The 14th International Workshop on Biological Knowledge Discovery from Big Data

>> Virtual presentation is possible <<



  • Paper submission: 10 May 2023 (SHARP - FINAL)
  • Notification of acceptance: 20 May 2023
  • Camera-ready copies due: 15 June 2023
  • Conference days:  28-30 August 2023​

All accepted BIOKDD 2023 papers will be published by Springer in their Communications in Computer and Information Science (CCIS). CCIS volumes are indexed in Scopus; EI Engineering Index; Google Scholar; DBLP; etc. and submitted for indexing in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science.

The workshop "Biomedical Knowledge Discovery from Big Data (BIOKDD)" deals with the dichotomy of potentials and threats of machine learning for biomedical data analysis. There is an ongoing trend to generate and exploit medical data from a variety of distributed sources to achieve high quality personalized healthcare, thereby yielding new challenges regarding domain shift, data quality, privacy security and trust threats.
We want to bring together researchers from machine learning, biomedical data analysis, bioinformatics and information security to discuss recent developments, best practices and use cases from ongoing research projects. We especially encourage undergraduate and graduate students to submit their current research findings.

Topics of BIOKDD2023 workshop includes, but not limited to:
  • Biomedical image analysis (segmentation, classification, registration)
  • Trustworthy and explainable AI for biomedical data
  • Relational Machine Learning in the context of personalized medicine/biomedical data analysis, such as molecular interaction networks or cellular networks
  • Integration of personal medical data from multiple sources towards personalized medicine, including novel metrics for multi-modal data set matching
  • Integration of multi-modal biomedical data such as OMICs, imaging, time-lapse, time series or imaging data
  • Tackling Domain Shift challenges e.g., due to different life or genomic conditions, imbalance of different subpopulations, data quality, invitro vs. in vivo vs. in silico
  • Privacy preserving machine learning
  • Federated learning
  • Security and protection of shared personal medical data

Authors are invited to electronically submit original research contributions or experience reports in English. In order to encourage participation and discussion, this workshop solicits two types of submissions: 
•  Regular paper submissions about original work not exceeding 10 pages.
•  Short paper submissions on recent or ongoing work on relevant topics and ideas not exceeding 5 pages.

Papers submission will be managed using EquinOCS Springer Nature Conference Proceedings Submission System.
Authors should consult Springer’s authors’ instructions ( and use the proceedings templates, either for LaTeX or for Word, for the preparation of their papers. 
Once you click on the submission link (, you will be guided to the EquinOCS Login page, which will be open in your browser. Click on the button “Submit now”. This will guide you directly to the paper submission process. If you already have an account at EquinOCS you will be asked to Login. After Login you will be guided to the start page where you can start with your submission. If you yet do not have an account at EquinOCS, please follow the registration process. Once your Account has been created an email will be sent to the address you have stated in the registration process. Please follow the instructions in this mail to activate your account and start your submission.
Please refer to EquinOCS user guide ( for more information.

All accepted papers will be published by Springer in "Communications in Computer and Information Science (CCIS).  Authors of all accepted papers must sign a Springer copyright release form. At least one of the authors of an accepted paper must register to DEXA2023 conference and present the paper at BIOKDD2023 workshop.

Program Committee Chair
• Malik Yousef, Zefat Academic College, Israel
Program Committee Members
• Loai Abdallah, Yezreel Valley Academic College, Emek Yezreel,  Israel
• Jamal Al Qundus, Middle East University, Jordan
• Jens Allmer, Medical Informatics and Bioinformatics, Hochschule Ruhr-West, University of Applied Sciences, Germany
• Burcu Bakir-Gungor, Abdullah Gul University, Turkey
• Rashid Jayousi, Al-Quds University, Palestine
• Khalid Raza, Jamia Millia Islamia (Central University), New Delhi, India
• Rabeb Touati, University of Tunis El Manar, Faculty of Medicine of Tunis (FMT), Tunisia
For further enquiries please contact (