BIOKDD 2022

The 13^th International Workshop on Biological Knowledge Discovery from Big Data

email: dexa@iiwas.org
Papers submission: https://easychair.org/conferences/?conf=biokdd2022

  IMPORTANT DATES  

• Paper submission: March 7^th 2022.March 21^st 2022,April 4^th 2022,  April 14^th 2022 (SHARP)
• Notification of acceptance: May 10^th, 2022
• Camera-ready copies due: June 1^st, 2022
• Workshop days: August 22^nd - 24^th, 2022

 
PUBLICATION
All accepted BIOKDD 2022 papers will be published by Springer in their Communications in Computer and Information Science (CCIS). CCIS volumes are indexed in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science; Scopus; EI Engineering Index; Google Scholar; DBLP; etc. 

OBJECTIVES
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.

• 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

SUBMISSION GUIDELINES
Authors are invited to electronically submit original research contributions or experience reports in English. Submitted papers should not exceed 10 pages in Springer CCIS format. 
Formatting guidelines: http://www.dexa.org/formatting_guidelines
Online Papers Submission: https://easychair.org/conferences/?conf=biokdd2022

ACCEPTED PAPERS
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 DEXA2022 conference and present the paper at BIOKDD2022 workshop.