Hugo Plácido da Silva

Instituto de Telecomunicações and IST/UL

Title: Invisibles – A New Frontier in Biomedical Sensing


PhD and MSc degrees in Electrical and Computers Engineering from the Instituto Superior Técnico (IST) – University of Lisbon (UL). Hugo is a researcher at the IT – Instituto de Telecomunicações ( since 2004, and a Professor at IST/UL ( since 2019. He is also one of the co-founders of PLUX – Wireless Biosignals, S.A. (, established in 2007 as an innovative technology-based company operating in the field of medical devices for healthcare and quality of life, where he is currently Chief Innovation Officer.

More recently, Hugo has been actively working towards making biomedical engineering more widespread through BITalino (, an open source software and low-cost hardware toolkit, which allows anyone from students to professional app developers, to create projects and applications with physiological sensors.

His main interest areas include biosignal research, system engineering, signal processing, and pattern recognition, and his work has been distinguished with several academic and technical awards such as the “alumniIPS” career award in 2019, the “Best Industrial and Enabling Technology” at the European Commission’s DG-CONNECT Innovation Radar Prize in 2017, the 1st place at the Portuguese Young Engineer Innovation Awards in 2015, the “Most Innovative Technology” award at the MIT Portugal E3 Forum in 2013, just to name a few.

Both at a technical and scientific level, Hugo has actively contributed to and participated in more than 20 national and European projects, funded by grants from Horizon 2020 (H2020), the Seventh Framework Programme (EU-FP7), the National Strategic Reference Framework (QREN/NSRF), the FCT, and several other private and public institutions (e.g. Vodafone Foundation, Portugal Telecom Foundation, etc.). He has published 140+ papers in international refereed conferences, peer reviewed journals, and book chapters.

Hugo is an IEEE Senior Member since 2018 and IEEE Member since 2010, affiliated with the IEEE Engineering in Medicine and Biology Society. Furthermore, he is an active member of the IEEE EMBS Portugal Chapter, where he is currently one of the elected officers.


In the U.S. alone, there are almost twice more heart attacks than reported home structure fires every year. Nevertheless, a typical household has multiple fire detectors to help prevent the latter, and virtually no way of warning about the former. Biomedical sensing, analysis, and interpretation are basic elements of wellbeing assessment, preventive healthcare, and creation of better healing environments.

While wearables have contributed to make such elements a more pervasive and integral part of people’s daily lives, biomedical sensing can take health monitoring one step further. By incorporating biomedical sensing in the surrounding environment in a more integrated way, biomedical sensing can become much more pervasive. Although this approach is not likely to “replace” regular methods, they may act as an invisible proxy or complement to regular care.

In this talk we will provide a brief introduction to the “invisibles” approach to biomedical sensing, describing some of the ways in which they can be incorporated in our everyday lives, and presenting practical examples of tools and conceptual installations that illustrate how the living space of the future may become an “invisible doctor”.

Andrzej Janusz

University of Warsaw

Title: BrightBox Tech – a Model Agnostic XAI Toolkit for Diagnosing and Auditing ML Models


Andrzej Janusz is an active and experienced researcher in fields related to data exploration, machine learning, and artificial intelligence. In 2014, he received a Ph.D. degree in Computer Science from the University of Warsaw in Poland, where he holds the position of Assistant Professor. He participated in many R&D projects funded by EU and NCBR in Poland, related to topics such as monitoring of safety conditions in hazardous environments, video game data analytics, active learning, and explainable artificial intelligence. He cooperated with scientists from several academic centers in Poland and abroad, such as the Silesian University of Technology, Main School of Fire Service, University of Granada, and Dalhousie University. His professional career includes cooperation with companies such as AdgaM Solutions, Zoined Oy, Silver Bullet Labs, and currently QED Software. His publication record consists of over 50 articles on topics related to applications of machine learning techniques. He co-founded Knowledge Pit – an online platform where he is regularly organizing open data mining competitions aiming at solving complex real-life problems.


In my talk, I will discuss the problem of model agnostic explainability of machine learning models. As an example of application, I will use a data mining challenge platform, where researchers from around the world compete to solve real-life problems. I will aim to demonstrate how the results of a machine learning competition can be visually analyzed and how XAI techniques can be used to diagnose the solutions – even without direct access to models that were used to create them.

