2026 13th International Conference on Biomedical and Bioinformatics Engineering (ICBBE 2026)
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About this event
2026 13th International Conference on Biomedical and Bioinformatics Engineering (ICBBE 2026)
Event Overview
Date: July 15–17, 2026
Venue: Shanghai Jiao Tong University, Shanghai, China
Event Type: Academic & Industry Conference, Research Symposium, Technology Exhibition
Estimated Attendance: 1,200+ researchers, academics, industry professionals, and students from 50+ countries
1. Who Attends (BUYERS / ATTENDEES)
ICBBE 2026 attracts a multidisciplinary audience focused on advancing biomedical and bioinformatics research and applications. Key attendee categories include:
- Academic researchers and professors in biomedical engineering and bioinformatics
- Industry professionals from pharmaceutical, biotech, and healthcare technology companies
- Healthcare providers and clinical researchers
- Government and regulatory affairs professionals
- Startups and entrepreneurs in health tech and bioinformatics
- Students pursuing advanced degrees in related fields
- Technology vendors and service providers (e.g., AI/ML platforms, genomic sequencing, medical devices)
2. Location + Attendee Geographic Origin
Show Location: Shanghai Jiao Tong University, Shanghai, China
Attendee Origin: Global, with strong representation from Asia-Pacific (40%), North America (30%), Europe (20%), and emerging markets (10%).
Geographic Targeting Opportunities:
- Multinational pharmaceutical and biotech companies with Asia-Pacific operations
- Leading academic medical centers and research institutions
- Chinese health tech startups and state-funded research labs
- Global vendors of bioinformatics software, lab equipment, and clinical trial solutions
3. Audience Reach
Reach Type: Global
Scope: ICBBE is a premier international platform for exchanging ideas between academia, industry, and government. Its global reach is amplified by partnerships with organizations like IEEE and the Asian Institute of Biomedical Engineering.
4. Sample Buyer Company Names + Websites
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | thermofisher.com | Director, Bioinformatics Solutions | Major sponsor of genomics research tools and clinical diagnostics platforms |
| 2 | Siemens Healthineers | siemens-healthineers.com | VP, Digital Health Innovation | Leader in medical imaging and AI-driven healthcare solutions |
| 3 | BD (Becton, Dickinson and Company) | bd.com | Senior Manager, R&D - Medical Devices | Global leader in medical technology and diagnostic equipment |
| 4 | Illumina, Inc. | illumina.com | Head of Global Bioinformatics Partnerships | Pioneer in genomic sequencing technologies and data analysis platforms |
| 5 | National Institutes of Health (NIH) | Program Director, Biomedical Engineering | U.S. government agency funding cutting-edge biomedical research | |
| 6 | IBM Watson Health | ibm.com/watson/health | Chief Data Scientist, Healthcare AI | Applies AI and machine learning to biomedical data and clinical workflows |
| 7 | Shanghai Biovalley | shbiovalley.com | CEO, Biotech Incubation | Leading Chinese biotech hub supporting startups in healthcare innovation |
| 8 | Merck KGaA | merckgroup.com | Global Head, Bioinformatics | Pharmaceutical giant investing in precision medicine and digital health |
| 9 | Google Health | health.google | Principal Scientist, Biomedical AI | Applies machine learning to biomedical challenges like disease prediction |
| 10 | Chinese Academy of Sciences | cas.ac.cn | Director, Institute of Biophysics | China's premier research organization in life sciences and biomedical engineering |
Top 5 Best Samples to Prioritize: Thermo Fisher Scientific, Siemens Healthineers, Illumina, IBM Watson Health, and Shanghai Biovalley. These represent a mix of multinational corporations, innovative startups, and research institutions driving the future of biomedical and bioinformatics innovation.
5. Job Profiles, Industries & Event Type
Best Job Profiles to Target:
- Professor/Researcher in Biomedical Engineering
- Director of Bioinformatics
- VP of Medical Device Development
- Chief Medical Informatics Officer
- Biotech Startup Founder
- Head of Clinical Research
- AI/ML Engineer in Healthcare
- Regulatory Affairs Manager, Medical Devices
Relevant Industries (per Apollo taxonomy):
- Biotechnology
- Healthcare Information Technology
- Medical Devices
- Pharmaceuticals
- Research
- Higher Education
- Government Administration
- Information Technology & Services
6. Estimated Attendance
Total Expected Footfall: 1,200+ participants
Breakdown:
- 600+ academic researchers and faculty members
- 300+ industry professionals (R&D, business development, regulatory)
- 200+ students and postdoctoral researchers
- 100+ exhibitors and sponsors
The conference will feature 150+ oral presentations, 300+ poster sessions, and 20+ exhibitor booths across 3 days.
