[CIBB 2026] Call for short papers - Special session on machine learning

[davide...@gmail.com]

Dear all,

The organizational machine for the CIBB 2026 conference has been set in motion.
The 21st International Conference on Computational Intelligence
Methods in Bioinformatics and Biostatistics (CIBB 2026) will happen in
Rome (Italy, EU) in 2nd-4th September 2026:
https://cibb2026.teralab.ai/

The deadline for short paper submission is 3rd May 2026.

Please see the details below.

-- Davide Chicco

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CIBB 2026: CALL FOR SHORT PAPERS
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Short paper submission deadline: May 3, 2026

Dear CIBB Enthusiasts and Newcomers,

The 21st edition of the International Conference on Computational
Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2026)
will take place at Sapienza University of Rome, Italy, EU, from 2 to 4
September 2026.

CIBB 2026 continues its tradition as an international, multidisciplinary
forum focused on advanced computational techniques for bioinformatics,
biostatistics, and medical informatics.
We invite researchers from academia and industry to submit original short papers
and contribute to a vibrant interdisciplinary scientific exchange.

We look forward to welcoming you to Rome for what we envision as a
particularly dynamic and internationally engaged edition of CIBB.

Best regards,
CIBB 2026 General Chairs

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[Special session on Machine Learning for Structured Data in Clinical
Informatics and Medical Biology]

Machine learning has become a pivotal tool for analyzing biomedical
and biological datasets, especially in the era of Big Data. Machine
learning algorithms can uncover hidden relationships and structures
within healthcare data and leverage them to make accurate predictions
about similar or future data instances. For example, machine learning
software has successfully predicted cancer diagnoses by analyzing
patients' clinical features, enabling scientists to save time and
resources compared to traditional wet-lab experiments. Computational
researchers have also applied machine learning to infer knowledge
about patients by analyzing biological datasets, particularly those
involving genetic and epigenomic traits. Data mining approaches
applied to such datasets can lead to significant discoveries,
deepening our understanding of molecular biology and providing new
insights into patients’ diseases.

Moreover, recent advancements in this field anticipate the integration
of clinical knowledge (represented in various forms such as medical
protocols) into machine learning algorithms. By defining methods to
incorporate and inject such knowledge, it becomes possible to harness
the strengths of both knowledge-based and data-driven approaches.


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CIBB 2026 – 21st International Conference on Computational Intelligence
Methods for Bioinformatics and Biostatistics
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Dates: September 2-4, 2026
Location: Sapienza University of Rome, Rome, Italy
Website: https://cibb2026.teralab.ai
Contact: cibb...@uniroma1.it


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IMPORTANT DATES
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Short paper submission deadline: May 3, 2026
Notification: June 15, 2026
Camera-ready deadline: July 7, 2026

Submission platform (EasyChair):
https://easychair.org/conferences/?conf=cibb2026


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ABOUT THE CONFERENCE
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CIBB is an international, multidisciplinary conference dedicated to
the application of computational intelligence and artificial intelligence
techniques to complex problems in bioinformatics, biostatistics, and
medical informatics.

The conference fosters interaction between computer science and life
sciences, promoting interdisciplinary collaboration and contributions
that address emerging trends and future directions in data-driven
biomedical research, systems and synthetic biology, omics sciences,
and complex biomedical data analysis.


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PAPER SUBMISSION AND PUBLICATION
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Submission Guidelines

Authors are invited to submit original short papers (4-6 pages).
Submissions will be handled through the EasyChair platform.
Detailed submission instructions, templates, and formatting
guidelines are available on the official CIBB 2026 website.

All submissions will undergo a double-blind peer review process.
Authors must ensure that their manuscripts do not include
information that could reveal their identities.

For specific topics of interest, please refer to the Topics page
on the official conference website.


Main Tracks and Special Sessions

CIBB 2026 is organized around three main tracks:

- Bioinformatics
- Biostatistics
- Medical Informatics

In addition, the conference will feature Special Sessions dedicated
to emerging and specialized topics. The complete list of Special
Sessions is available here.


Publication Opportunities

All accepted papers presented at the conference will be invited to
submit extended versions either to the Springer Lecture Notes in
Bioinformatics (LNBI) series or to selected high-impact journals.
Further details on partner journals will be announced on the
conference website.

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CONFIRMED INVITED SPEAKERS
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We are pleased to announce the following confirmed invited speakers:

- Per Kragh Andersen
Full Professor of Biostatistics
University of Copenhagen, Denmark

- Marianna Rapsomaniki
AI/ML for Biomedicine Group Leader
Lausanne University Hospital (CHUV), Switzerland

Additional invited speakers will be announced in the coming months.
Updates will be available on the conference website.

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ORGANIZATION
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GENERAL CHAIRS

Marta Cipriani, Sapienza University of Rome
Roberta De Vito, Sapienza University of Rome
Lorenzo Di Rocco, Sapienza University of Rome
Umberto Ferraro Petrillo, Sapienza University of Rome


MAIN TRACK CHAIRS

Bioinformatics:
Filippo Utro, IBM T. J. Watson Research Center

Biostatistics:
Nina Deliu, Sapienza University of Rome

Medical Informatics:
Joao Bettencourt, IBM Research Europe
Natasha Mulligan, IBM Research Europe


STEERING COMMITTEE

Roberto Tagliaferri, Università di Salerno, Italy
Davide Chicco, Università di Milano-Bicocca, Italy
Francesco Masulli, Università di Genova, Italy
Elia Biganzoli, Università Statale di Milano, Italy
Clelia Di Serio, Università Vita-Salute San Raffaele, Italy
Marco Masseroli, Politecnico di Milano, Italy
Pierre Baldi, University of California, Irvine, USA
Alexandru Floares, Solutions of Artificial Intelligence Applications
Institute, Romania
Jon Garibaldi, University of Nottingham, England
Nikola Kasabov, Auckland University of Technology, New Zealand
Leif Peterson, Rice University, USA

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Davide Chicco
Università di Milano-Bicocca
& University of Toronto
email: davide...@gmail.com
web: http://www.DavideChicco.it
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