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Special Session on
Semantically Powered Translational Medicine
 - SemPTMed 2020

24 - 26 February, 2020 - Valletta, Malta

Within the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC 2020


Radmila Juric
University of South East Norway
Brief Bio
Radmila Juric has long term interest in applying software technologies in biomedicine and healthcare delivery. She has led research on the role of semantic technologies in extracting and manipulating the meaning of data through semantic reasoning and applying it across numerous domains including biomedical semantics. Her current interest is in the synergy of semantic technologies, with learning and predictive algorithms, and ML in particular, enhanced with human involvements, for creating new modes of computational intelligence, which would come a step closer to human-like reasoning.


Translational medicine, aimed at bridging the gap between biomedical scientific knowledge and clinical practice has changed the way we use rapidly growing information from biomedical research and bring it closer to clinical practice. Software technologies play essential role in understanding and manipulating the meaning of biomedical data and translate it into semantic suitable for clinical practice. This special session focuses semantic technologies, plus predictive analytics/learning technologies which play an important role in collecting and understanding the semantic of biomedical knowledge and address problems in translational medicine.


1)    The applications of semantic and predictive technologies for drug discoveries, repurposing, drug-to-drug interactions and drug recommendation discoveries.

2)    Exploiting semantic predications, semantic matching and biomedical ontologies for inferring knowledge in translational medicine.

3)    Semantic matching of phenotypes and therapeutic targets,  clinical trials and patient eligibility criteria; relationship between genotypic, phenotypic and environmental knowledge.

4)    Learning and predictive technologies for creating meaningful insight into biomedical research data; Semantic classifiers and feature selections for ML in translational biomedicine.

5)    Deep learning meets semantic technologies and reasoning: applications in translational medicine, cheminformatics and pharmacology.


Paper Submission: December 19, 2019 (expired)
Authors Notification: January 9, 2020 (expired)
Camera Ready and Registration: January 17, 2020 (expired)


Available soon.


Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.


After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by DBLP, Web of Science / Conference Proceedings Citation Index, EI, SCOPUS, Microsoft Academic, Semantic Scholar and Google Scholar.
SCITEPRESS is a member of CrossRef ( and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library


BIOSTEC Special Sessions - SemPTMed 2020