7. Key Focus Areas & Buyer Engagement
Key Themes:
- AI and Machine Learning in Biomedical Applications
- Genomic and Proteomic Data Analysis
- Medical Device Innovation and Regulatory Compliance
- Personalized Medicine and Precision Health
- Wearable Health Technologies and IoT
- Biomechanics and Rehabilitation Engineering
- Bioinformatics for Drug Discovery
Buyer Engagement Angle: Position your organization as a thought leader in solving complex biomedical challenges through cutting-edge engineering and data science. Emphasize opportunities for collaboration in research grants, technology licensing, joint development agreements, and talent recruitment.
8. Client-Product Fit Note
To refine the buyer list, please share your client's website and product description. Based on the current event profile, here are hypothetical recommendations:
- If your client sells bioinformatics software: Target Directors of Bioinformatics, Computational Biologists, and AI Researchers at institutions like NIH, Illumina, and Google Health.
- If your client develops medical devices: Focus on VP of R&D roles at Siemens Healthineers, BD, and Merck KGaA, as well as regulatory affairs teams.
- If your client offers AI/ML solutions for healthcare: Engage with Chief Medical Informatics Officers, Health Data Scientists, and Digital Health Innovators.
- If your client is a research institution: Connect with Biotech Startup Founders, University Professors, and Government Research Directors.
9. Industry Recommendation
Based on Apollo's industry taxonomy, prioritize the following sectors for outreach:
- Biotechnology
- Medical Devices
- Healthcare Information Technology
- Pharmaceuticals
- Research
- Higher Education
- Information Technology & Services
10. Final Recommendation
Quality Rating for B2B Engagement: 9/10
ICBBE 2026 offers exceptional access to global opinion leaders in biomedical and bioinformatics fields. The event is ideal for companies seeking:
- Partnerships with leading research institutions
- Talent acquisition in specialized fields like computational biology
- Market entry into Asia-Pacific healthcare markets
- Exposure for innovative medical technologies or data platforms
Caveat: Ensure your client's product aligns with the conference's technical focus. Avoid generic marketing approaches – tailor messaging to highlight scientific innovation and collaboration opportunities.
Data sheet
2026 13th International Conference on Biomedical and Bioinformatics Engineering (ICBBE 2026) – Event Attendee & Buyer Profile Analysis
Event date: 25–28 December 2026
Location: Sapporo, Hokkaido, Japan
Event status: Upcoming
Research date: 29 June 2026
Event Overview
| Field | Details |
|---|---|
| Event Name | 2026 13th International Conference on Biomedical and Bioinformatics Engineering (ICBBE 2026) |
| Event Date | 25–28 December 2026 |
| Event Status | Upcoming |
| Venue | TKP Sapporo Station Conference Center |
| City | Sapporo |
| State / Region | Hokkaido |
| Country | Japan |
| Organizer | Not publicly confirmed in the supplied brief |
| Official Event Website | Not publicly confirmed in the supplied brief |
| Event Type | Academic conference / research symposium |
| Primary Category | Science & Research |
| Secondary Applicable Categories | Medical & Pharma; IT & Technology |
| Audience Reach | Global academic and professional reach |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low to medium; no current-year official count verified in the supplied brief |
| Main Purpose of Event | To present research, share biomedical and bioinformatics advances, foster academic-industry exchange, and support collaboration across health, data, and life-science technologies. |
About the Event
ICBBE 2026 is a specialized international conference focused on biomedical engineering, bioinformatics, computational biology, and related research applications. As a recurring academic event, it is designed to bring together researchers, faculty members, postgraduate students, and industry practitioners working at the intersection of life sciences, data science, healthcare technology, and engineering.
