BoostUrCAreer Doctoriales 2021

  • Research
Published on May 30, 2022 Updated on April 19, 2023
Dates

on the April 21, 2021

Location

Online

BUC21
BUC21

The BoostUrCAreer Doctoriales 2021 are over. Thank you to all of our speakers and attendees for making this event a success. See you next year!

As part of the BoostUrCAreer project, implemented at Université Côte d’Azur with support from the European Commission, the Conseil Region Sud-Provence-Alpes-Côte d’Azur, and IDEX UCAJEDI, we are delighted to announce our 2021 Doctoriales event. This event is a full-day virtual program targeting an audience of graduate students, researchers, and professionals, with the goal of sharing ideas and fostering discussions around the topic of E-Health, with a focus on applying data science to further healthcare delivery and medical research.
Platform

We will be using Gather Town as a platform for our event. It is a web-based video calling experience that mimics in-person interactions in a physical space. It combines video-calling with a 2D map, letting you walk around with your avatar and talk to other people next to you. Feel free to try out the demo, on https://gather.town/, to get accommodated with the platform.

sample_gathertown2
sample_gathertown2

Please click here to read the tutorial for participants: Participant tutorial
 
Agenda

BoostUrCAreer Doctoriales 2021 Agenda
April 21st 2021
All times written in CET (UTC+2)

Morning Sessions
  •              08:50 - 09:00  Welcome
  •              09:00 - 10:30 Technologies Impacting the Delivery of Healthcare
                 Alessia Paglialonga, CNR, National Research Council, Italy
                 Frank Delaplace, Paris-Saclay University, Univ. Evry - IBISC, France
                 Khan Muhammad, Sejong University, South Korea
Digital and communications technologies represent a major change in the way we interact with the healthcare system, with the use of telemedicine as a tool to connect patients to providers increasing in response to the ongoing pandemic. Virtual office visits, however, are far from the only mark being made on the delivery of care. Tools for online diagnosis, transmission of imaging data in the Internet of Medical Things, and personalized medicine can all leverage the potential of new technologies to advance the medical system. Join us to learn from our expert speakers about how their research promises to shape the future of patient care in a more efficient, accessible direction.
 
  •             10:30 - 12:00 Modeling Human Bodies: Physiology and Form
                 Pauline Gerus, Université Côte d'Azur - LAMHESS, France
                 Anna Maria Bianchi, Université Côte d'Azur - LJAD, France
                 Thomas Laporte, Politecnico di Milano, Italy
The complexity of the interconnected systems that is the human body is what gives medicine and adjacent health-related fields their richness, while simultaneously rendering their study a complicated proposition. Fortunately, modern techniques allow investigators to capture key features of the body's complexity through mathematical and numerical models, opening the door to insights about the underlying physiology and disease processes. The information encoded in medical imaging and recording techniques, with the right know-how, can be transformed into representations of the anatomic and physiologic underpinnings of human bodies and their pathologic states. Join us to learn how our panel of researchers use models to shed light on the inner workings of our bodies.

Afternoon Sessions
  •             13:00 - 15:00 Physics of Life
                 Ville Mustonen, University of Helsinki, Finland
                 Vijay Kumar Krishnamurthy, International Centre for Theoretical Sciences, Bangalore, India
                 Joachim Krug, Institute for Biological Physics, University of Cologne, Germany
                 Marco Caruso, Politecnico di Torino, Italy
The physics of living organisms is a field that spans a broad range of contexts. Interpretation of biological data in the context of a physics-based understanding of the system is a challenge, but is fundamental to advancing our knowledge in these domains. From understanding bacterial antibiotic resistance enzymes, to emergent phenomena playing out in eukaryotic cells, to assessing the movement of an entire organism at the human level, exploring biological processes requires starting from a physics-based understanding of the system under investigation. Join our panel of speakers to learn about their diverse areas of research in this domain.
 
