Call for Abstracts: Special Sessions on Cyberinfrastructure and Emerging Technologies in Biomedical Research
ISMB/ECCB 2025 | July 20–24, 2025 | Liverpool, United Kingdom
Sponsored by the National Institutes of Health (NIH)
We invite researchers to submit abstracts for the Special Sessions on Emerging Technologies in Biomedical Research at ISMB/ECCB 2025, a premier international conference in computational biology and bioinformatics. These sessions, sponsored by the National Institutes of Health (NIH), will explore cutting-edge advances in Quantum Computing, Generative AI & Cyberinfrastructure, and Biomedical Digital Twins, bringing together experts to discuss their transformative impact on biomedical research and healthcare.
Session 1: Quantum Computing in Biomedical Research
Quantum computing holds the potential to solve biomedical challenges that are computationally infeasible for classical systems, such as large-scale molecular simulations, complex optimization in systems biology, and AI-driven medical research. This session will highlight innovations at the intersection of quantum computing and biomedicine.
Topics of interest include (but are not limited to):
- Quantum algorithms for biomedical data analysis
- Quantum machine learning for omics, imaging, and clinical data
- Simulation of biomolecular dynamics using quantum platforms
- Quantum optimization in systems biology and personalized medicine
- Hybrid quantum-classical methods in translational research
- Applications of quantum computing in drug development pipelines
- Emerging software/hardware platforms for biomedical use cases
- Pilot studies, use cases, and benchmarks
- Interdisciplinary collaborations and infrastructure development
Session 2: Generative AI and Cyberinfrastructure for Biomedical Applications
Generative AI (GenAI) and modern cyberinfrastructure are revolutionizing biomedical research by enhancing data analysis, predictive modeling, and computational efficiency. This session will highlight breakthroughs in AI-driven biomedical research, high-performance computing, and scalable infrastructure solutions.
Topics of interest include (but are not limited to):
- Use of modular technologies to support data and analysis in the cloud such as the STRIDES program, the Research Auth Service (RAS), etc.
- GenAI for biological sequence design, drug discovery, and molecular modeling
- AI-powered clinical decision support and predictive analytics
- Scalable cyberinfrastructure for biomedical big data and cloud computing
- AI/ML-driven automation in bioinformatics workflows
- Interdisciplinary approaches to AI and cyberinfrastructure in health research
- Use cases showing the power of data and technology interoperability
Session 3: Biomedical Digital Twins
Biomedical digital twins are AI-powered, data-driven virtual representations of biological systems, enabling simulations for personalized medicine, disease modeling, and drug development. This session will explore the latest advancements in digital twin research and their biomedical applications.
Topics of interest include (but are not limited to):
- Multi-scale modeling and simulation of biological systems
- Integration of omics, imaging, and clinical data for digital twin development
- AI/ML approaches in digital twin design and validation
- Digital twins for personalized diagnostics, treatment planning, and disease progression modeling
- Digital twins in drug discovery, development, and clinical trials
- Case studies and real-world applications in healthcare and research
Submission Guidelines:
- Abstracts should be up to 500 words, clearly describing the motivation, methodology, key results, and anticipated impact.
- Submissions will be reviewed for scientific merit, innovation, and relevance.
- Selected abstracts will be invited for oral presentations during the sessions.
Key Dates:
- Abstract submission deadline: May 15, 2025
- Notification of acceptance: May 22, 2025
- Conference dates: July 20–24, 2025
We welcome submissions from interdisciplinary teams across academia, industry, and government. For inquiries and submissions, please contact OD-ISMB-SpecialTrack@nih.gov.