Prof. Riccardo Bellazzi, University of Pavia, Italy
Building trustworthy AI systems with reliable components Riccardo Bellazzi is Full Professor of Bioengineering and Biomedical Informatics at the University of Pavia. He is the Director of the Department of Electrical, Computer and Biomedical Engineering of the University of Pavia. Moreover, he leads the Laboratory of biomedical informatics at the hospital “Salvatore Maugeri” in Pavia. The scientific interests of Prof. Bellazzi are highly interdisciplinary and are aimed at applications of informatics to medicine and life sciences, comprising artificial intelligence, biomedical data mining, telemedicine, temporal data analysis, decision support, clinical research informatics. Prof. Bellazzi has a wide and internationally recognized research activity. In 2000 he founded the working group on “Intelligent Data Analysis and Data Mining” of the International Association of Medical Informatics (IMIA). In 2009 he became a Fellow of the American College of Medical Informatics for his international achievements. He is a Founding Fellow of the International Academy of Health Sciences Informatics (IAHSI), and he was Vice-President for Medinfo of IMIA in the period 2011-2014. He is and was involved in several EU-funded projects related to IT in medicine and bioinformatics.
He is a member of the editorial board of the journals “Methods of Information in Medicine”, “Journal of the American Medical Informatics Association”, “International Journal of Biomedical Informatics”, “Journal of Diabetes Science and Technology “and former Associate Editor of the “Journal of Biomedical Informatics”. Prof. Bellazzi is author of more than 230 publications on international peer reviewed journals and of than 250 publications in proceedings of international conferences. Finally, he is co-founder of the academic spin-offs Biomeris, which implements software to support clinical research, and Engenome, which is specialized on the analysis of Next Generation Sequencing data with AI approaches. |
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Dr. Anthony Chang, Chief Intelligence and Innovation Officer (CIIO) and Medical Director of the Heart Failure Program at Children’s Hospital of Orange County, AIMed Founder, USA
Current and Future of AI in Clinical Medicine: Lessons Learned this Decade and Future Paradigm for Clinical Impact ABSTRACT: Artificial intelligence has gradually been introduced and adopted in the clinical medicine realm, but the clinical impact has not been as big as it was hoped. Among the issues include: lack of continual clinician/data scientist synergy, inadequate data and IT infrastructure, failure to maintain AI models that have generalizability, inadequate education for clinicians and administrators, and too little appreciation for the complexities of clinical medicine and decision making. The future of clinical medicine needs to have much stronger clinician involvement and direction so the level of cognition will be much higher. This future paradigm will need to involve AI technologies such as reinforcement learning and digital twins. Dr. Chang attended Johns Hopkins University for his B.A. in molecular biology prior to entering Georgetown University School of Medicine for his M.D. He then completed his pediatric residency at Children’s Hospital National Medical Center and his pediatric cardiology fellowship at the Children’s Hospital of Philadelphia. He then accepted a position as attending cardiologist in the cardiovascular intensive care unit of Boston Children’s Hospital and as assistant professor at Harvard Medical School. He has been the medical director of several pediatric cardiac intensive care programs (including Children’s Hospital of Los Angeles, Miami Children’s Hospital, and Texas Children’s Hospital). He served as the medical director of the Heart Institute at Children’s Hospital of Orange County. He is currently the Chief Intelligence and Innovation Officer (CIIO) and Medical Director of the Heart Failure Program at Children’s Hospital of Orange County. He has also been named a Physician of Excellence by the Orange County Medical Association and Top Cardiologist, Top Doctor for many years as well as one of the nation’s Top Innovators in Healthcare. He has completed a Masters in Business Administration (MBA) in Health Care Administration at the University of Miami School of Business and graduated with the McCaw Award of Academic Excellence. He also completed a Masters in Public Health (MPH) in Health Care Policy at the Jonathan Fielding School of Public Health of the University of California, Los Angeles and graduated with the Dean’s Award for Academic Excellence. Finally, he graduated with his Masters of Science (MS) in Biomedical Data Science with a subarea focus in artificial intelligence from Stanford School of Medicine and has completed a certification on artificial Intelligence from MIT. He is a computer scientist-in-residence and a member of the Dean’s Scientific Council at Chapman University. He has helped to build a successful cardiology practice as a startup company and was able to complete a deal on Wall Street. He is known for several innovations in pediatric cardiac care, including introducing the cardiac drug milrinone and co-designing (with Dr. Michael DeBakey) an axial-type ventricular assist device in children. He is a committee member of the National Institute of Health pediatric grant review committee. He is the editor of several textbooks in pediatric cardiology, including Pediatric Cardiac Intensive Care, Heart Failure in Children and Young Adults, and Pediatric Cardiology Board Review.