Miguel Tavares Coimbra

INESC TEC, Faculdade de Ciências da Universidade do Porto

Title: Screening Cardiac Disease in Underprivileged Environments


Prof. Miguel Coimbra is currently an Associate Professor at the Computer Science Department of the Faculty of Sciences of the University of Porto. He is a member of the Executive Board of the Faculty of Sciences of the University of Porto since 2019, current coordinator of the TEC4Health line of INESC TEC, and current Chair of the Portugal Chapter of the IEEE Engineering and Medicine Society. He was one of the founders of IT Porto in 2007, its coordinator during 2015-19 and founder of the Interactive Media Group at this institute. He was the Director of the Master in Medical Informatics of the University of Porto between 2014-16, and was a co-founder in 2013 of IS4H – Interactive Systems for Healthcare, a spin-off company of the University of Porto. Prof. Coimbra leads and participates in various projects involving engineering and medicine, namely cardiology and gastroenterology, with current and past colaborations with hospitals in Portugal, Brazil (Pernambuco, Paraíba, Minas Gerais, São Paulo), Germany and Sweden. The nearly 15 years of experience in biomedical signal processing and interactive systems for healthcare have led to the development and deployment of systems for the collection and analysis of auscultation signals, echocardiography image processing for rheumatic fever screening, monitoring of stress and fatigue of firefighters in action, endoscopy signal analysis for cancer detection, computer assisted decision systems for capsule endoscopy, and quantification of 3d motion patterns for epilepsy, among others. Prof. Coimbra has more than 130 scientific publications, 21 of which in high-impact scientific journals (15 IEEE Transactions), and has attracted and managed more than 1M€ in research funding, over a total of 13 research projects acting as the PI of the project or co-PI of its Institution.


According to the World Health Organization, cardiovascular diseases (CVDs) are in 2021 the number one cause of death globally, taking an estimated 17.9 million lives each year. Access to essential noncommunicable disease medicines and basic health technologies in all primary health care facilities is essential to ensure that those in need receive treatment and counselling. However, more than 75% of CVD deaths occur in low and middle income countries, where this access is not guaranteed, and trained clinicians are only available in small numbers. Portable technologies such as electronic stethoscopes and point-of-care ultrasound probes, when enhanced with artificial intelligence and computer assisted decision systems, could be the key to a more successful management of cardiac disease in underprivileged environments.

Miguel Pais Clemente

University of Porto, Portugal

Title: Orofacial Pain/Temporomandibular Disorders a socioeconomic burden: Enhancing diagnosis with biomedical signals


Miguel Pais Clemente ah a PhD in Dental Medicine, and he is Auxiliar Professor at Faculty of Medical Sciences of University of Oporto since 2019. In 2002, he obtained the BSc in Dental Medicine. Between 2009 and 2015, he was Invited Professor of course Unit for Occlusion, TMJ and Orofacial Pain at the Faculty of Dental Medicine, University of Porto. He also collaborated in the Master in Oral Rehabilitation. He participated in the supervision of more than 20 Master’s dissertations and was part of the jury in more than 20 public tests.

Miguel also has different courses, including the Diploma in Implant Dentistry Clínica Aparício, Barcelona, awarded by the Department of Biomaterials at the University of Gothenburg, the MSc degree in Conservative Dental Medicine at the Faculty of Dental Medicine, University of Porto, in the area of Biomaterials, the MSc degree in Orthognathic Surgery and Orthodontics, Faculty of Medicine, University of Porto, the Postgraduate Course in Oral and Extra Oral Rehabilitation with Osteointegrated Implants, Faculty of Medicine, University of Porto, the Postgraduate Course in Acupuncture by the Abel Salazar Institute of Biomedical Sciences, the PhD degree in Dental Medicine at the Faculty of Dental Medicine, University of Porto, with the thesis entitled “Study of craniofacial morphology in wind and string players”, and the Post-doc at the Faculty of Engineering of the University of Porto, since February 2019.

He is author of more than 28 national and/or international publications. He was presenter in more than 100 national and/or international conferences. Also, he edited two books, including “Articolar Saúde Oral e Arte”, and “Termografia – Imagem Médica e Sindromes Dolorosas”. He is also Member of the General Council of the Portuguese Dental Association, Founding member of the Portuguese Association of Medicine and Performing Arts, and Author of the Provisional Patent Applications, INPI registration no. 20211000001872, 18 January 2021 and 20201000023075, 11 May 2020. His research interests are Craniofacial Morphology, Orofacial Pain/Temporomandibular Disorders, Orthodontics, Oral Rehabilitation, and Biomedical Sensors.


