合资公司拓展东南亚及更广市场。
Awards & funding奖项与资助
Hong Kong Government funding-scheme awardee; Maker-in-China 2025 (HK) Top 10 Award.香港政府资助计划获资助方;创客中国 2025(香港)前十强。
Market
市场
A large, fast-growing market.一个庞大且高速增长的市场。
Business model商业模式
Multiple ways to create — and capture — value.多种方式创造 —— 并捕获 —— 价值。
An “engine + ecosystem” model: 2Health AI provides the AI engine and platform, and local partners build the ecosystem in each market — turning one-off consumption into recurring, multi-stream revenue.“引擎 + 生态”模式:2Health AI 提供 AI 引擎与平台,本地伙伴在各市场共建生态 —— 把一次性消费转化为经常性、多来源的收入。
Labs, pharma & research实验室、药企与科研
API and project licensing, or white-label, for DTC labs, pharma and research groups.面向 DTC 实验室、药企与科研机构的 API 与项目授权,或白标合作。
Fintech, banks & insurers金融科技、银行与保险
Health data assets, credit scores and verified personal profiles that power insurance, lending and discounts.健康数据资产、信用评分与可信个人画像,赋能保险、信贷与折扣。
Individuals & families个人与家庭
Subscriptions, upgrades and tokens for the personal health twin and its assistants.个人健康孪生及其助手的订阅、增值与 tokens 消费。
Products & services hub产品与服务市场
AI-matched health commerce connecting verified suppliers to real, twin-derived demand.由 AI 匹配的健康电商,连接认证供应商与源自孪生的真实需求。
“More engagement, deeper stickiness” — from one-off consumption to recurring, multi-stream revenue.“更多互动,更强黏性” —— 从一次性消费到经常性、多来源的收入。
Trust, privacy & compliance信任、隐私与合规
Built to be trusted with the most personal data there is.为托付最私密的数据而生的信任。
Decision support, not diagnosis决策支持,而非诊断
2HAI is positioned as health information and clinical decision support — not a diagnostic device or prescription. AI guidance is designed to be validated against current clinical guidelines.2HAI 定位为健康信息与临床决策支持 —— 并非诊断器械或处方。AI 建议须依据现行临床指南进行验证。
Privacy by design隐私即设计
Encryption, de-identification, tiered and user-controlled authorization, and localized storage. Users keep the right to authorize — and revoke — access to their data.加密、去标识化、分级且由用户掌控的授权,以及本地化存储。用户始终保有授权 —— 及撤销 —— 数据访问的权利。
Multi-jurisdiction compliance多法域合规
Aligned with mainland China's PIPL, Data Security Law and human genetic-resources rules, Hong Kong's PDPO, Singapore's PDPA, and GDPR for international markets.遵循中国内地《个人信息保护法》《数据安全法》与人类遗传资源管理规定、香港《私隐条例》(PDPO)、新加坡 PDPA,以及面向国际市场的 GDPR。
Proprietary methodology & IP自主方法学与知识产权
Self-developed statistical-genetics and polygenic-scoring methods, with 2Health AI trademarks registered or pending across key markets.自主研发的统计遗传学与多基因评分方法,“2Health AI”商标在主要市场注册或申请中。
Structure & team架构与团队
Built to invest in.值得投资的团队。
2HEALTH AI LIMITED is a Hong Kong-based company that develops and operates 2Health AI, holding the core technology and IP.2HEALTH AI LIMITED 是一家总部位于香港的公司,开发并运营 2Health AI,持有核心技术与知识产权。
Dr. Lane Chen · 陈国蓝陈国蓝 Lane Chen
HKU PhD in statistical genetics & machine learning; BSc in biostatistics, Fudan University. Leads the company's technology and product direction.香港大学统计遗传学与机器学习博士,复旦大学生物统计学学士。主导公司技术与产品方向。
Dr. Zhang Zhifeng · 张志峰张志峰 博士
HKU PhD in biochemistry & pharmacy. Leads the company's scientific strategy & research direction.香港大学生物化学与药学博士。负责公司科学战略与研究方向。
Advisors & governance顾问与治理
Prof. Pak Sham · 沈柏松沈柏松 教授
Suen Chi-Sun Professor in Clinical Science and Chair Professor of Psychiatric Genetics at HKU; Founding Director of the Pan-Omics Centre and Co-director of the National Key Lab of Brain & Cognitive Sciences.香港大学 Suen Chi-Sun 临床科学讲座教授、精神遗传学讲座教授;泛组学中心创始主任,脑与认知科学国家重点实验室联合主任。
Dr. Thach Quoc Thuan
HKU, Hong Kong香港大学Ms. Shen Xiaoyu
沈晓雨 女士
Fudan University, Shanghai复旦大学 · 上海Ms. Alison Chan
Alison Chan 女士
Nanfung Group, Hong Kong南丰集团 · 香港Yang Jiajie
杨嘉杰
Fudan University, Shanghai复旦大学 · 上海Recognition
荣誉
Awards, grants & incubation.奖项、资助与孵化。
Competitions & honours赛事与荣誉
- Merit Award · Top 10 — “Maker in China” (HK)优胜奖 · 前十 —— 创客中国(香港赛区)
- National Bronze — China Int'l “Internet+”全国铜奖 —— 中国国际“互联网+”大赛
- National Bronze — “Challenge Cup” Entrepreneurship全国铜奖 —— “挑战杯”创业大赛
- Top 10 — HK Value Creation for Technology Pitching前十 —— 香港科技创业价值创造路演赛
- 2nd Prize — HKU Student Innovation & Entrepreneurship二等奖 —— 香港大学学生创新创业大赛
Grants & incubation资助与孵化
- HKSTP Incubation Programme香港科技园孵化计划
- HKSTP Ideation ✕ HKU iDendron SEED香港科技园 Ideation ✕ 港大 iDendron SEED
- Cyberport CCMF数码港 CCMF
- Hong Kong Government funding schemes香港政府资助计划
Predict · Prevent · Personalize预见 · 预防 · 个性化
Predict disease. Prevent illness. Personalize health — for life.预见疾病。主动预防。个性化健康 —— 陪伴一生。
Whether you're a hospital, clinic, insurer, investor or partner — or simply want to see the twin in action — we'd love to hear from you.无论你是医院、诊所、保险公司、投资人还是合作伙伴 —— 或只是想看看数字孪生的实际运行 —— 我们都期待与你交流。
- Founder & CEO创始人兼 CEODr. Lane Chen (Chen Guolan)陈国蓝 Lane Chen
- Email邮箱lanechen@2health.ai
- WhatsApp+852 4640 4365
- WeChat微信lane13318032043
- Web网站2health.cn · 2health.ai