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Prof. Min Chen, Huazhong University of Science and Technology, China
Near-human Sensing in Fabric Smart Space ABSTRACT: In future network, the provisioning of ultra-low latency, non-intrusive and immersive service experience creates various challenges, among which near-human sensing is of great importance to obtain multi-modal information without disturbing user. This talk introduces the development of various functional fabrics, which have provided new thoughts for generating novel near-human services interconnected by fabric sensors, body area network, edge cloud and visualization system. In order to embrace digital intelligent world, this talk also presents the fabric smart space empowered by intelligent fabric agents, which gather multidimensional sensory data and interactive information via near-human sensing technologies. Finally, several examples with the use of fabric smart space are given in terms of sport, healthcare and medical scenarios. Min Chen is a full professor in School of Computer Science and Technology at Huazhong University of Science and Technology (HUST) since Feb. 2012. He is the director of Embedded and Pervasive Computing Lab, and the director of Data Engineering Institute at HUST. |
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Prof. Diane Cook, Washington State University, USA
Designing Digital Tools for ADRDs that Double as Assessments and Interventions ABSTRACT: The world’s population is aging, and the increasing number of older adults with Alzheimer’s disease and related dementias (ADRDs) is a challenge our society must address. New modes of technology offer unprecedented opportunities to address some of the needs that accompany cognitive decline by providing automated health assessment and memory interventions. In this work, we create EMMA, a memory management app, that combines the two capabilities. Through participatory design with older adults and caregivers, we design an app that is accessible and effective as a compensatory aid for older adults with memory decline. By collecting data from app usage in combination with sensor data, we extract digital markers that predict multiple clinical measures. We evaluate this app using data from 14 participants with mild cognitive impairment. We observed moderate to large correlations between predicted and ground-truth assessment scores for each clinical assessment. Diane Cook is Regents Professor and Huie-Rogers Chair in the School of Electrical Engineering and Computer Science at Washington State University, founding director of the WSU Center for Advanced Studies in Adaptive Systems (CASAS), and co-director of the WSU AI Laboratory. She is a Fellow of the IEEE and the National Academy of Inventors. Diane’s work is featured in BBC, IEEE The Institute, IEEE Spectrum, Smithsonian, The White House Fact Sheet, Scientific American, the Wall Street Journal, AARP Magazine, HGTV, and ABC News. Her research aims to create smart environments that automate health monitoring and intervention, evaluated via the CASAS Smart Home in a Box installed in over 160 sites across 9 countries. Her research currently focuses on developing machine learning methods that map a human behaviorome as a foundation for constructing a digital twin. She also conducts multidisciplinary research to leverage digital twin technologies for automatically assessing, extending, and enhancing a person’s functional independence.
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Prof. George Karagiannidis Professor, Aristotle University of Thessaloniki, Greece
Indoor Radar Sensing of Elderly People : Overcoming the Barriers in Home Care Technology ABSTRACT: The use of new technologies in monitoring of elderly people has significantly grown in the last years. Although indoor radar monitoring is still in its early stage of development, it carries great potential to be one of the leading technologies in the future. In this presentation, the basics and the advantages of indoor radar sensing, compared to other existing technologies as cameras and wearable devices, will be provided and discussed. Dr. George K. Karagiannidis was born in Pithagorion, Samos Island, Greece. He received the University Diploma (5 years) and PhD degree, both in electrical and computer engineering from the University of Patras, in 1987 and 1999, respectively. From 2000 to 2004, he was a Senior Researcher at the Institute for Space Applications and Remote Sensing, National Observatory of Athens, Greece. In June 2004, he joined the faculty of Aristotle University of Thessaloniki, Greece where he is currently Professor in the Electrical & Computer Engineering Dept. and Head of Wireless Communications & Information Processing (WCIP) Group. He is also Honorary Professor at South West Jiaotong University, Chengdu, China. |
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Prof. Elisa E. Konofagou, Columbia University, USA
Harnessing ultrasound for modulation of the central and peripheral nervous system ABSTRACT: Focused ultrasound (FUS) neuromodulation has previously been proposed as a promising technique to drive neuronal activity and has been shown throughout a breadth of applications including in mice, rats, non-human primates and humans as a novel technique for the noninvasive manipulation of neuronal activity using ultrasound. Our group and others have demonstrated excitation of both the central (CNS) and peripheral nervous system (PNS). In the CNS, motor- and cognitive-related brain regions of mice were induced by targeting specific brain structures. Higher acoustic pressures increased the success rate. Pupil dilation was observed when neuromodulating regions in the brain covering the superior colliculus and other anxiety-related structures such as hippocampus and locus coeruleus. In the PNS, we showed for the first time stimulation of the sciatic nerve with FUS eliciting a physiological motor response was recorded in vivo. Clipping the sciatic nerve downstream of stimulation eliminated EMG activity during FUS