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Technological and Data-Driven Innovations in Cancer Care

IEEE 33rd International Symposium on  Computer Based Medical Systems (CBMS)

The worldwide incidence of cancer is gradually increasing, meanwhile the overall death rates from cancer continue to decline. These global trends have resulted in more people than ever living with or beyond cancer. As such, there is a greater necessity to improve and optimize cancer care services, throughout diagnosis, treatment, rehabilitation, and end-of-life care. Modern technologies, often enabled by the availability of big data and advanced analytics, have demonstrated potential to enhance the current quality of cancer care, for example by improving information access, informing clinical decision making and facilitating communications.

Pioneering research is now being conducted in the field of technology for cancer care, resulting in the development of novel solutions to a diverse spectrum of problems in this area. However, the process of evaluation of these innovations and how they operate within a ‘real-world’ context is at a less advanced stage. The clinical assessment of technology possesses many challenges and is influenced by numerous variables. As a result, there is an emphasis on the early evaluation of technology by including key stakeholders throughout its’ design and development.

Evidently, as researchers involved in the creation of novel technologies for cancer care, we must consider and share both the innovative concepts being developed, and also how they are being assessed and accepted in real-world or clinical situations. This track aims to address both these themes through six originals studies to be presented in the session.

 

This special track invites original research on innovative concepts, methods, tools and services that harness technology and big data to address challenges in the field of cancer care. Method of implementing these innovations in real-world settings will also be considered. Topics of interest include, but are not limited to:

  • Patient technologies for managing specific symptoms, impairments or conditions

  • Mobile self-management for people with cancer

  • Technologies supporting clinician-patient communication

  • Mobile technologies and social media

  • Biofeedback and rehabilitation technologies

  • Physical activity and lifestyle-change promotion using connected health

  • Privacy and security of digital personal health information

  • The use of social media by people with cancer

  • Multidisciplinary models and implementation research

All submissions in special sessions will be required to follow the 1-page abstract format and will not be included in the IEEE Xplore Conference Proceedings. However, authors interested in publishing their paper in the IEEE Xplore Conference Proceedings, may submit, in addition to their 1-page abstract, a 4-page paper, following the corresponding guidelines and deadline for full-length paper submission. Slightly different titles should be used for the two submissions.

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Deadlines

Paper Submission Deadline | Mar 10, 2020

Paper Notification | Mar 30, 2020

Paper Camera-Ready Paper Submission | Apr 15, 2020

Registration  | Apr 22, 2020

 

THIS TRACK IS A COMBINED EFFORT FROM

4 EU FUNDED PROJECTS

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DESIREE PROJECT

DESIREE aims to provide a web-based software ecosystem for the personalized, collaborative and multidisciplinary management of Primary Breast Cancer by specialized Breast Units, from diagnosis to therapy and follow-up.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 690238

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CATCH ITN

CATCH ITN, which is an EU Horizon 2020-funded PhD training network, with academic and industry partners across Ireland, Spain and Denmark. The research within CATCH focuses on the development and use of technology to improve the quality of life of individuals living with and beyond cancer.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement 
No. 722012

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BOUNCE PROJECT

BOUNCE proposes a holistic integrative and dynamic approach for investigating various heterogeneous but relevant biological, social, environmental, lifestyle, occupational, and socio-economic and psychosocial factors as they interact over time during the immediate cancer post-diagnosis period to account for individual fluctuations in resilience and eventually contribute to clinical outcomes and patient well-being.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 777167

MyPal

MyPal is a Horizon 2020 (H2020) Research & Innovation Action (RIA) aiming to foster palliative care for people with cancer by leveraging patient reported outcome (PRO) systems through their adaptation to the personal needs of the person with cancer and his/her caregiver(s).

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement 

No 825872

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Organizing Committee

Gabriel Signorelli

Marie-Curie Research Fellow and PhDresearcher at University College of Dublin, Ireland; Sports & Exercise Science Researcher at Oncoavanze, Seville, Spain.

With a master’s degree in Sports & Exercise Science, Gabriel worked in the fitness business for 10 years and was part of the developing and implementation team of BTFITapp, a Fitness App where his work was to specify the products and manage the user experience department. Gabriel is currently working on his PhD about how to improve Physical Activity Throughout Technologies in Cancer Patients to improve their Quality of Life.

Dr. Kiran Bastola

Associate Professor, School of Interdisciplinary Informatics, University of Nebraska.

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Dr. Bastola is a Charles and Marge Durham Associate Professor of Bioinformatics in the School of Interdisciplinary Informatics, College of Information Science and Technology at the University of Nebraska at Omaha. He holds a master's degree in Organinc Chemistry and a Ph.D. in Plant Biology. He earned his doctoral degree from The University of New Hampshire, Durham, NH. He is currently the associate director of Bioinformtics Core facility that supports a number of biomedical researchers. He is a member of the International Society of Computational Biology (ISCB) and Mitochondrial Society (MRS).

Dr. Bastola teaches both graduate and undergraduate courses in bioinformatics. His research interest in computational biology include gene regulation with nocoding RNA, mining for interesting patterns form genomic sequences for use in molecular diagnostics, public health, secondary metabolism and biology of mitochondria in disease as well as extreme environment.

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Scientific committee members:

  • Marias Kostas: Ph.D., Associate Professor of Image Processing, Department of Informatics Engineering, Technological Educational Institute of Crete Head of Computational BioMedicine Laboratory at FORTH-ICS.

  • Ivan Macia: Director eHealth & Biomedical Applications (Vicomtech), Head of eHealth Group (Biodonostia), Coordinator DESIREE H2020.

  • Luis Fernandez Luque: Ph.D., eHealth Researcher, Qatar Computing Research Institute, HBKU, Doha Qatar; Co-founder and eHealth Advisor, Salumedia, Seville, Spain.

  • Prof. Roma Maguire: Professor of Digital Health and Care, University of Strathclyde, UK.

  • Dr. Haridimos Kondylakis (M), Collaborating Researcher at Computational BioMedicine Laboratory (CBML), Institute of Computer Science, Foundation of Research & Technology-Hellas (FORTH).

SPECIAL SESSION

The 33rd IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS 2020) 

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IEEE CBMS 2020

Mayo Clinic, 200 First St. SW Rochester, MN 55905

22-24 June 2020

The 33rd IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS 2020) will be held at Mayo Clinic, Rochester, Minnesota, USA, from Monday 22th to Wednesday 24th of June 2020.

IMPORTANT DATES

Paper Submission Deadline | Mar 10, 2020

Paper Acceptance Notification | Mar 30, 2020

Camera-Ready Paper Submission | Apr 15, 2020

Author Registration | Apr 22, 2020

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©2018 Technological and Data-Driven Innovations in Cancer Care.