  •              14:30 - 16:00 Translating Machine Learning to Healthcare Settings
                  Vahideh Reshadat, Eindhoven University of Technology, the Netherlands
                  Michael Walsh, University of Wisconsin Eau Claire, USA
                  Marina Codari, Stanford University School of Medicine, USA
The application of machine learning to healthcare has been long promised, but has been slow to deliver. The vast quantities of data surrounding patients, tests, and tissue samples offer a rich potential target, but the hurdle lies in adapting these approaches to the idiosyncrasies of the medical system and its practitioners. The reams of clinical and lab data gathered by providers are hidden away in text format within electronic medical records, and must be appropriately extracted. The information available via medical imaging must be harvested via approaches suited to clinically-relevent analysis. New diagnostic technologies that produce large, noisy datasets must be analyzed in ways that can be meaningfully communicated to the medical practitioners responsible for its analysis. Join us to learn from our panel of speakers about how they tackle these challenges in different areas of research.

Our speakers
Alessia Paglialonga
Alessia Paglialonga

Alessia Paglialonga, PhD

Institution: CNR, National Research Council, Italy
Topic:
A new system for widespread hearing screening at a distance
Session: 09:00 - 10:30 CET
Franck Delaplace
Franck Delaplace

Pr. Franck Delaplace

Institution:
Paris-Saclay University, Univ. Evry IBISC, France
Topic: Network Fate Controllability
Session: 09:00 - 10:30 CET
Khan Muhammad
Khan Muhammad

Khan Muhammad, Assistant Professor

Institution: Sejong University, South Korea
Topic: Technologies Impacting the Delivery of Healthcare: Introduction and Outlooks
Session: 09:00 - 10:30 CET
PaulineG
PaulineG

Pauline Gerus, Lecturer

Institution: Université Côte d'Azur - LAMHESS, France
Topic: Neuromusculoskeletal modeling for clinical applications
Session: 10:30 - 12:00 CET
Anna Maria Bianchi
Anna Maria Bianchi

Pr. Anna Maria Bianchi

Institution: Politecnico di Milano - Department of Electronics, Information and Bioengineering, Italy
Topic: Stress and emotions: modeling through physiological signals
Session: 10:30 - 12:00 CET
ThomasL
ThomasL

Thomas Laporte, MSc

Institution: Université Côte d'Azur - LJAD, France
Topic: End-to-end algorithm to extract respiratory system from CT-scan
Session: 10:30 - 12:00 CET
Joachim Krug
Joachim Krug

Pr. Joachim Krug

Institution: Institute for Biological Physics, University of Cologne, Germany
Topic: Evolutionary pathways to antibiotic resistance
Session: 13:00 - 15:00 CET
Vijay Kumar K
Vijay Kumar K

Pr. Vijay Kumar Krishnamurthy

Institution: International Centre for Theoretical Sciences, Tata Institute of Fundamental Research,
 Bangalore, India
Topic: Morphogenetic Patterns: Signaling, Mechanics and Geometry
Session: 13:00 - 15:00 CET
Marco Caruso
Marco Caruso

Eng. Marco Caruso

Institution: Politecnico di Torino, Italy
Topic: Measuring human movement using wearable magneto-inertial sensors: from the theory to the unconstrained assessment
Session: 13:00 - 15:00 CET
Ville Mustonen
Ville Mustonen

Pr. Ville Mustonen

Institution: University of Helsinki, Finland
Topic: Using computational methods and evolutionary theory to combat drug resistance
Session: 13:00 - 15:00 CET
VahidehR
VahidehR

Vahideh Reshadat, PhD

Institution: Eindhoven University of Technology, the Netherlands
Topic: Text analytics in healthcare using machine learning approaches: a case study
Session: 14:30 - 16:00 CET
MichaelW
MichaelW

Michael Walsh, PhD

Institution: University of Wisconsin Eau Claire, USA
Topic: IR spectroscopic imaging: improving disease diagnosis and prediction of patient outcome
Session: 14:30 - 16:00 CET
Marina Codari
Marina Codari

Marina Codari, PhD

Institution: Stanford University School of Medicine, USA
Topic: Deep learning for aortic dissection surveillance
Session: 14:30 - 16:00 CET

Registration
The BoostUrCAreer Doctoriales 2021 are over. Stay tuned for next year!
Contact :
Programme office : boosturcareer@univ-cotedazur.fr