stimulation. Peak-to-peak EMG responses and latencies were comparable to conventional electrical stimulation methods. Histology along with behavioral and thermal testing did not indicate damage to the nerve or surrounding regions. Finally, underlying mechanisms on the Piezo2 channel and clinical studies on pain mitigation will be shown. Our studies demonstrate the capability of FUS to modulate target specific regions in both the brain and the periphery with several potential clinical applications. Elisa Konofagou is the Robert and Margaret Hariri Professor of Biomedical Engineering and Professor Radiology as well as Director of the Ultrasound and Elasticity Imaging Laboratory at Columbia University in New York City. Her main interests are in the development of novel elasticity imaging techniques and therapeutic ultrasound methods and more notably focused ultrasound in the brain for drug delivery and stimulation, myocardial elastography, electromechanical and pulse wave imaging, harmonic motion imaging with several clinical collaborations in the Columbia Presbyterian Medical Center and elsewhere. Elisa is a Member of the National Academy of Medicine, an Elected Fellow of the American Institute of Biological and Medical Engineering, a member of the IEEE in Engineering in Medicine and Biology, IEEE in Ultrasonics, Ferroelectrics and Frequency Control Society, the Acoustical Society of America and the American Institute of Ultrasound in Medicine. She has co-authored over 250 published articles in the aforementioned fields. Prof. Konofagou is also a technical committee member of the Acoustical Society of America, the International Society of Therapeutic Ultrasound, the IEEE Engineering in Medicine and Biology conference (EMBC), the IEEE International Ultrasonics Symposium and the American Association of Physicists in Medicine (AAPM). Elisa serves as Associate Editor in the journals of IEEE Transactions in Ultrasonics, Ferroelectrics and Frequency Control, Ultrasonic Imaging and Medical Physics, and is recipient of awards such as the CAREER award by the National Science Foundation (NSF), the Nagy award by the National Institutes of Health (NIH) and the IEEE-EMBS Technological Achievement Award as well as additional recognitions by the American Heart Association, the Acoustical Society of America, the American Institute of Ultrasound in Medicine, the American Association of Physicists in Medicine, the Wallace H. Coulter foundation, the Bodossaki foundation, the Society of Photo-optical Instrumentation Engineers (SPIE) and the Radiological Society of North America (RSNA). |
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Prof. Roisin M. Owens , University of Cambridge, United Kingdom
Bioelectronic tools to study the gut-brain axis. ABSTRACT: Polymeric electroactive materials and devices can bridge the gap between hard inflexible materials used for physical transducers and soft, compliant biological tissues. An additional advantage of these electronic materials is their flexibility for processing and fabrication in a wide range of formats. In this presentation, I will discuss our recent progress generating 3D conducting polymer devices, to simultaneously host and monitor complex multi-cellular models of tissues and organs. Electrophysiological recording of parameters such as tissue impedance, epithelial and endothelial barrier tissue integrity and neuronal activity, are all made possible thanks to the conducting polymer devices and are validated with traditional biological readouts such as immunofluorescence or cytokine analysis. Building on our previous work that showcased a bioelectronic model of the human intestine, we are now incorporating elements of the microbiome and the immune system as well as the enteric nervous system. Coupling this model with our model of the neuro-vascular unit (including blood brain barrier) currently in progress, will bring us to our goal of a physiologically representative in vitro model of the gut-brain-microbiome axis. Alongside our in vitro work, I will show how our recent work on developing electronic probes to study the enteric nervous system. Transitioning from in vitro human and rat to in vivo rat models allows us to integrate electrophysiological recordings of neuronal activity with tissue impedance to really begin to unravel gut-brain axis signaling. Róisín M. Owens is Professor of Bioelectronics at the Dept. of Chemical Engineering and Biotechnology in the University of Cambridge and a Fellow of Newnham College. She received her BA in Natural Sciences (Mod. Biochemistry) at Trinity College Dublin, and her PhD in Biochemistry and Molecular Biology at Southampton University. She carried out two postdoc fellowships at Cornell University, on host-pathogen interactions of Mycobacterium tuberculosis in the dept. of Microbiology and Immunology with Prof. David Russell, and on rhinovirus therapeutics in the dept. of Biomedical Engineering with Prof. Moonsoo Jin. From 2009-2017 she was a group leader in the dept. of bioelectronics at Ecole des Mines de St. Etienne, on the microelectronics campus in Provence. Her current research centers on application of organic electronic materials for monitoring biological systems in vitro, with a specific interest in enhancing the biological complexity and adapting the electronics to be fit for purpose. She has received several awards including the European Research Council starting (2011), proof of concept grant (2014) and consolidator (2016) grants, a Marie Curie fellowship, and an EMBO fellowship. She currently serves as co-I and co-director for the EPSRC CDT in Sensor Technologies, renewed in 2019. She is a 2019 laureate of the Suffrage Science award. From 2014-2020, she was principle editor for biomaterials for MRS communications (Cambridge University Press), and she serves on the advisory board of Advanced BioSystems and Journal of Applied Polymer Science (Wiley). In 2020 she became Scientific Editor for Materials Horizons (RSC). She is author of 100+ publications and 2 patents and her work has been cited more than 6000 times.