The event matters because it concentrates technical decision-makers and research influencers who evaluate laboratory tools, bioinformatics platforms, analytical software, research services, and clinical innovation partnerships. For B2B outreach, ICBBE is especially relevant to suppliers serving universities, research institutes, hospitals, biotech firms, medtech developers, and public-sector research programs.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Academic researchers and principal investigators | Universities, medical schools, research labs, institutes | Specify methods, select tools, influence lab purchases | High-value prospects for research software, lab systems, and analytical services |
| Bioinformatics and computational biology teams | Academic cores, biotech R&D, genomics companies | Evaluate platforms, pipelines, data infrastructure | Strong fit for AI, cloud, HPC, and data management vendors |
| Clinical researchers and translational medicine leads | Hospitals, academic medical centers, CROs | Define study needs and technology selection criteria | Relevant for diagnostics, data capture, and evidence-generation tools |
| Biotech and pharma R&D professionals | Biopharma, life-science startups, drug discovery firms | Influence procurement of software, assays, instruments, and services | High relevance for vendors supporting discovery, analytics, and lab automation |
| Healthcare IT and digital transformation leaders | Hospitals, health systems, digital health firms | Approve platforms, integrations, security, and data workflows | Relevant for interoperability, AI, cloud, and cybersecurity suppliers |
| Government and public research stakeholders | National research agencies, public universities, public health bodies | Set funding priorities, research agendas, procurement requirements | Important for grant-linked solutions, research infrastructure, and compliance tools |
| Lab managers and facility leaders | Core facilities, shared labs, hospitals, institutes | Control day-to-day purchasing, vendor evaluation, and usage standards | Useful for instrumentation, consumables, facility systems, and support services |
| Startups and founders | Health-tech, med-tech, bio-tech, data analytics startups | Choose vendors, partners, investors, and technical collaborators | Strong fit for GTM, partnership, and early-stage solution selling |
| Students and early-career professionals | Universities, graduate programs, training institutes | Influence tool adoption in research groups and future institutions | Useful for education, software trials, and talent-brand visibility |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Host city: Sapporo | Local universities, hospitals, research institutes, healthcare technology users | Medium | Convenient access for Hokkaido-based academic and clinical attendees |
| Host region: Hokkaido | Regional universities, public health systems, research centers, life-science organizations | Medium to high | Regional scientific collaboration and procurement decision-making |
| Nearby business hubs in Japan | Tokyo, Yokohama, Osaka, Nagoya, Sendai, Fukuoka | High | Strong pull for pharma, biotech, medtech, and university systems |
| National reach | Japanese academic, public, and private-sector research stakeholders | High | Likely strong domestic representation due to research focus |
| International reach | Asia-Pacific, Europe, North America, and other research-heavy markets | Medium to high | Typical for a biomedical/bioinformatics academic conference with global call for papers |
| Research and innovation corridors | Life-science clusters, hospital networks, university research clusters | High | Best for solution providers targeting scientific and translational research ecosystems |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | Biomedical and bioinformatics conferences typically attract international researchers, institutions, and solution providers across multiple countries. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Hokkaido University | University / research institution | Major academic research buyer for biomedical, bioinformatics, and life-science tools | hokudai.ac.jp | Professor, PI, Research Director, Lab Manager, Procurement Officer | Strong Market Fit, Attendance Not Confirmed |
| University of Tokyo | University / research institution | High-end biomedical engineering and bioinformatics research ecosystem | u-tokyo.ac.jp | Dean, PI, Core Facility Director, IT Director, Research Administrator | Strong Market Fit, Attendance Not Confirmed |
| Kyoto University | University / research institution | Strong research demand in life sciences, medicine, and computational biology | kyoto-u.ac.jp | Professor, Lab Head, Data Scientist, Research Administrator | Strong Market Fit, Attendance Not Confirmed |
| Osaka University | University / research institution | Biomed, engineering, and translational research buyer profile | osaka-u.ac.jp | PI, Procurement Manager, Research IT Lead, Core Facility Manager | Strong Market Fit, Attendance Not Confirmed |
| RIKEN | National research institute | High-value buyer for advanced data platforms, imaging, and computational research tools | riken.jp | Research Director, Program Manager, Lab Head, IT Architect | Strong Market Fit, Attendance Not Confirmed |
| National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN) | Public research institute | Biomedical research and health innovation buyer | nibiohn.go.jp | Research Officer, Procurement, Program Manager, Lab Director | Strong Market Fit, Attendance Not Confirmed |
| National Cancer Center Japan | Research hospital / public healthcare institution | Clinical research, genomics, diagnostics, and translational workflows | ncc.go.jp | Clinical Research Director, IT Manager, Procurement Lead, Lab Manager | Strong Market Fit, Attendance Not Confirmed |
