2026 International AI in Precision Health Conference (AIPHC 2026)
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About this event
2026 Int'l AI in Precision Health Conference (AIPHC 2026)
The 2026 International AI in Precision Health Conference (AIPHC 2026) is a premier global gathering dedicated to advancing the intersection of artificial intelligence and precision health. Organized by Academic Communications, this event brings together researchers, academics, industry leaders, healthcare professionals, and policymakers to explore cutting-edge innovations, foster collaborations, and address challenges in leveraging AI for personalized healthcare solutions.
Event Highlights
- Technical sessions on AI-driven diagnostics, genomics, drug discovery, and patient care personalization
- Exhibition of AI healthcare technologies, startups, and research institutions
- Networking opportunities with global experts in AI, biotechnology, and clinical research
- Workshops on ethical AI in healthcare, data privacy, and regulatory frameworks
- Poster presentations and competitions for early-career researchers
Target Audience
- Academic researchers in AI, biomedical engineering, and data science
- Healthcare professionals and clinical practitioners
- Pharmaceutical and biotech industry executives
- AI startup founders and venture capitalists
- Policymakers and regulatory affairs specialists
- Students and postdoctoral scholars in healthinformatics and AI
Key Features
AIPHC 2026 emphasizes multidisciplinary dialogue through keynote speeches, panel discussions, and collaborative workshops. The conference will feature contributions from leading institutions such as the University of Liverpool, Taipei Medical University, and the University of Regensburg, ensuring a diverse exchange of ideas.
Invited Speakers Include:
Prof. Yalin Zheng (University of Liverpool, UK) |
Associate Professor Le Nguyen Quoc Khanh (Taipei Medical University, China) |
Prof. Dr. Bernd Blobel (University of Regensburg, Germany) |
Associate Professor Abdul Nasir bin Abd Ghafar (University Malaysia Pahang)
Venue & Location
The conference will be held in Chengdu, China, a city renowned for its technological innovation hubs and vibrant academic ecosystem. Attendees are advised to apply for Chinese visas in advance, as international participants must present valid visas for entry. Letters of invitation for visa applications can be requested from the conference secretariat.
Call for Participation
Researchers and professionals are invited to submit full papers, abstracts, or register as audience members. Deadlines for submissions and registration will be announced on the official website.
Visa Information
Overseas attendees must secure a valid Chinese visa prior to travel. Visa requirements vary by country of residence. Attendees should contact the nearest Chinese Embassy or Consulate-General for application details. The conference organizers can provide formal Letters of Invitation upon request to support visa applications.
Organized by Academic Communications, AIPHC 2026 is part of a global series of conferences connecting over 100,000 events and 100 million researchers worldwide.
Data sheet
2026 International AI in Precision Health Conference (AIPHC 2026) – Event Attendee & Buyer Profile Analysis
Event date: 17 July 2026 – 19 July 2026
Location: Chengdu Xinliang Hotel, Chengdu, China
Event status: Upcoming
Research date: 29 June 2026
Event Overview
| Event Name | 2026 Int'l AI in Precision Health Conference (AIPHC 2026) |
| Event Date | 17 July 2026 – 19 July 2026 |
| Event Status | Upcoming |
| Venue | Chengdu Xinliang Hotel |
| City | Chengdu |
| State / Region | Sichuan |
| Country | China |
| Organizer | Academic Communications, PTE. LTD. |
| Official Event Website | academicx.org/AIPHC/2026/ |
| Event Type | International academic conference with technical sessions, invited speakers, paper presentations, and listener registration |
| Primary Category | Medical & Pharma |
| Secondary Applicable Categories | IT & Technology; Science & Research |
| Audience Reach | International academic and healthcare innovation audience |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for attendance size; high for date, city, country, organizer, and speaker / committee organizations confirmed on the official event website |
| Main Purpose of Event | To convene researchers, healthcare professionals, technical experts, and related stakeholders around AI applications in precision health, including diagnostics, genomics, patient personalization, ethics, and research collaboration |
About the Event
AIPHC 2026 is an international conference focused on the application of artificial intelligence in precision health. Based on the official event page, the conference is organized by Academic Communications and scheduled for Chengdu, China, beginning on 17 July 2026. The site also confirms invited speakers and a technical program committee spanning universities in the UK, China, Germany, Malaysia, and Hong Kong, indicating a research-led and internationally positioned program.
