TECHNOLOGICAL AND DATA-DRIVEN INNOVATIONS IN CANCER CARE
Paper: Breast Density Classification using Local Septenary Patterns: A Multi-resolution and Multi-Topology Approach.
Authors: Andrik Rampun, Bryan Scotney, Philip Morrow and Hui Wang.
Paper: Privacy in Mobile Health Applications for Breast Cancer Patients.
Authors: Jaime Benjumea, Enrique Dorronzoro, Jorge Ropero, Octavio Rivera-Romero and Alejandro Carrasco.
Paper: Developing a Data Infrastructure for Enabling Breast Cancer Women to BOUNCE Back
Authors: Haridimos Kondylakis, Lefteris Koumakis, Dimitrios Katehakis, Angelina Kouroubali, Kostas Marias, Manolis Tsiknakis, Panagiotis Simos and Evangelos Karademas.
Paper: Breast Cancer Digital Patient Model to Capture and Visualize Real World Data.
Authors: Nekane Larburu, Monica Arrue, Iván Macía, Naiara Muro and Jon Kerexeta.
Prof. Brian Caulfield, Insight Centre for Data Analytics, University College Dublin, Ireland.
Naiara Muro Amuchastegui, Researcher at Vicomtech, PhD Researcher at Sorbonne University.
Poster: WORKFLOW MODULE FRONT END IN A ONCO APP
Authors: Diego Fiori de Carvalho, Jose Antonio Camacho-Guerrero, Andrey Omar Mozo Uscamayta, Heleno Murilo Campeão Vale, Luis Maldonado and Harley Francisco Oliveira.
Poster: Biofeedback in Breast Cancer Rehabilitation: Applying the WHO ICF Core Set to Identify Opportunities and Recommendations.
Authors: Louise Brennan, Enrique Dorronzoro Zubiete and Brian Caulfield.
THIS TRACK IS A COMBINED EFFORT FROM 4 EUROPEAN PROJECTS
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
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
THE ESMART PROJECT
The eSMART project aims to demonstrate benefits for cancer patients using a real-time, mobile phone based remote patient monitoring system, the Advanced Symptom Management System (ASyMS). It is anticipated to greatly improve patient outcomes and delivery of care both during and after chemotherapy treatment.
This project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement No 602289
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
32th IEEE CBMS International Symposium on Computer-Based Medical Systems
IEEE CBMS 2019
32th International Symposium on Computer-Based Medical Systems
IEEE CBMS 2019 will take place from Wednesday 5 to Friday 7th of June 2019, at IMIBIC (Instituto Maimónides de Investigación Biomédica de Córdoba) of Córdoba, Spain.
Paper submission: February 14, 2019
Notification of acceptance: March 31, 2019
Camera-ready due: April 18, 2019
Early registration deadline: April 18, 2019
Late registration deadline: May 9, 2019*
*Last date for attendants with a paper
CBMS 2019: June 5 – 7, 2019
NAIARA MURO AMUCHASTEGUI, VICOMTECH, SORBONNE UNIVERSITY.
Naiara received the MSc degree in Computational Engineering and Intelligent Systems from the University of the Basque Country UPV-EHU (Spain) in 2015 and the Bachelor’s Degree in Biomedical Engineering by the University of Navarre (Spain) in 2014. Naiara is currently a PhD candidate at the Sorbonne Université (Paris, France) since 2016 while working as a Researcher at the eHealth and Biomedical Applications department of Vicomtech (Spain). participate in the DESIREE project ( http://www.desiree-project.eu/ ), a European project funded by the H2020 framework. I also participate in other R & D projects. My research is focused on knowledge structuration and retrieval (e.g. from Electronic Health Records), augmentation of Clinical Practice Guidelines knowledge with experience, formalization of Computer Interpretable Guidelines and Decision Support Systems.
Luis Fernandez Luque, PhD, eHealth Researcher, Qatar Computing Research Institute, HBKU, Doha Qatar; Co-Founder and eHealth Advisor, Salumedia, Seville, Spain.
Ivan Macia, Director eHealth & Biomedical Applications (Vicomtech), Head of eHealth Group (Biodonostia), Coordinator DESIREE H2020.
Nekane Larburu, eHealth & Biomedical Applications (Vicomtech).
Paula Poikonen-Saksela, Lecturer in Helsinki University, Oncologist in Helsinki University Hospital.
Dr. Haridimos Kondylakis (M), Collaborating Researcher at Computational BioMedicine Laboratory (CBML), Institute of Computer Science, Foundation of Research & Technology-Hellas (FORTH).
Dimitrios Katehakis , Head of the Center for eHealth Applications and Services at FORTH-ICS.
Dr. Roma Maguire, Professor of Digital Health and Care in Computer and Information Sciences, University of Strathclyde, UK
Dr Liane Lewis, Research Associate in Computer and Information Sciences, University of Strathclyde, UK.
Dr Lisa McCann, Senior Lecturer in Computer and Information Sciences, University of Strathclyde, UK.
PROF. BRIAN CAULFIELD, INSIGHT CENTRE FOR DATA ANALYTICS, UNIVERSITY COLLEGE DUBLIN, IRELAND.
Brian is the primary coordinator of the CATCH programme.
Brian’s early research career centred on laboratory-based evaluation of human performance in health and sport, with a particular emphasis on understanding the neurophysiological contributions to repeated musculoskeletal injuries in sport. He has shifted his research focus from laboratory-based analysis towards the field, home and community where contextual relevance is significantly enhanced. This move has been enabled through development of cross-cutting collaborations with researchers in Computer Science and Biomedical Engineering across the globe, with a view to explore potential for development and validation of wearable and mobile sensing measurement/intervention applications that open up a new vista for human performance evaluation and enhancement across the spectrum from elite sport to chronic disease and ageing.
He is Dean of Physiotherapy at UCD, Director of the Insight Centre for Data Analytics and lead Principal Investigator with Ireland’s Connected Health Technology Centre, ARCH.