BioIntelli 2026: World Congress on Artificial Intelligence, Bioinformatics & Computational Biology November 19–20, 2026 | Tokyo, Japan
Conference Theme: AI-Driven Discoveries: Shaping the Future of Bioinformatics and Computational Biology
About BioIntelli 2026
BioIntelli 2026 – World Congress on Artificial Intelligence, Bioinformatics & Computational Biology is a premier global forum bringing together leading researchers, innovators, and industry experts in AI, bioinformatics, and computational biology. Scheduled for November 19–20, 2026 in Tokyo, Japan, this conference serves as a platform for presenting cutting-edge research, exploring emerging technologies, and fostering collaborations that drive the future of life sciences.
Under the theme “AI-Driven Discoveries: Shaping the Future of Bioinformatics and Computational Biology”, BioIntelli 2026 will showcase transformative applications of artificial intelligence in genomics, proteomics, systems biology, drug discovery, personalized medicine, and computational modeling. Participants will gain insights into how AI is revolutionizing biological research and healthcare solutions globally.
Key Focus Areas
BioIntelli 2026 will cover a wide spectrum of topics at the intersection of AI, bioinformatics, and computational biology, including:
Artificial Intelligence in Life Sciences
Genomics and Proteomics Analytics
Systems Biology & Computational Modeling
Drug Discovery & Personalized Medicine
Big Data & High-Throughput Analysis
Bioinformatics Tools & Platforms
Ethics & AI in Biology
Translational Research & Clinical Applications
Why Attend BioIntelli 2026?
Global Expertise: Learn from leading scientists, AI researchers, and industry pioneers. Cutting-Edge Research: Explore the latest advancements in bioinformatics, computational biology, and AI-driven life sciences.
Networking Opportunities: Connect with peers, potential collaborators, and thought leaders from academia, industry, and startups.
Innovation Showcase: Experience live demonstrations of AI-powered tools and computational platforms transforming biological research.
Conference Highlights
Keynote sessions by distinguished global researchers
Technical sessions covering AI, machine learning, and computational methods in life sciences
Hands-on workshops and tutorials for emerging bioinformatics technologies
Poster presentations and interactive networking forums
Publication opportunities in associated journals and conference proceedings
Important Dates
Abstract Submission Deadline: TBD
Early Bird Registration: TBD
Final Paper Submission: TBD
Conference Dates: November 19–20, 2026
Abstract Submission Guidelines
Abstracts must be submitted online through the conference portal.
Word Limit: 250–300 words
Format: Include title, authors, affiliation, email address, and 3–5 keywords
Notification of Acceptance: Within 10 working days after submission
All registered participants of Scientific Research Conferences 2026 will receive a Certificate of Attendance accredited with 10 CPD Credits
Registration Fee & Cancellation Policy: Upon confirmation of your participation, the registration fee is due to secure your slot. Please note that all payments are final and non-refundable. However, should you be unable to attend in person, you may transfer your registration to a colleague at no additional cost, or convert your participation to a virtual format to present remotely. Alternatively, your fee can be applied toward the publication of your article in the conference proceedings and associated journals, or held as a credit to be used for any of our future upcoming events.
Publication Opportunities
All accepted abstracts and full papers will be published in the Conference Proceedings. Selected high-quality papers will be recommended for publication in indexed international journals.
Venue – Tokyo, Japan
Tokyo, the capital of Japan, stands as one of the world’s foremost centers for technological advancement, research excellence, and digital innovation—making it a fitting venue for AI-DataX 2026. Globally recognized for its leadership in robotics, artificial intelligence, smart infrastructure, and advanced manufacturing, Tokyo offers an inspiring environment where tradition meets cutting-edge technology.
The city is home to leading multinational corporations such as Sony, SoftBank, Fujitsu, and Hitachi, along with a vibrant startup ecosystem and world-class research institutions. With its modern conference facilities, highly efficient public transportation system, exceptional safety standards, and global connectivity, Tokyo ensures a seamless and enriching experience for international delegates.
Beyond its technological landscape, Tokyo offers a unique cultural experience—from historic temples and serene gardens to futuristic districts and innovative architecture—providing attendees with both professional inspiration and cultural immersion during their visit.
Join BioIntelli 2026
Be part of the global movement driving AI-powered discoveries in bioinformatics and computational biology. BioIntelli 2026 offers unparalleled opportunities to:
- Present your research to an international audience.
- Gain insights into cutting-edge technologies and AI applications.
- Network with top scientists, innovators, and industry leaders.
- Collaborate on interdisciplinary projects that shape the future of life sciences.
Secure your spot today and contribute to the next wave of AI-driven biological breakthroughs!
Conference sessions
Browse the current session list for BioIntelli 2026: Converging AI, Bioinformatics, Computational Biology.
Translational Bioinformatics
Translational Bioinformatics applies computational and bioinformatics methods to convert biological and clinical data into practical medical knowledge, improving disease diagnosis, treatment, and personalized healthcare.
Protein Structure & Function Prediction
Protein Structure Prediction and Protein Function Prediction use computational methods and biological data to predict the three-dimensional structure and functions of proteins, supporting drug discovery and understanding of biological processes.
Biological Network Analysis
Biological Network Analysis studies the interactions and relationships among genes, proteins, and other biological components to understand complex biological processes and disease mechanisms.
Epidemiology & Disease Modeling
Epidemiology and Disease Modeling analyze the spread, causes, and impact of diseases using statistical and computational methods to support public health planning and prevention strategies.
Digital Health & Telemedicine
Digital Health and Telemedicine use digital technologies and online communication tools to deliver healthcare services, monitor patients, and improve access to medical care remotely.