From a commercial and lead-generation perspective, the event is most relevant for organizations selling to research institutions, medical universities, healthcare AI teams, digital health innovators, clinical data groups, biotech R&D stakeholders, and policy or ethics-oriented decision-makers. It appears stronger for account-based outreach, speaker-organization targeting, partnerships, and thought-leadership engagement than for pure attendee-list certainty, because no public attendee directory or confirmed buyer list was available in the reviewed official materials.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Academic researchers | Universities, medical schools, biomedical research labs | Influence software, dataset, instrumentation, cloud, and collaboration-tool adoption | High relevance for AI platforms, data tools, imaging, genomics, and research services |
| Clinical and hospital innovation teams | Hospitals, clinical centers, precision medicine programs | Evaluate diagnostics, workflow integration, clinical AI, privacy, and patient care tools | Relevant for digital health, clinical decision support, interoperability, and analytics vendors |
| Biotech and pharmaceutical R&D leaders | Biotech firms, pharma R&D units, translational medicine groups | Potential buyers of AI-driven discovery, biomarker, and precision therapeutics solutions | Strong fit for drug discovery AI, omics analysis, and regulated data infrastructure |
| Health data science and informatics teams | Research institutes, hospital analytics teams, population health programs | Assess datasets, model performance, compute resources, and governance tools | Important for platform, data engineering, cybersecurity, and AI infrastructure suppliers |
| Healthcare AI startups | Early-stage and growth-stage medtech / health AI companies | Buy development tools, cloud credits, datasets, regulatory support, and partnerships | Relevant for channel partnerships, investment readiness, and technology licensing |
| Policy, regulatory, and ethics stakeholders | Public health bodies, regulatory researchers, ethics committees, health policy organizations | Shape procurement requirements, governance standards, and deployment conditions | Relevant for compliance, privacy, explainability, and auditability solution providers |
| University technology transfer and partnership teams | Research commercialization offices, industry liaison teams | Enable licensing, pilot projects, co-development, and grants | Useful for partnership-led sales and innovation ecosystem access |
| Students and postdoctoral researchers | Universities and research programs | Low direct buying power; future users and research influencers | Relevant for awareness, recruitment, and developer-community building |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Chengdu | Local universities, hospitals, research institutes, and innovation organizations | Medium | Host-city convenience supports local academic and healthcare participation |
| Sichuan Province | Regional healthcare systems, universities, and life sciences stakeholders | Medium | Likely draw for western China regional participation |
| Major Chinese research hubs | Beijing, Shanghai, Shenzhen, Guangzhou, Hong Kong, Xi'an and other academic centers | High | Likely source of medical AI researchers, informatics teams, and startup founders |
| Asia-Pacific | Universities, medtech researchers, and health innovation teams from nearby countries | Medium | Official site includes overseas visa guidance, supporting expected international attendance |
| Europe and broader international market | Speaker and committee-linked institutions and global research participants | Selective but strategic | Confirmed invited speakers from the UK and Germany support international research profile |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event is positioned as an international conference, includes overseas visa support language, and lists invited speakers / committee members from multiple countries. |
| National | Strong secondary reach | China-based researchers, universities, hospitals, and medical AI teams are likely a major share of attendees given the event location. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| University of Liverpool | Academic research institution | Confirmed invited speaker organization with clear research relevance to AI and healthcare collaboration | liverpool.ac.uk | Professor, Principal Investigator, Director Research, Head of Biomedical Informatics, Partnerships Director | Confirmed Speaker Organization |
| Taipei Medical University | Medical university | Confirmed invited speaker organization; highly relevant for precision health research, medical AI, and clinical partnerships | tmu.edu.tw | Dean, Professor, Director Precision Medicine, CIO, Clinical Research Director | Confirmed Speaker Organization |
| University of Regensburg, Medical Faculty | Medical faculty / academic research institution | Confirmed invited speaker organization tied to medical and health informatics expertise | ur.de | Faculty Dean, Professor Medical Informatics, Research Director, Digital Health Program Lead | Confirmed Speaker Organization |
| University Malaysia Pahang Al-Sultan Abdullah | University / applied research institution | Confirmed invited speaker organization with cross-disciplinary engineering and data science relevance | umpsa.edu.my | Associate Professor, Research Center Director, AI Lab Lead, Industry Collaboration Director | Confirmed Speaker Organization |
| The Chinese University of Hong Kong (CUHK) | University / biomedical and computing research institution | Confirmed technical program committee organization with strong AI and health research relevance | cuhk.edu.hk | Professor, Department Chair, Director Bioinformatics, AI Research Lead, Clinical Data Science Director | Confirmed Speaker Organization |
