posted by organizer: algarsi3 || 57 views || tracked by 1 users: [display]

CMLS 2025 : The 6th International Workshop on Conceptual Modeling for Life Sciences

FacebookTwitterLinkedInGoogle

Link: https://purl.org/cmls-2025
 
When Oct 20, 2025 - Oct 23, 2025
Where Poitiers, France
Submission Deadline Jun 27, 2025
Notification Due Jul 28, 2025
Final Version Due Aug 18, 2025
Categories    life sciences   artificial inteligence   conceptual modeling   ontologies
 

Call For Papers

****** CMLS 2025: The 6th International Workshop on Conceptual Modeling for Life Sciences ******

In conjunction with the 44th International Conference on Conceptual Modeling (ER2025) in Poitiers, France - October 20-23, 2025 (in-person conference)

************
************

Conference website
https://purl.org/cmls-2025

************
************

Submission deadline: June 27th, 2025


******Workshop focus******

The recent advances in unraveling the secrets of human conditions and diseases have encouraged new paradigms for their prevention, diagnosis, and treatment. As information is increasing at an unprecedented rate, it directly impacts the design and future development of information and data management pipelines; thus, new ways of processing data, information, and knowledge in healthcare environments are strongly needed.
The sixth edition of the workshop aims to continue being a meeting point for Information Systems (IS), Conceptual Modeling (CM), Data Management (DM), and Artificial Intelligence (AI) researchers working on health care and life science problems. It is also an opportunity to share, discuss, and find new approaches to improve promising fields, with a special focus on Genomic Data Management – how to use the information from the genome to better understand biological and clinical features – and Precision Medicine – giving to each patient an individualized treatment by understanding the peculiar aspects of the disease.
From the precise ontological characterization of the components involved in complex biological systems to the modeling of the operational processes and decision support methods used in the diagnosis and prevention of diseases, the joined research communities of IS, CM, DM, and AI have an important role to play; they must help in providing feasible solutions for high-quality and efficient health care. CMLS aims to become a forum for discussing the responsibility of the conceptual modeling community in supporting the life sciences related to these new realities.


******Topics of interest******

The sixth edition of the workshop focuses on Conceptual Modeling as a means for facing the challenges that emerge when designing and developing systems for life sciences, focused on genomics and precision medicine. The workshop is not restricted to specific research methods; we will consider both conceptual and empirical research, as well as novel applications.

The topics of interest include, but are not limited to:

- AI and life sciences
- Modeling approaches to One Health
- Large Language Models for improving precision medicine and decision-making
- Conceptual models for data-driven AI systems in life sciences Conceptual modeling for genomics
- Modeling of complex biological systems and health ecosystems
- Information systems for healthcare, genomics, or precision medicine
- Design, implementation, and evaluation of health information systems
- Life science-related domain-specific modeling languages
- Data management and integration for genomics and biology
- Ontologies and knowledge representation for life sciences
- Interoperability of clinical and biological data and health information systems
- Business process modeling for genetic/clinical diagnosis
- Conceptual model-driven big data analytics for genomics, clinical diagnosis, or biological problems
- Models for the digital transformation of healthcare systems
- Conceptual models in life sciences: from theory to practice
- Models to facilitate multidisciplinary exchange in healthcare contexts
- Pathogens-related conceptual models and their applications
- Models and information systems for fighting climate change and its effects on life science
- Reviews focusing on a relevant area of modeling in life sciences.


******Sumbission Guidelines******

CMLS 2025 proceedings will be part of the ER 2025 Workshop volume published by Springer. Submissions must conform to the Springer LNCS/LNBIP format. The page number for workshop papers is AT LEAST 10 pages. Papers must be submitted as PDF files using EasyChair at https://easychair.org/my/conference?conf=er2025, choosing the track "ER25 Workshop: 6th International Workshop on Conceptual Modeling for Life Sciences".

For details, see the workshop website and the page "https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines".


******Important Dates******

Full paper submissions: June 27th, 2025
Notification of acceptance: July 28th, 2025
Camera-ready and author registration: August 18th, 2025
Workshops: October 20th-23th, 2025


******Organizing Committee******

Alberto García S., Universitat Politècnica de València, Spain
Nelly Barret, Politecnico di Milano, Italy
Anna Bernasconi, Politecnico di Milano, Italy
José Reyes, Universitat Politècnica de València, Spain

Main contact: algarsi3@upv.edu.es

Related Resources

EDOC 2025   29th International Conference on Enterprise Design, Operations, and Computing
ER 2025   44th International Conference on Conceptual Modeling
SWJ-SWODCH 2025   SWJ Special Issue: Semantic Web and Ontology Design for Cultural Heritage
LSIJ 2025   Life Sciences: an International Journal
SEMAPRO 2025   The Nineteenth International Conference on Advances in Semantic Processing
ICMC 2025   The International Compact Modeling Conference
KEOD 2025   17th International Conference on Knowledge Engineering and Ontology Development
HUSO 2025   7th Canadian International Conference on Humanities & Social Sciences 2025
IEEE ICRAS 2025   IEEE--2025 9th International Conference on Robotics and Automation Sciences (ICRAS 2025)
FOIS 2025   15th International Conference on Formal Ontology in Information Systems