AI Ethics in Life Sciences
AI Ethics in life sciences focuses on the responsible use of artificial intelligence in healthcare and biology, ensuring privacy, fairness, transparency, safety, and ethical decision-making in research and medical applications.
Synthetic Biology & Gene Editing
Synthetic Biology and Gene Editing involve designing and modifying biological systems and genetic material to improve healthcare, agriculture, and biotechnology applications.
Cloud & High-Performance Computing in Life Sciences
Cloud Computing and High-Performance Computing in life sciences provide powerful computing resources to store, process, and analyze large-scale biological and medical data efficiently for research and innovation.
Multi-omics Data Integration
Multi-omics data integration combines information from genomics, proteomics, transcriptomics, and other biological datasets to gain a comprehensive understanding of biological systems, diseases, and personalized medicine.
Precision Medicine
Precision Medicine is a medical approach that uses genetic, environmental, and lifestyle information to provide personalized disease prevention, diagnosis, and treatment for individual patients.
Medical Imaging & Diagnostics
Medical Imaging and Diagnostics involve the use of imaging technologies and analytical methods to detect, monitor, and diagnose diseases and medical conditions accurately and efficiently.
Medical Imaging & Diagnostics
Medical Imaging and Diagnostics involve the use of imaging technologies and analytical methods to detect, monitor, and diagnose diseases and medical conditions accurately and efficiently.
Drug Discovery & Computational Chemistry
Drug Discovery and Computational Chemistry use computational tools and chemical analysis to design, test, and develop new medicines by studying molecular structures, interactions, and biological effects.
Structural Bioinformatics
Structural Bioinformatics uses computational methods and data analysis to study the three-dimensional structure, function, and interactions of biological molecules such as proteins and nucleic acids.
Systems Biology
Systems Biology is the study of complex interactions within biological systems using computational and mathematical approaches to understand how cells, organs, and organisms function as integrated systems.
Biostatistics & Mathematical Biology
Biostatistics and Mathematical Biology use statistical and mathematical methods to analyze biological data, model living systems, and support research in healthcare, genetics, ecology, and disease prediction.
Data Science & Big Data in Biology
Data Science and Big Data in biology involve analyzing large and complex biological datasets to discover patterns, improve research, understand living systems, and support advancements in healthcare, genetics, and biotechnology
AI in Healthcare & Medicine
Artificial Intelligence in Healthcare uses artificial intelligence and data analysis to improve healthcare services by assisting in disease diagnosis, treatment planning, medical research, patient monitoring, and drug discovery.
Computational Biology
Computational Biology is an interdisciplinary field that uses computer science, mathematics, and data analysis to study biological systems, helping researchers understand genetics, diseases, evolution, and molecular processes
Artificial Intelligence & Machine Learning
Artificial Intelligence and Machine Learning are technologies that enable computers and machines to simulate human intelligence, learn from data, identify patterns, and make decisions or predictions with minimal human intervention.
Submit your abstract
Mail your abstract to biointelli@srcmeetings.com or submit it online using the form below.
Registration details
Registration windows, pricing categories, and key dates for this conference.
Select the active registration option to continue to the registration progress page.
Featured speakers
Keynote, session, and delegate speakers currently associated with this conference.
Purushottam Bung
Invited SpeakerEnterprising academic leader and professor with over 31 years of experience across academia and industry, specializing in higher education leadership. Expertise spans strategy, innovation, business analytics, financia...
Hirenkumar Dholariya
Invited SpeakerHirenkumar Dholariya is a Senior Data Engineering Architect with more than 18 years of experience supporting global Fortune 500 organizations. He specializes in data engineering, AI, automation, and cloud-based enterp...
Venugopal Rapelli
Invited SpeakerVenugopal Rapelli is a distinguished SAP BASIS and HANA Cloud Architect with more than 18 years of extensive experience in architecting, implementing, modernizing, and supporting enterprise-scale SAP landscapes for gl...
Chandra Kiran Yelagam
Invited SpeakerChandra Kiran Yelagam is a seasoned Senior Software Engineering Advisor with deep expertise in architecting and delivering enterprise-scale healthcare technology solutions. With a proven track record at Evernorth Cign...
Organizing committee members
Conference leadership and organizing contacts currently available in the system.
Isidoros Perikos
OCMChandra Kiran Yelagam is a seasoned Senior Software Engineering Advisor with deep expertise in architecting and delivering enterprise-scale healthcare technology solutions. With a proven track record at Evernorth Cign...
Silvia Gaftandzhieva
OCMChandra Kiran Yelagam is a seasoned Senior Software Engineering Advisor with deep expertise in architecting and delivering enterprise-scale healthcare technology solutions. With a proven track record at Evernorth Cign...
Margherita Mori
OCMChandra Kiran Yelagam is a seasoned Senior Software Engineering Advisor with deep expertise in architecting and delivering enterprise-scale healthcare technology solutions. With a proven track record at Evernorth Cign...
Ghulam Md Ashraf
OCMChandra Kiran Yelagam is a seasoned Senior Software Engineering Advisor with deep expertise in architecting and delivering enterprise-scale healthcare technology solutions. With a proven track record at Evernorth Cign...
Mahammad A Nurmammadov
OCMChandra Kiran Yelagam is a seasoned Senior Software Engineering Advisor with deep expertise in architecting and delivering enterprise-scale healthcare technology solutions. With a proven track record at Evernorth Cign...
Tokyo, Japan
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BioIntelli 2026: Converging AI Computational Biology and Engi
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