| Academic Communications, PTE. LTD. | Organizer / conference operator | Confirmed organizer; useful for sponsorship, partnership, media, and conference-access discussions | academicx.org | Conference Manager, Partnerships Manager, Sponsorship Manager, Program Coordinator | Confirmed Current-Year Participant |
Official current-year attendee, exhibitor, sponsor, or listener lists were not publicly available in the reviewed source material. As a result, this section is limited to organizations directly confirmed on the official event website.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Director of Research | Research | Director | Owns budget influence for research tools, collaborations, and program direction |
| 2 | Professor / Principal Investigator | Research / Academic | Senior | Shapes tool selection, consortium partnerships, and grant-aligned procurement |
| 3 | Chief Medical Information Officer | Clinical Informatics / IT | C-Level | Key decision-maker for hospital AI deployment and clinical data strategy |
| 4 | Director of Bioinformatics | Bioinformatics / Data Science | Director | Direct buyer or evaluator for genomic analytics and precision health workflows |
| 5 | Head of Data Science | Data / Analytics | Head / Director | Evaluates model development environments, cloud, MLOps, and data pipelines |
| 6 | Clinical Research Director | Clinical Research | Director | Relevant for clinical validation, patient stratification, and AI-assisted trial workflows |
| 7 | CTO / Chief Technology Officer | Technology | C-Level | Important for platform architecture, interoperability, and AI product evaluation |
| 8 | Director of Precision Medicine | Clinical / Research | Director | Directly aligned with genomics, biomarkers, and personalized care initiatives |
| 9 | Regulatory Affairs Director | Regulatory / Compliance | Director | Relevant where AI governance, privacy, and health regulation are central topics |
| 10 | Partnerships Director | Business Development / Partnerships | Director | Strong fit for consortium, pilot, co-development, and commercialization outreach |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Hospital & Health Care | Direct fit for clinical AI and precision health adoption | Clinical deployment, diagnostics, patient stratification |
| 2 | Biotechnology | Strong alignment with genomics, biomarker research, and precision therapeutics | AI-enabled discovery and translational research |
| 3 | Pharmaceuticals | Relevant to AI-driven drug discovery and personalized treatment pipelines | R&D analytics, target identification, trial optimization |
| 4 | Higher Education | Official speaker and committee mix is heavily university-led | Research collaboration, grants, tools, and partnerships |
| 5 | Research | Core event orientation is scientific and technical | Pilot studies, data platforms, algorithm validation |
| 6 | Information Technology & Services | Relevant for healthcare AI implementation and enterprise integration | Cloud, MLOps, data engineering, systems integration |
| 7 | Computer Software | Applies to AI platform providers and health software developers | Modeling platforms, analytics tools, workflow applications |
| 8 | Medical Devices | Precision diagnostics and AI-supported device innovation are relevant themes | Imaging, diagnostics, embedded AI, monitoring tools |
| 9 | Computer & Network Security | Health data privacy and secure AI workflows are core adoption issues | Data governance, secure sharing, compliance controls |
| 10 | Government Administration | Relevant for public health and policy participation where AI regulation is discussed | Health policy, procurement frameworks, ethics oversight |
| 11 | Public Policy | Ethics, privacy, and regulatory frameworks are prominent conference topics | Governance, standards, cross-sector initiatives |
| 12 | Venture Capital & Private Equity | Relevant if targeting health AI startup ecosystem and commercialization channels | Investment, partnerships, market scanning |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not confirmed | Official event page reviewed | No attendance count, registration volume, or hall capacity detail was published in the provided source material |
| Exhibitor count | Not publicly confirmed | Not confirmed | Official event page reviewed | Conference appears primarily academic; no exhibitor directory was visible in the reviewed content |
| Buyer count | Not publicly confirmed | Not confirmed | Official event page reviewed | No buyer or hosted-buyer program disclosed |
| Speaker count | 4 invited speakers listed | Confirmed | Official event page invited speaker section | Only the invited speaker list visible in provided text was counted |
| Technical program committee members visible in provided source text | 5 listed | Confirmed | Official event page TPC section | Useful for account targeting, but not a full attendee count |
| Sponsor count | Not publicly confirmed | Not confirmed | Official event page reviewed | No sponsor roster visible in the reviewed material |
| Historical attendance | Not available in reviewed source text | Historical / prior-year evidence unavailable | Official event page and organizer home page | No prior-year AIPHC attendance numbers were visible in the supplied content |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| AI-driven diagnostics | Improve speed, accuracy, and clinical decision support | Demo validation studies, workflow integration, pilot partnerships | Diagnostic AI, imaging analytics, explainable AI tools |
| Genomics and precision medicine | Analyze multi-omics data and stratify patients | Research collaborations, bioinformatics tooling, data-sharing frameworks | Genomics analytics, cloud compute, data platforms, annotation tools |
| Drug discovery | Accelerate candidate identification and reduce research cycles | R&D partnerships, licensing discussions, proof-of-concept work | AI discovery platforms, target prediction, compound screening tools |
