Lectures Day:
October 8th, 2022

Workshops:
October 10-14th, 2022

Welcome To WBME

The main goal of this annual conference is to expose students, engineers, scientists and the overall academic and scientific communities to the greatest recent advances in the fields of Technology, Health and Biomedical Engineering taking place in some of the most prestigious research institutions. Each year different subjects are explored, always according to our audience's preferences. This is a 100% free event, so make sure you don't miss it!

This Edition

In 2022, for the 14th WBME, we'll acknowledge the areas of Medical Robotics in Surgery, Proton Therapy in Oncology, Tissue Engineering in Organ development and, for the first time in a event like this, Biomedical Engineering in Veterinary Medicine will be explored! (8th October)

As for the practical workshops, we'll provide training in the fields of Microfluidics and Organs-On-Chip, 3D Printing for rehabilitation, Biomechanics and Computational Biophysics. (10th-14th October)

Furthermore, we'll have a session about the investigative work of an alumnus and we'll host a debate on Innovation in Science.

This is for you!

For eleven years, WBME was held only for one Saturday. On the 12th edition we expanded our event by adding practical workshops in the following week, in order to provide students with a more in-depth knowledge and to teach them some useful tools for both their academic and professional career. Plus, being a completely free event, it's the perfect opportunity for students to brush up their skills and learn a bit more!

We hope this event will contribute to open new opportunities for research, from contact with people of the best science universities in the world, in this fascinating area that is changing the world of healthcare and life quality.

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By NE2B2 - Núcleo de Estudantes de Engenharia Biomédica e Biofísica
Faculdade de Ciências da Universidade de Lisboa

Speakers

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Program - 8th October

09:00 AM

Reception

9:30 AM

Welcome Session

This year's Organization Committee of the annual Workshop on Biomedical Engineering (WBME) invites you to the 14th Workshop on Biomedical Engineering.
10:30 AM

Networking with Coffee Break

13:00 AM

Lunch Break

2:30 PM

Best Alumnus

Normative model for the diagnosis of neuropsychiatric disorders using deep learning methods.
Duarte Saraiva


The diagnosis of neuropsychiatric disorders is mostly based on the clinical evaluation of the patient's signs and symptoms. Deep learning binary-based classification models have been attempted to improve the diagnosis but have not yet reached clinical practice, in part due to the heterogeneity of such disorders. Here, a normative model based on autoencoders is proposed. Resting-state functional magnetic resonance imaging (rs-fMRI) data processing was conducted within the FSL software. Pearson's correlation coefficient between the extracted blood oxygen level-dependent (BOLD) time series of all FBNs was calculated, and a correlation matrix was generated for each subject. The autoencoder was trained with processed data of healthy controls. The model was then tested on schizophrenia (SCZ), bipolar disorder (BD) and attention deficit hyperactivity disorder (ADHD) patients to estimate how each patient deviated from the norm and associate it with abnormal functional brain network (FBN) connectivity. It was found that the functional connectivity related to the basal ganglia network seems to play an important role in the neuropathology of BD and SCZ, whereas in ADHD, its role is less evident. The results demonstrate that the proposed model was able to identify functional connectivity patterns that characterize different neuropsychiatric disorders, in agreement with the literature. However, the group-level differences did not withstand individual-level analysis implying that neuropsychiatric disorders are highly heterogeneous. These findings suggest that a precision-based medical approach, focusing on individual patients' specific functional network changes may be more beneficial than the traditional group-based diagnostic classification.
3:30 PM

