The First CATBIO Workshop
Comparative and Translational Bioinformatics:
AI-Driven Insights Across Species
Embedded Files
at Bioinformatics & Biomedicine Conference 2026 (BIBM 2026)
December 1-4 2026, Dallas, USA
Track on Comparative and Translational Bioinformatics: AI-Driven Insights Across Species (CATBIO)
The rapid advancement of artificial intelligence and large-scale clinical data integration have dramatically accelerated the pace of biomedical discovery. Yet, a critical bottleneck remains: the vast wealth of biological and clinical knowledge embedded in veterinary medicine has been largely underutilized in the development of human disease models and diagnostic AI. Comparative and translational bioinformatics (the systematic study of biological information spanning veterinary and human medicine) has emerged as a critical discipline for accelerating disease understanding and clinical translation. However, the veterinary and human biomedical informatics communities have historically operated in silos, despite their profound biological and clinical overlap, limiting the full realization of cross-species translational potential.
Animal species, including companion animals, livestock, and wildlife, naturally develop diseases that are genetically, pathologically, and clinically analogous to human conditions, including cancer, neurodegeneration, and metabolic disorders. Unlike traditional laboratory animal models, these spontaneous disease models offer rich, real-world biological complexity that can profoundly inform human medicine. Furthermore, the integration of neural signal processing across veterinary and human clinical settings opens new avenues for translational diagnostics and comparative neurology research. Nevertheless, the computational frameworks and AI methodologies required to bridge veterinary and human biomedical data, spanning multi-modal AI, cross-species disease modeling, and clinical data interoperability, remain underdeveloped and fragmented.
CATBIO 2026 aims to directly confront these challenges by bringing together researchers from bioinformatics, veterinary medicine, human medicine, and AI to explore novel computational approaches that leverage cross-species data for translational discovery. By fostering interdisciplinary dialogue and catalyzing synergy between two historically disconnected communities, CATBIO 2026 will serve as a dedicated forum for advancing the next generation of comparative bioinformatics methods and accelerating their translation into clinically impactful solutions for both animal and human health.
Important Dates
Paper Submission: Sep. 27, 2026
Author Notification: Oct. 18, 2026
Camera-Ready: Nov. 8, 2026
Conference Dates: Dec. 1 - 4, 2026
Research Topics
1. AI & Machine Learning for Translational Research
Transfer learning and domain adaptation from animal to human datasets
Foundation models and LLMs for cross-species clinical NLP
Multi-modal AI integrating imaging, omics, and EHR data across species
2. Neural Signal Processing for Comparative Clinical Applications
Cross-species neural and biosignal analysis (e.g., EEG, ECG, EMG) for translational diagnostics
Comparative neurology: animal models informing human neurological disorder research
AI-driven neural monitoring systems for real-time comparative health assessment
3. Disease Modeling & Animal Models
Computational validation of animal models for human disease
Comparative oncology: shared tumor biomarkers and therapeutic targets
Neurodegenerative and metabolic disease modeling across species
4. Clinical Data Integration & Interoperability
Semantic integration of veterinary EHR and human EHR
Standardization of cross-species clinical ontologies (SNOMED CT, VeNom)
Real-world evidence generation from comparative clinical databases
Workshop style & Activity
Full Onsite: CATBIO 2026 will be held fully onsite at IEEE BIBM 2026, Dallas, TX, USA.
Upon acceptance, we will establish a dedicated CATBIO workshop webpage linked to the IEEE BIBM 2026 official website, providing submission guidelines, key dates, and program committee information. The workshop will be actively promoted through bioinformatics and veterinary/human medicine mailing lists, IEEE community boards, and relevant social media networks. Oral and poster sessions will be organized by thematic areas to facilitate focused discussions and networking. All activities will strictly adhere to IEEE BIBM guidelines for workshop organization, peer review, and dissemination of accepted contributions.
Information for Program Chairs
Program Co-Chair: Prof. Dr. Ji-Hoon (Tony) Jeong
1) Department of Medical Device Management & Research, SAIHST, Sungkyunkwan University, Republic of Korea 2) Research Institute for Future Medicine, Samsung Medical Center, Republic of Korea
Research Area: Medical artificial intelligence, Brain-computer interface, Multi-modal learning
Program Co-Chair: Prof. Dr. Euijong Lee
1) School of Computer Science, Chungbuk National University, Republic of Korea
2) Vet-ICT Convergence Education and Research Center, Chungbuk National University, Republic of Korea.
Research Area: Veterinary medical artificial intelligence, Explainable machine learning, software engineering
Information for Program Committee Members
Program Committee:
DVM, MPH, Prof. Dr. Kyung-Duk Min
College of Veterinary Medicine, Chungbuk National University, Republic of Korea
DVM, DKCVMI, Prof. Dr. Namsoon Lee
Department of Veterinary Medical Imaging, College of Veterinary Medicine, Chungbuk National University
Prof. Dr. Tae-Eui Kam
Department of Artificial Intelligence, Korea University, Republic of Korea
MD. Prof. Tae-Se Kim
Division of Gastroenterology, Department of Medicine, Samsung Medical Center
MD. Prof. Junsu Choe
Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center
Sponsor
Supported by: Merged Talent Training for Veterinary Medicine & ICT and Development of Leading Technology for Digital Healthcare
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