Engineering Sciences for Biology and Medicine: E-Health
- Submission Deadline : January 20, 2017 January 31, 2017
- Acceptance Notification: March 04, 2017
- Camera Ready: April 04, 2017
- Confernce Days: Mai 04 - 07, 2017
VenueDigital Research Center of Sfax – Technopole Sfax
Route de Tunis km 10, Sakiet Ezzit, 3021 Sfax, Tunisia
Building on the success of the two past editions of ESBM in 2013 and 2015, respectively under the principal topics of computational biology and genomics and Nanotechnology, the third edition will be organized on the strategic topics of Big Data in biology and medicine and E-health with wide cooperation and strong support of active academic and professional partners in the field . A final session will be dedicated to Biometry and forensics, a major concern in the security of nations in their battle against terrorism.
– Clinical Data Visualisation Standards
– Electronic medical records (EMR) and electronic prescription
– Federated Electronic Health Records
– Healthcare Information systems
– Data quality assessment and improvement
– Interoperability issues
– Evolutionary and longitudinal patient and disease models
– Computer-aided detection, hypothesis generation and diagnosis
– Big data analysis, prediction and prevention
– Smart health and Mobile computing
– Medical Image/video processing and computer vision
– Cognitive algorithms for healthcare handling dynamic context management
– Augmented reality, Motion detection and activity recognition
– Security, confidentiality & privacy issues
– In/on/around-body sensors and actuators
– Biosensors at the micro/nano-scale
– RFID and localization techniques
– Computing/storage infrastructures for e-Health
– Communication infrastructures, architectures and protocols for e-Health
– Body area networking and cloud-integrated networking
– Cognitive communication for medical bands
– IoT devices & architectures for Smart Healthcare
-E-Health services/applications for elderly people
-E-Health services/applications for public health
-E-Health services/applications for rural areas
-Security, privacy and trust for e-Health services/applications
– Nanomaterials, Nanotoxicity, DNA nanotechnology, Nanotechnology in Drug Discovery & Development,
– Novel Drug Delivery Systems
– Forensic sciences
– Designing and modeling of biological systems
– Statistical methods for biological and genomics data analysis
– Individual identification based on DNA technologies
– Genomics populations diversity
Sumi Helal, University of Florida, USA
Abdelsalam (Sumi) Helal is a senior Professor in the Computer & Information Science and Engineering Department at the University of Florida, and Director of the Mobile and Pervasive Computing Laboratory. He is co-founder and Director of the Gator Tech Smart House, a real-world deployment project that aims to identify key barriers and corresponding technological solutions to make the Smart Home concept a common place (creating the “Smart Home in a Box” concept). He has recently been awarded a Finland Distinguished Professorship - FiDiPro (2011-2014). His active areas of research focus on pervasive and ubiquitous systems and their human-centric applications. Specifically he and his research team investigate middleware, programming models, and architectural issues to define and support the entire lifecycle of smart spaces including city-scale deployments. More recently, he and his students have been exploring architectural and ecosystem issues surrounding the emerging IoT. Specifically, he is pursuing novel programming models and ecosystem enablers for the IoT. From 2001-2007, Professor Helal served as Director of Technology Development of the University of Florida Rehabilitation Engineering Research Center (RERC) on Aging and Independence. He is co-founder of the IEEE Pervasive Computing magazine and has served on its editorial board since 2002. He currently serves as the Editor-in-Chief of IEEE Computer, the Computer Society’s flagship and premier publication. He founded or co-founded three startups: Phoneomena, Inc. (2002-2007, mobile middleware company), Pervasa, Inc., (2006-2011, sensor and device integration middleware company) and Spaceify Oy (2015, smart space middleware company). He is inventor or co-inventor on 9 published US patents. Professor Helal is a Fellow of the IEEE.
