<!DOCTYPE html>
<html data-lt-installed="true">
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>
<body style="padding-bottom: 1px;">
<p>****** CMLS 2024: The 5th International Workshop on Conceptual
Modeling for Life Sciences ******<br>
<br>
In conjunction with the 42nd International Conference on
Conceptual Modeling (ER 2024) in Pittsburgh, USA - October 28-31,
2024 (in-person conference)<br>
<br>
************<br>
************<br>
<br>
Conference website<br>
<a class="moz-txt-link-freetext"
href="https://deib-geco.github.io/cmls2024/"
moz-do-not-send="true">https://deib-geco.github.io/cmls2024/</a><br>
<br>
************<br>
************<br>
<br>
Submission deadline: July 27th, 2024<br>
<br>
******Workshop focus******<br>
<br>
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.<br>
This 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
each patient an individualized treatment by understanding the
peculiar aspects of the disease.<br>
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.<br>
<br>
******Topics of interest******<br>
<br>
The fifth 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, and it is 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.<br>
<br>
The topics of interest include, but are not limited to:<br>
<br>
- AI and life sciences<br>
- Large Language Models for improving precision medicine and
decision-making<br>
- Conceptual models for data-driven AI systems in life sciences
Conceptual modeling for genomics<br>
- Modeling of complex biological systems and health ecosystems<br>
- Information systems for healthcare, genomics, or medicine of
precision<br>
- Design, implementation, and evaluation of health information
systems<br>
- Electronic/digital health information systems<br>
- Life science-related domain-specific modeling languages<br>
- Data management and integration for genomics and biology<br>
- Ontologies and workflows for life sciences<br>
- Clinical and biological data interoperability<br>
- Interoperability of health information systems<br>
- Knowledge representation for genetics<br>
- Business process modeling for genetic/clinical diagnosis<br>
- Conceptual model-driven big data analytics for genomics,
clinical diagnosis, or biological problems<br>
- Models for the digital transformation of healthcare systems<br>
- Conceptual models in life sciences: from theory to practice<br>
- Models to facilitate multidisciplinary exchange in healthcare
contexts<br>
- Virology-related conceptual models and their applications<br>
- Conceptual models and information systems for fighting climate
change and its effects on life science<br>
- Reviews focusing on particular life science dimensions.<br>
<br>
******Proceedings******<br>
<br>
CMLS 2024 proceedings will be part of the ER 2024 Workshop volume.
The authors must submit manuscripts using the Springer-Verlag LNCS
style for Lecture Notes in Computer Science. For style files and
details, see the page <a class="moz-txt-link-freetext"
href="https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines"
moz-do-not-send="true">https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines</a>.<br>
<br>
The workshop accepts full papers of 10 pages. Papers must be
submitted as PDF files using EasyChair at <a
class="moz-txt-link-freetext"
href="https://easychair.org/conferences/?conf=er2024"
moz-do-not-send="true">https://easychair.org/conferences/?conf=er2024</a>
(track: Workshop on Conceptual Modeling for Life Sciences).<br>
<br>
******Important Dates******<br>
<br>
Abstract submission: July 13th, 2024 (OPTIONAL)<br>
Paper submission: July 27th, 2024<br>
Notification: August 11th, 2024<br>
Camera-ready version: August 30th, 2024<br>
ER Conference dates: October 28th-31st, 2024<br>
<br>
******Organizing Committee******<br>
<br>
Alberto García S., Universitat Politècnica de València, Spain<br>
Anna Bernasconi, Politecnico di Milano, Italy<br>
José Fabián Reyes Román, Universitat Politècnica de València,
Spain<br>
Edelweis Rohrer, Universidad de la República, Uruguay<br>
<br>
Main contact: <a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:algarsi3@pros.upv.es" moz-do-not-send="true">algarsi3@pros.upv.es</a>
<br>
</p>
<pre class="moz-signature" cols="72">--
José F. Reyes Román (<a
class="moz-txt-link-abbreviated moz-txt-link-freetext"
href="mailto:jreyes@pros.upv.es" moz-do-not-send="true">jreyes@pros.upv.es</a>)
Postdoctoral Researcher and PMO
PROS Research Center @VRAIN
Universitat Politècnica de València
Camí de Vera, s/n. 46022 - València, Spain.
Telf: +34 96 387 7007 Ext. 83501</pre>
<lt-container></lt-container>
</body>
</html>