| Personalized patient care | Use data to tailor treatment and monitoring pathways | Clinical pilot design, interoperability and care-pathway integration | Population health analytics, risk prediction, patient engagement tools |
| Ethical AI in healthcare | Ensure fairness, transparency, and responsible deployment | Governance workshops, policy briefings, compliance-led engagement | AI governance, bias monitoring, model audit tools |
| Data privacy and regulation | Protect health data and meet regulatory requirements | Security-led selling, architecture reviews, compliance mapping | Privacy engineering, secure collaboration, consent and access management |
| Research collaboration and publication | Build cross-border networks and disseminate results | Partnership outreach, joint grant development, co-authorship ecosystems | Collaboration software, data repositories, project management tools |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | High relevance for healthcare AI, research tools, clinical analytics, precision medicine, and data infrastructure providers |
| Decision-maker availability | Medium | Speaker and committee evidence shows senior technical leaders, but public proof of enterprise procurement attendance is limited |
| Data collection potential | Medium | Good for speaker/TPC-based account research; weaker for verified attendee-list capture based on public data alone |
| Apollo targeting potential | Very High | Clear industry, title, and keyword clusters exist across health AI, research, biotech, hospitals, and universities |
| Geographic targeting potential | High | China, APAC, and global research hubs can be segmented effectively for outreach |
| Best outreach approach | High | Use conference-theme messaging, speaker-organization relevance, research collaboration framing, and problem-led value propositions |
| Overall lead quality | High | Strong niche relevance, especially for precision health and healthcare AI vendors, though list-verification depth is limited |
| Best use case | High | ABM targeting, speaker-led account identification, partnership outreach, and high-intent niche prospecting |
| Limitations / risks | Medium | No public current-year attendee directory, no organizer-confirmed attendance volume, and limited sponsor/exhibitor transparency in the reviewed material |
B2B attendee list building suitability: Suitable for focused B2B account targeting and niche healthcare AI prospecting, but not ideal for fully verified current-year attendee list building unless additional organizer-issued participant data becomes available.
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Hospital & Health Care; Biotechnology; Pharmaceuticals; Higher Education; Research; Information Technology & Services; Computer Software; Medical Devices; Computer & Network Security; Government Administration; Public Policy | Capture the core research, healthcare, and AI ecosystem around the conference |
| Departments | Research; Engineering; Information Technology; Operations; Business Development; Education; Product Management | Focus on technical evaluators, program leaders, and partnership owners |
| Seniority | C-Level; VP; Director; Head; Partner; Professor / equivalent senior research leadership where searchable | Prioritize budget holders and strategic influencers |
| Job titles | Chief Medical Information Officer, CTO, Director of Research, Director of Bioinformatics, Head of Data Science, Director of Precision Medicine, Clinical Research Director, AI Research Lead, Medical Informatics Director, Partnerships Director | Reflect actual conference themes and likely decision paths |
| Geography | China; Hong Kong; Taiwan; Singapore; Malaysia; Germany; United Kingdom; broader APAC and Europe as secondary segments | Mirror confirmed speaker geography and likely international research reach |
| Employee size | 51-200; 201-500; 501-1000; 1001-5000; 5001+ | Covers research startups through large hospitals, universities, and pharma organizations |
| Keywords | precision health, precision medicine, medical AI, digital health, bioinformatics, genomics, clinical informatics, biomedical data science, healthcare analytics, translational medicine, patient stratification | Improve thematic precision in account and contact selection |
| Technologies, if relevant | AI / ML stack, cloud infrastructure, data analytics, genomics platforms, EHR integration, privacy / security tooling | Useful for platform vendors and implementation-oriented campaigns |
| Revenue range, if relevant | Mid-market to enterprise; not mandatory for university and hospital targeting | Helps narrow commercial accounts, less useful for academic institutions |
| Company type | Public, private, nonprofit, academic institution, hospital system, government-linked research body | Reflects mixed participation model typical of research-health conferences |
| Funding / public company filters, if relevant | Use selectively for venture-backed health AI or listed biotech / pharma targets | Best for commercialization and partnership campaigns |
Suggested Apollo Search Logic: ("precision health" OR "precision medicine" OR genomics OR bioinformatics OR "medical AI" OR "clinical informatics" OR "digital health" OR "healthcare analytics") AND (Director OR Head OR Chief OR VP OR Professor) AND (Research OR IT OR Clinical OR Data OR Partnerships).
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| AIPHC 2026 Official Event Page | Official event website | Event name, city, country, start date shown, invited speakers, technical program committee, visa guidance, organizer branding, conference positioning | High |
| Academic Communications Home Page | Official organizer website | Organizer identity, conference network context, international conference platform positioning | High |
| User-supplied known event details | Provided event data | End date and venue name used where not contradicted by the official page excerpt | Medium |
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