A Perspective on Establishing Research and Educational Activities in Digital Health, Successful Aging and other Quality-of-Life AreasRecent advances in mobile and wearable technology as well as the Internet of Things (IoT) provide a glimpse into our future and reveal exciting visions of many “smarts”: smart homes, smart cities, workplaces, hotels, schools, hospitals, clinics, and much more. Driven by a technological revolution offering extremely low-power, wirelessly connected IoT, we can now envision and prototype impressive systems and applications to improve health, wellbeing, and quality of life, and to assist the elderly and the disabled.
Andy Bécue, University of Lausanne, Switzerland
Andy Bécue obtained his licence in chemistry in 2000 and his PhD in 2004 from the University of Namur (Belgium). In 2004, he did his post-doc at the École des Sciences Criminelles – University of Lausanne (Switzerland), funded by the Swiss National Fund (SNF #200021-105580). He was a lecturer from 2005 to 2009, was an Ambizione fellow from 2009 to 2013 (SNF #PZ00P2_121907 and PZ00P2_139952), and is currently a tenure-track assistant professor at the ESC/UNIL. His research interests are focused on the detection of traces/marks of forensic interest (e.g., fingermarks, body fluids) to improve the detection capability of investigators in the field.
Nanoparticles for Fingermark Detection: A Look Through the Looking-Glass
Fingermark detection is one of the most important research fields in forensic science, mostly due to the critical role played by fingerprints in criminal investigations. More particularly, the development of new and efficient detection techniques remains a matter of primary interest for forensic practitioners/scientists and for a range of skilled scientists (e.g., chemistry, biology, material science). This interdisciplinary interest for the field recently led to an increasing number of publications referring to high-end technological means to detect fingermarks, among which the use of functionalized nanoparticles. Still considered as an emerging field from a forensic point of view, nanoparticles nevertheless currently represent a prevailing research topic in terms of publications linked to fingermarks. The aim of this talk is to propose a critical overview of the use of nanoparticles to detect fingermarks, especially because technological promises are not always tuned with forensic needs. This talk aims at providing a reasoned review to help sharing a common view and conducting efficient joint research.
Philippe Cinquin, University Joseph Fourier, France
Philippe Cinquin, 60, is Professor of Medical Informatics at Grenoble (France). He heads TIMC-IMAG, UMR5525, a Research Unit of CNRS and of Univ. Grenoble Alpes, and co-heads CIC-IT 1406 (Centre of Clinical Investigation – Technological Innovation) of INSERM and Grenoble’s University Hospital. He holds a PhD in Applied Mathematics and is a Medical Doctor. In 1984, he launched a research team on Computer-Assisted Medical Interventions (CAMI), which led to innovative surgical practice, benefiting to more than 100 000 patients, thanks to the creation of several startup companies. He recently turned on intra-body energy scavenging in order to power implanted medical devices. Dr. Cinquin was the recipient of the 1999 Maurice E. Muller Award for excellence in computer-assisted orthopedic surgery, of the 2003 CNRS Silver Award, of the 2013 CNRS Innovation Award, and of the 2014 Ambroise Paré Award of the French Academy of Surgery. He was finalist for the 2014 European Inventor Award for a Glucose BioFuel Cell capable to power implanted medical devices.
Innovation in Implantable Medical Devices: towards symbiotic robots?
Implantable Medical Devices extend surgeon’s action, allowing compensation of failing vital functions. They implement the classical robotic loop: “Perception – Decision – Action”. We will illustrate the interest of this loop in CAMI (Computer Assisted Medical Interventions). This is the ground on which surgical navigation systems or surgical robots were designed, leading to the creation of more than 10 startup companies that commercialized devices used on hundreds of thousands of patients. The specificities of innovation in medical devices will be discussed on instances from this domain. We will then see how this experience led to the design of implantable robots, which are autonomous not only to take decisions, but also to scavenge their energy from the glucose that is naturally present in the physiological fluids. We will conclude on the possible emergence of a new family of Implantable Medical Devices, symbiotic robots.