The area of dentistry has been facing an enormous progress concerning the knowledge, techniques and materials, namely in the area of conservative dentistry, prosthodontics and orthodontics. In addition, the complementary methods of diagnosis based in imaging improved also significantly along the later years.
Understanding the importance of a correct diagnosis and the consequent treatment plan, other sensors commonly used in biomechanics can show an added value on the analysis of Orofacial Pain and Temporomandibular Disorders.
The implementation of thermic sensors such as infrared thermography, pressure sensors such as piezo resistive sensors and movement sensors like the accelerometers, will be covered along with the discussion of clinical cases associated to Orofacial pain/temporomandibular disorders. This topic is of major importance on the daily life of general population, since orofacial pain is a public health matter that can promote absenteeism and work related problems.
The integration of biomechanical sensors that can monitor, quantify and help clinicians to a better understanding of the interlaying pathology, will surely enhance a final outcome of the patient treatment. Occupational health issues that involve the area of orofacial will have a particular attention during this presentation where neck pain, headache, orofacial pain, temporomandibular related painless symptoms, sleep disorders and psychosocial factors are highlighted. The chronicity of these features can lead to the deterioration of the general health status of an individual, with direct implication on his/her quality of life.
From the author´s perspective the introduction of biomechanical sensors on these particular patients will make a difference in terms of clinical approach, acting also as predictive analysis providing a social and healthcare impact.

Dr. Henrique Martins

ISCTE – Instituto Universitário de Lisboa, Lisbon, Portugal, and Faculty of Health Sciences, Universidade da Beira Interior, Covilhã, Portugal

Title: Digital Healthcare Systems: AI and Digital Patients


Henrique Martins, MD, PhD, MLaw,FIAHSI, has a Medical Degree, Internal Medicine Speciality, a Master and PhD degrees in Management, and a Law Master’s degree (thesis on the Public Liability implications of AI in Health). He is a National Defence Auditor (National institute of Defence, Ministry of Defence, Portugal) He is a Medical Doctor and University Professor, teaching and researching in Digital Health, Healthcare Systems and Transformation, Leadership and Management education for Medical Students and Health Professionals. He was one of the first CMIOs in Portugal in 2009-2013 at Hospital Fernando Fonseca, Lisbon, where he implemented large EHR system and founded an Innovation Center in Big Data and Robotics. He is the past president of SPMS, Portugal’s Digital Health Agency, where he led National eHealth efforts for close to 7 years. He represented Portugal for 8 years and was the former Member States co-chair of the EU eHealth Network, the highest policy body on eHealth in the Union. Elected Fellow of the International Academy of Health Sciences Informatics (within IMIA) in July 2020. Since August 2020 he has integrates the HL7 Europe Foundation Board of Diretors. He now works as an Academic in two high-ranked business schools (ISCTE-IUL, and Catholica Business School), one Public Policy Institute and one medical school, and on individual consulting projects in Healthcare Transformation and Digital Health ( He has authored a series of papers some of which looking at new trends for digital health at national and hospital level. 


When humans can know enough to care not in a domestic, amateur, unprofessional way but empowered with digital tools designed, oriented, and monitored by scientists and professionals, we will have less shortage of resources to focus on highly specialized care that may still be needed. New digital healthcare systems are needed because of the following trends:

First, healthcare transformation – of processes, professionals and patients, and interprofessional collaboration and health-aware citizens are needed.

Second, significant investment in rethinking any need for physical interaction – even before COVID-19 crisis we should protect frail citizens from nosocomial infections, unnecessary travel, cost and suffering – Tele-health is the new health.

Third, security of data, privacy and interoperability – The basis of trust, necessary for the new social contract required for using advanced population-based digital tools or for Robotic professionals to step-in where humans are at risk, not enough, or where human-robot hybrids outperform both. 

Fourth, motivation – Rethinking healthcare systems worldwide was already needed. 2020 gave us extra motivation, especially if we now better understand why a digital-based healthcare system is desperately needed.

This keynote will explore how AI is transforming medicine and healthcare systems, what are digital patients and what digital health and digital sickness means and how these elements are changing the landscape of medicine and healthcare systems worldwide.