Coffee Break

3:50 PM

Translating Human to Veterinary Medicine

Prof. Ricardo Faustino
4:20 PM

Poster Winner Reveal

4:40 PM

Closing Session

Workshops

10th October - 5:00 PM

Building Microfluidic Devices for Organ-on-chip Applications

Vânia Silvério - [INESC MN]
Duration: 1h30
Language: English
Location: FCUL

Organs-on-chips are devices able to mimic the structure and function of an organ with the possibility to actuate and measure their response in vitro, in a very controlled manner. Advantages of this technology include low reagent usage, controllable volumes, fast mixing speeds, rapid responses, and precision control of physical and chemical properties. They combine cell biology, engineering, and biomaterial technology, all on a single or in multiple chips, to predict response to stimuli including drug responses, toxicity and environmental effects. Flow controllers are used to manipulate the organ microenvironment, with flow rates of the order of pL/min, through fluidic paths of a few micrometres. In this hands-on workshop attendants will learn and explore micro/nanofabrication techniques, materials, flow regimes, sensors and actuators and their integration in microfluidic devices for organ-on-chip.
10th October - 06:00 PM

Exploring biosignals using BITalino

Dra. Madalena Proença - Product Manager at PLUX
Katrin Mrotzeck - Product Expert at PLUX
Duration: 1h30
Language: English
Location: FCUL

Do you want to see your muscular signals in real-time? Then this workshop is for you!
PLUX will offer a detailed workshop on how to perform a set of EMG acquisitions in real-time, and how to understand the basic blocks of a data acquisition system. get familiar with biosignals acquisition procedures, test different electrode positions to examine different muscle signals and understand the factors that influence the EMG signal.
11th October - 06:00 PM

3D Printing for Rehab

Dra. Cláudia Quaresma - [FCT Nova]
Duration: 1h30
Language: Portuguese
Location: FCUL


3D Printing has a great application in the health area with a high impact on rehabilitation and the promotion of quality of life. It is in this sequence that the 3D Printing Center for Health appears, created by the LIBPhys and UNIDEMI Research Centers and by Fablab FCT, whose main objective is to promote, coordinate and apply technological development activities with social impact in the area of ​​health and functional independence, using 3D printing, through the integration of interdisciplinary knowledge in the areas of Medicine and Engineering. In this workshop, participants will have the opportunity to get to know the 3D Printing Center for Health and the methodology used in the development of E-nable prostheses and support devices using 3D Printing. Students will also be able to develop E-nable prostheses according to the cases presented.
12th October - 04:30 PM

Visit to CFTC lab

Duration: 1h
Language: Portuguese
Location: FCUL

12th October - 05:45 PM

Computer Simulation in Biomedicine and Biophysics

Nuno Araújo - CTFC
Duration: 1h30
Language: Portuguese
Location: FCUL

One of the main research lines at CFTC focus on the study of Soft Matter systems, a class of many-body (Condensed Matter) systems characterized by strong non-linear responses to weak external perturbations. These responses are usually slow and out of equilibrium, which raises fundamental challenges to the development of theories to describe them. Since the relevant length, time, and energy scales of biological systems are comparable to the ones of Soft Matter, there has been a sustained increase of research efforts to extend ideas and methods from Soft Matter Physics to the study of bio and bio-inspired systems. In this workshop, we will discuss what are the ongoing projects at CFTC, main challenges, and opportunities ahead.
14th October - 05:30 PM

MyoSuite: Myochallenge

Guillaume Durandau
Duration: 1h
Language: English
Location: Zoom

Synthesis of human motion is currently restricted to data-driven approaches that require lengthy motion data recordings. Machine learning algorithms open new avenues to control digital twins of human and synthesize complex movements. In collaboration with Meta AI, we created the Myosuite an open-source framework which contains physiologically accurate neuromusculoskeletal models coupled with deep neural networks. This framework could be used to understand how humans generate motion, create more biomimetics artificial intelligence algorithms and explore the co-evolution between humans and robots (exoskeleton, prosthetic and cobot). In this workshop, I will first present the software and models available and then give an introduction on how to control a model of the arm coupled with an exoskeleton.

Sponsors

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Official Partners

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Agradecemos também ao financiamento da FCT: referência UIDB/00645/2020.

This annual Workshop aims to expose students, engineers and scientists to recent developments in Biomedical Engineering that took place in some of the most respected international research centers and universities of the world.

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