Pietro Giuseppe Gucciardi, IPCF-CNR, Italy
Pietro Giuseppe Gucciardi is a senior researcher and coordinator of the Spectroscopy, Imaging and Trapping Group at the Institute for the Chemical and Physical Processes, National Research Council (IPCF-CNR), Messina, Italy. His main research interests are in the field of near-field optics and plasmon-enhanced spectroscopies (SERS/TERS). His research includes the combination of optical tweezers with Raman/SERS spectroscopy for the analysis of individual nanostructures and the development of advanced nanobiosensors.
Detection and functional characterization of biomolecules by Plasmon-Enhanced Raman Spectroscopy
Adnane Abdelghani, University of Carthage, Tunisia
Prof.Dr.A.Abdelghani is a Full Professor at the National Institute of Applied Science and Technology (INSAT, Tunisia) working mainly in the field of Microsensors and Microsystems. He obtained the Habilitation in Physics in Tunisia (faculty of Science of Tunis) in 2004 and a Habilitation (worlwide recognition for conducting and leading research) in "Sciences pour l’Ingénieur" in 2009 at the Ecole Normale Supérieur de Cachan (France). He is now the leader and principal investigator of a research group working mainly on gas sensors based on functionalized carbon nanotubes (metallic oxides, nanowires, nanoneedles, polymers) and on the development of interdigitated gold microelectrodes integrated in microfluidic cell for bacteria analysis in biologic medium. He published more than 90 papers in International Journals (H-index 24, December 2016) and supervised more than 12 Ph.D theses and 30 master’s student. He is deeply involved in industrial applications in his field of research with implications for the design and the development of affordable and cost-effective sensing devices for diagnostics and theranostics which will have an effective impact in the developing countries. He received the Tunisian President Award of the “best scientific researcher” in Tunisia in 22 July 2015.
Nanotechnology and New ideas of Start-Up in Developing Countries
We present an approach for the use of devices for analyte (pesticides, bacteria, heavy ions, C-Reactive Protein, neurotoxin gaz,v apors, etc..) detection for different applications (food analysis, water analysis, medical diagnostic, security, environment, etc..). Most of the analyze detection systems used are time consuming, enable remote sensing and need different steps of preparation. The development of new devices needs laboratory experiment for stability, rapidity and reproducibility studies. We will show the need of the market and the applications for such devices in biotechnology, medicine and security and namely for developing countries.
Matthew Blaschko, KU Leuven, Belgium
Matthew B. Blaschko received the B.S. degree from Columbia University and the M.S. degree from the University of Massachusetts Amherst. He also received the Doctorate in electrical engineering and computer science (summa cum laude) from the Technische Universität Berlin for work done at the Max Planck Institute for Biological Cybernetics, Tübingen, Germany. Subsequently, he was a Newton International Fellow in the Department of Engineering Science, University of Oxford and received the Habilitation from the Ecole Normale Supérieure de Cachan, France. Prior to joining KU Leuven, he was a Permanent Research Scientist in the INRIA Saclay Research Center and a Faculty Member at Ecole Centrale Paris. From 2015 he is a Professor in the department of Electrical Engineering at KU Leuven,
His research interests include machine learning techniques applied to visual data. Prof. Blaschko has been guest editor of a special issue in the International Journal of Computer Vision and an area chair for top venues in computer vision and machine learning including Neural Information Processing Systems (NIPS), Artificial Intelligence and Statistics (AISTATS), and the British Machine Vision Conference (BMVC). He received the Main Prize of the German Association for Pattern Recognition and Best Paper Awards at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) and European Conference on Computer Vision (ECCV).
Deep learning in medical image analysis: Opportunities and constraints
have come from domains in which large amounts of training data are readily available, such as photographs collected through social media
and image sharing websites. The advantages of deep learning are less apparent when the amount of training data are small, such as is inherently the case with medical data due to (i) rare diseases, (ii) the high expense of medical image acquisition, and (iii) regulatory restrictions in compiling data from multiple sites and jurisdictions. In this talk, I will demonstrate several successful applications of deep learning in the medical domain, and highlight strategies and mathematical advances that help to extend the benefits of deep learning within the fundamental constraints of our problem domain.