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Prof. Jeffrey Palmer, Massachusetts Institute of Technology Lincoln Laboratory, USA
AI-enabled Sensing and Interventions for Global Health. ABSTRACT: The challenges and opportunities to improve the global health cycle are at critical inflection points under the strain of a world-wide pandemic, international conflict, and large-scale environmental disasters. AI-enabled sensing, decision support, and actions can leverage the enormous data generated and consumed through the global health steps of monitoring, diagnosis, intervention, training, prevention, and informing the public. This presentation will discuss how body sensor networks and health informatics platforms can work in concert with population-level and environmental sensing to assess health threat phenomenology, exposure dosimetry, medical intervention efficacy. These advances can be used to scale interventions, guide health and emergency response policy, enhance training of healthcare providers and first responders, and more effectively engage the public. Dr. Jeffrey S. Palmer is the Assistant Head of the Biotechnology and Human Systems Division at MIT Lincoln Laboratory. He shares responsibility for research, development, evaluation, and technology transfer in chemical and biological defense, human health & performance, and global resilience to climate, conflict, and disaster threats. Previously, he was the leader of the Human Health & Performance Systems Group that focused on AI-enabled biomedical tools, human performance enhancement, objective neurocognitive analytics, and biosensing via wearable, ingestible, and implantable devices. He has served on editorial boards for journals in biomechanics, molecular science, biomedical informatics, and biosensors. He is a Senior Member of the IEEE, past chairman of the IEEE EMBS Technical Committee on Wearable Biomedical Sensors and Systems and on the editorial board for the IEEE OJEMB. He has served on international studies for enhancing health and performance. He currently serves on the faculty for the NIH RADx initiative and a NASEM standing committee. He holds a B.S. from New Mexico State Univ., an M.S. from Rensselaer Polytechnic Institute, and a Ph.D. (minor in bioengineering) from MIT, all in mechanical engineering.
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Prof. Dinggang Shen, Shanghaitech University, China
Deep Learning based Medical Image Reconstruction ABSTRACT: This talk will introduce various deep learning methods we developed for fast MR acquisition, low-dose CT reconstruction, and low-cost and low-dose PET acquisition. The implementation of these techniques in scanners for real clinical applications will be demonstrated. Also, comparisons with state-of-the-art acquisition methods will be discussed. Dinggang Shen is Jeffrey Houpt Distinguished Investigator, and a Professor of Radiology, Biomedical Research Imaging Center (BRIC), Computer Science, and Biomedical Engineering in the University of North Carolina at Chapel Hill (UNC-CH). He is currently directing the Center for Image Analysis and Informatics, the Image Display, Enhancement, and Analysis (IDEA) Lab in the Department of Radiology, and also the medical image analysis core in the BRIC. He was a tenure-track assistant professor in the University of Pennsylvanian (UPenn), and a faculty member in the Johns Hopkins University. Dr. Shen’s research interests include medical image analysis, computer vision, and pattern recognition. He has published more than 900 papers in the international journals and conference proceedings, with H-index 84. He serves as an editorial board member for eight international journals. He has also served in the Board of Directors, The Medical Image Computing and Computer Assisted Intervention (MICCAI) Society, in 2012-2015, and will be General Chair for MICCAI 2019. He is Fellow of IEEE, Fellow of The American Institute for Medical and Biological Engineering (AIMBE), and also Fellow of The International Association for Pattern Recognition (IAPR).
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