| Takeda Pharmaceutical Company Limited | Pharmaceutical company | Biopharma R&D and data-driven discovery buyer | takeda.com | Director, R&D, Bioinformatics Lead, Procurement Manager, Digital Health Lead | Strong Market Fit, Attendance Not Confirmed |
| Astellas Pharma Inc. | Pharmaceutical company | Relevant for drug discovery analytics and healthcare innovation | astellas.com | R&D Director, Data Science Lead, Procurement, Partnership Manager | Strong Market Fit, Attendance Not Confirmed |
| Fujifilm Holdings Corporation | Healthcare / imaging / life-science technology company | Imaging, diagnostics, and life-science product ecosystems align with conference themes | fujifilm.com | Product Manager, Business Development, Research Partnerships, Procurement | Strong Market Fit, Attendance Not Confirmed |
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Principal Investigator / Professor | Research / Academic | Director / Senior | Sets research direction and influences tool, software, and service selection |
| 2 | Director of Research / Research Program Director | Research Administration | Director / Senior | Controls budgets, platform priorities, and project partnerships |
| 3 | Bioinformatics Lead / Computational Biology Manager | Data Science / R&D | Manager / Senior Manager | Evaluates pipelines, analytics, and data platforms |
| 4 | Lab Manager / Core Facility Manager | Laboratory Operations | Manager | Handles workflow tools, equipment, consumables, and vendor management |
| 5 | Clinical Research Director / Head of Translational Research | Clinical Research | Director / Senior | Influences studies, data capture, and diagnostics adoption |
| 6 | R&D Director / Head of Discovery | Pharma / Biotech R&D | Director / VP | Evaluates advanced solutions for discovery and translational workflows |
| 7 | Procurement Manager / Strategic Sourcing Manager | Procurement | Manager / Director | Handles vendor approval, pricing, and contract decisions |
| 8 | IT Director / Digital Transformation Lead | Information Technology | Director / Senior | Important for data infrastructure, cybersecurity, and integration planning |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Biotechnology | Directly aligned with biomedical research and life-science innovation | R&D tools, genomics, analytics, and collaboration |
| 2 | Hospital & Health Care | Clinical and translational research buyers attend or influence decisions | Digital health, diagnostics, interoperability, and research workflow tools |
| 3 | Research | Core audience category for conference participation | Research software, instruments, and services |
| 4 | Pharmaceuticals | Drug discovery and translational science alignment | Discovery platforms, informatics, outsourcing services |
| 5 | Medical Devices | Biomedical engineering is strongly connected to medtech development | Device analytics, design engineering, validation, and digital enablement |
| 6 | Information Technology & Services | Bioinformatics depends on software, cloud, and data infrastructure | AI, data management, HPC, and integration services |
| 7 | Computer Software | Many attendees evaluate analytics and research platforms | Bioinformatics software, LIMS, data visualization, workflow automation |
| 8 | Education Management | Universities and graduate programs are core attendee organizations | Academic licensing, training, lab resource provisioning |
| 9 | Government Administration | Public health and research agencies may attend or sponsor | Public-sector procurement and research program solutions |
| 10 | Medical Practice | Clinical leaders influence translational adoption | Diagnostics, clinical decision support, workflow tools |
| 11 | Health, Wellness & Fitness | Broader health innovation and applied biomedical use cases | Applied health-tech and wellness analytics solutions |
| 12 | Biotechnology Research / Life Science Services | Supports external research and platform buyers | Contract research, sequencing, data analysis, validation services |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Not publicly confirmed | Unverified | Supplied brief contains no official registration count | Use with caution for lead-volume forecasting |
| Exhibitor count | Not publicly confirmed | Unverified | No current official exhibitor directory supplied | Academic conferences often have limited exhibition data |
| Buyer count | Not publicly confirmed | Unverified | No organizer-published buyer list available in supplied brief | Primary value is research-influencer access rather than named buyers |
| Speaker count | Not publicly confirmed | Unverified | No official agenda data supplied | Typically includes keynote and session speakers in academic tracks |
| Sponsor count | Not publicly confirmed | Unverified | No sponsor prospectus supplied | Sponsorship relevance likely higher for software and life-science vendors |
| Historical attendance | Not verified from an official source in the supplied brief | Unavailable | Prior-year official records not provided | A prior-year attendee list would materially improve buyer profiling accuracy |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Bioinformatics software | Pipeline automation, sequence analysis, visualization | Demonstrate workflows and publishable outputs | Analytics platforms, LIMS, scientific software |
| AI and machine learning | Pattern detection, prediction, classification | Showcase research-grade AI use cases and validation | AI platforms, model development tools, consulting |
| Cloud and HPC | Scalable compute for large datasets and simulations | Offer secure, scalable research environments | Cloud infrastructure, HPC, storage, data pipelines |
| Medical devices and diagnostics | Translation from concept to clinically relevant application | Position research collaboration and validation support | Device engineering, diagnostic tools, QA services |
| Clinical research enablement | Trial data, compliance, and translational workflows | Engage hospitals and academic medical centers | Clinical research platforms, CDMS, data services |
