Workshop #1: Physical based machine learning in bioengineering and bioinformatics
Organisers: Nenad Filipovic, Faculty of Engineering, BIOIRC Kragujevac, University of Kragujevac, Serbia
Short Description: Current treatment in the medicine still relies exclusively on diagnostic imaging data to define the present state of the patient, biomarkers and experience of the medical doctors to evaluate the efficacy of prior treatments for similar patients. Emerging technologies with applications of biomedical and health informatics are focused to precision medicine and preventive care. but may also involve registrants through a hands-on experience or demonstrations Physical based machine learning, computational methods, big data analytics, artificial intelligence, bioinformatics, give opportunity for a patient-specific model in order to improve the quality of prediction for the disease progression into life-threatening events that need to be treated accordingly. In this special Workshop authors will present physical based machine learning tools for disease prediction, and the integrative informatics; that can improve the predictive power of the patient specific model.
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Workshop #2: Understanding Inner States of Humans using Measurements of “Invisibles” – ”Empatho-Kinaesthetic” Sensing
Organisers: Prof. Bjoern M. Eskofier, Machine Learning and Data Analytics (MaD) Lab, FAU, Prof. Anne Koelewijn, Junior Professorship for Computational Movement Science, FAU, Prof. Martin Vossiek, Institute of Microwaves and Photonics, FAU, Co-organizers: Misha Sadeghi, Falk Pulsmeye
Short Description: Every movement of the body of a living being is the result of mechanisms of action taking place inside of the body and interactions between them. The body’s motor functions are initiated and regulated by neuronal processes and, more complex movements, controlled by sensitive body perception and cognition. Depending on the physical constitution, state of health or stress, and movements, parameters of the (interaction) mechanisms change. We call this concept “empatho-kinaesthetic” sensing.
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Workshop #3: The potential of enabling technologies in tailoring and adapting neuromotor and cognitive rehabilitation in children
Organisers: Dr Ilaria Bortone, Senior Postdoc Research Fellow, Institute of Clinical Physiology, National Research Council (IFC-CNR), Pisa, Italy, Dr Lucia Billeci, Full-term Researcher, Institute of Clinical Physiology, National Research Council (IFC-CNR), Pisa, Italy
Short Description: Rehabilitation is essential, along with prevention, promotion, treatment, and support, in ensuring healthy lives and promoting well-being for all at all ages. This becomes particularly true in the pediatric population, where neuromotor or neurocognitive impairments, causally and clinically heterogeneous, occur in a challenging developmental context. Wearables, sensing, immersive virtual environments and social robotics offer the opportunity and challenges to develop novel methods for implementation of advanced and adaptive therapies in terms of engagement, proposed tasks, data analysis and feasibility of the system in the clinical setting.
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Workshop #4: Enhancing high value care system through knowledge extraction from health care data using process mining techniques
Organisers: Vicente Traver Salcedo, Universitat Politecnica de Valencia, Paulo Carvalho, University of Coimbra
Short Description: The use of big data technologies for inferring new evidence from patient information provides a great opportunity to support quality of care in a holistic way. However, the use of machine learning algorithms to create real scientific evidence in order to improve daily healthcare protocols has complex barriers to solve. One of the most common barriers is that most algorithms that create scientific evidence from big data are considered ‘black boxes’ by health experts, encouraging suspicion among physicians over the evidence inferred by their use. In this talk a paradigm for integrating health experts in the process of generating new evidences is presented. This interactive process mining paradigm combines the application of process mining technologies in healthcare using interactive machine learning paradigm for supporting health professionals in inferring new knowledge from past actions and providing accurate and personalized knowledge for future decisions and improve patients’ treatments and quality of life. In this tutorial, we will demonstrate the use of Interactive process mining techniques in real scenarios
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Workshop #5: Co-designing for gender equality: towards gender balance in scientific careers, decision making bodies and R&I content.
Organisers: Maria Fernanda Cabrera-Umpierrez, Life Supporting Technologies – Universidad Politecnica de Madrid (Spain), Yolanda Ursa, INMARK (Spain)
Short Description: This Co-Design workshop aim is to identify key issues in aspects related to gender policies and develop potential solutions through a design thinking process in order to contribute to integrate the gender perspective in Science, Technology and Innovation. Participants will discuss opportunities in their country or institution and co-design potential solutions that can be implemented to foment gender equality in the future.
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Workshop #6: Developing open, standard-based, interoperable Cancer Imaging Repositories in Europe: Issues, Experiences and Challenges.
Organisers: Prof. Manolis Tsiknakis, FORTH-ICS & Hellenic Mediterranean University, Prof. Karim Lekadir, Universitat de Barcelona
Short Description: The AI4HI Network includes five large EU-funded projects on big data and AI in cancer imaging (CHAIMELEON, EUCANIMAGE, INCISIVE, ProCancer-I, PRIMAGE and has been organized into 8 working groups (Ethical and legal issues, Metadata interoperability, Data storage and management, Data annotation, AI development, AI validation, Clinical Working Group and Outreach Working Group), each consisting of 15 experts representing the five projects and a wide range of stakeholders, perspectives, approaches and disciplines. This workshop will focus on presenting the results delivered by these working groups analyzing the existing landscape, solutions and challenges based on a concrete set of clinical use cases related to a number of cancer types (lung, breast, liver, colorectal, prostate, brain, etc).
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Workshop #7: Digital health and clinical trials (HYBRID – in-person and virtual attendance allowed)
Organisers: Prof. Paolo Bonato and Valeria De Luca
Short Description: During the last decade, we have witnessed a growing interest for the use of digital health solutions in clinical trials, with emphasis on the adoption of wearable sensors and systems to gather clinically relevant information outside of the clinic. Potential benefits of the technology include improvements in the quality of the data collected during the trial, a decrease in the sample size required to complete the trial, the detection of early signs of drugs’ adverse effects, and improvements in adherence by study participants. In this workshop, we will discuss with experts from academia and the industry how digital health solutions should be designed to address the needs of clinical researchers and the pharmaceutical industry. Topics discussed during the workshop will include: 1) requirements recently introduced by funding agencies concerning the performance of clinical trials, 2) examples of trials that have leveraged the use of digital health solutions, 3) the growth of digital health units within pharmaceutical companies, 4) examples of platforms developed to facilitate the performance of clinical trials, and 5) recommendations concerning how to approach the development of digital health technologies.