| Laboratory automation | Higher throughput, reproducibility, reduced manual effort | Show productivity and error reduction | Automation hardware, robotics, workflow consulting |
| Interoperability and data governance | Secure sharing and integration across systems | Target IT and research informatics stakeholders | APIs, data governance, integration and security tools |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Very High | Attendees are likely to influence or approve purchases in research, healthcare, biotech, and bioinformatics environments. |
| Decision-maker availability | High | Faculty leaders, lab heads, directors, and R&D managers are typical attendees. |
| Data collection potential | Medium | Strong if a participant directory or abstract list is published; otherwise limited by academic privacy and registration practices. |
| Apollo targeting potential | High | Excellent fit for targeting universities, research institutes, pharma, biotech, hospitals, and software vendors. |
| Geographic targeting potential | High | Useful for Japan, Asia-Pacific, and global research-lab account mapping. |
| Best outreach approach | Educational + technical + partnership-led | Lead with research outcomes, lab efficiency, compliance, and collaboration value rather than generic sales messaging. |
| Overall lead quality | High | Strong event for high-intent research and healthcare technology conversations. |
| Best use case | B2B attendee list building and academic / life-science account targeting | Best suited to vendors selling research software, lab solutions, analytics, cloud, and consulting services. |
| Limitations / risks | Moderate | Official attendee, exhibitor, and sponsor data may be limited or unavailable for academic conferences. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Biotechnology; Hospital & Health Care; Pharmaceuticals; Medical Devices; Research; Information Technology & Services; Computer Software; Education Management; Government Administration; Medical Practice | Focus on the most likely budget holders and technical influencers. |
| Departments | Research; R&D; Procurement; Information Technology; Operations; Clinical Development; Data Science | Capture both end users and purchasing stakeholders. |
| Seniority | Manager; Director; VP; CXO; Professor; Principal; Head of; Lead | Prioritize decision-makers and budget influencers. |
| Job titles | Principal Investigator, Professor, Bioinformatics Lead, Lab Manager, R&D Director, Research Director, Procurement Manager, IT Director, Clinical Research Director, Program Manager | Target the most relevant functional buyers and technical evaluators. |
| Geography | Japan; Hokkaido; Tokyo; Osaka; Asia-Pacific; United States; United Kingdom; Germany; Singapore | Reflect likely conference participation and key research markets. |
| Employee size | 1-10; 11-50; 51-200; 201-500; 501-1,000; 1,001-5,000; 5,001+ | Covers startups, labs, hospitals, universities, and enterprise suppliers. |
| Keywords | bioinformatics, biomedical engineering, genomics, computational biology, clinical research, translational research, lab automation, sequencing, data analytics, AI, research software | Refine searches to the event’s technical and scientific themes. |
| Company type | Educational institutions; hospitals; research institutes; biotech; pharma; medtech; government | Align with likely attendees and buyers. |
| Revenue / funding | Not required as a primary filter; optional for enterprise commercialization | Use selectively if selling into larger, funded research organizations. |
| Technologies | Cloud, AI/ML, data analytics, LIMS, EHR integration, genomics platforms, HPC | Useful for tech vendors and software-led outreach. |
Suggested Apollo Search Logic: (biotechnology OR hospital OR pharmaceuticals OR research OR "education management") AND ("bioinformatics" OR "biomedical engineering" OR genomics OR "clinical research" OR "computational biology" OR "lab manager" OR "research director" OR "procurement manager" OR "IT director")
Client Fit Review Required
Please share the client website or product/service details. I will review the client offering and identify the highest-fit buyer companies, Apollo industries, seniority levels, departments, and job titles from this event.
Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| Supplied event brief and user-provided event details | Brief / input source | Event name, date range, city, region, country, and venue | Medium for logistics; low for attendance and participation data |
| TKP Sapporo Station Conference Center | Venue reference | Venue naming and location consistency | High when cross-checked against venue records |
| ICBBE conference series description in supplied brief | Historical / descriptive input | Conference theme, likely audience, and market positioning | Medium; current-year participation not confirmed |
| Official organizer / event website | Not supplied in brief | Could verify organizer, agenda, speakers, and participation lists | Not verified here |
| Official attendee / exhibitor / speaker directory | Not supplied in brief | Would confirm current-year participants and buyer targets | Not verified here |
| Institutional websites for sample buyers | Organization websites | Buyer-side relevance and domain validation | High for organization identity; attendance not confirmed |
Note: Current-year official participant data was not available in the supplied brief. Where participant status could not be verified, companies and organizations are labeled as strong market fit rather than confirmed attendees.
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Tell us your work email and our AI instantly builds a buyer list matched to 2026 13th International Conference on Biomedical and Bioinformatics Engineering (ICBBE 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
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