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Digital Twins: Technological Advances and Application Opportunities
Life and Matter Sciences 17th edition. Cycle of conferences and debates in science Thursday, 13 February 2025, 17:30 hours Madrid
General information:
Venue: Fundación Ramón Areces - salón de actos. Calle Vitruvio, 5. 28006. Madrid.
Free attendance until full capacity is reached. Prior online registration is required. Simultaneous interpretation.
The auditorium is equipped with a magnetic loop system.
Organized by:
Fundación Ramón Areces y Springer Nature
- Description
- Programme
- Speaker/s
Digital twins are virtual representations of a physical or biological object, process or system that are transforming how we design, operate and maintain all types of systems. From manufacturing to healthcare, digital twins are enabling new ways of optimization, simulation, and analysis that can lead to significant improvements in efficiency and effectiveness.
Recent advancements in technologies such as artificial intelligence, machine learning, and the Internet of Things have fuelled the development and adoption of digital twins. In recent years, important advances have been made in technologies associated with digital twins, such as modeling methods and machine learning, in fields such as engineering and manufacturing. Applications of digital twins have been used to develop, test and maintain aircrafts and spacecrafts, and to optimize product life cycle management in manufacturing systems. More recently, applications have spread to other fields, such as health, weather and climate prediction or urban planning.
In the field of biomedicine, digital twins are being used in the simulation of organs by creating virtual projections that, for example, predict the cardiac response in response to a treatment. Digital twins also offer great advances in improving medical education, patient communication, and treatment individualization.
This 17th Conference will describe the latest advances in digital twin technology and current and near-future applications in the field of biomedicine, thanks to the experience gained from developing these systems in other fields.
"The Ramón Areces Foundation is not responsible for the opinions, comments or statements made by the people who participate in its activities."
February 13th, 2025
17:00 h.
Register of attendees
17:30 h.
Presentation
Emilio Bouza Santiago
Chairman of the Scientific Council of Fundación Ramón Areces, Madrid.
Soledad Santos Suárez
Director of Scientific Services, Europe; Springer Healthcare, a Springer Nature business.
17:45 h.
Introduction
Erika Pastrana
Vice President of Nature Research Journals, Springer Nature, New York. USA.
18:00 h.
Digital Twins and Artificial Intellingence: Transforming the Future
Francisco Herrera Triguero
University of Granada, Granada. Spain.
18:20 h.
Complex Networks and Digital Twins for 21st Century Health Systems
Guido Caldarelli
University of Venice Ca´Foscari, Venice. Italy.
18:40 h.
Smart electronics, artificial intelligence and digital twins: New advances in our health.
Luigi G. Occhipinti
University of Cambridge, Cambridge. United Kingdom.
19:00 h.
Advances in the care of arrhythmias with digital twins and artificial intelligence
Natalia Trayanova
Johns Hopkins University, Baltimore. USA.
19:20 h.
Debate
Moderator: Erika Pastrana
Nature Research Journals, Springer Nature, New York. USA.

Erika Pastrana
Erika Pastrana began her publishing career in 2010 as an editor at Nature Methods, where she was in charge of the neuroscience area, moving to Nature Communications magazine in March 2014 as Team Manager. In April 2017, she began as Executive editor within the Nature Research Journals division in 2019, as the editorial director of Nature journals was responsible for the management and editorial direction of applied sciences and chemistry. Since January 2025, Erika has been promoted to Vice President of Nature Research journals, a collection of 40 journals with diverse topics, such as Nature Water and Nature Sustainability to Nature Medicine and Nature Genetics, all of which are dedicated to the publication of scientific advances with the highest standards of reproducibility, global impact and a strong commitment to open science.
Erika has a degree in Biochemistry and Molecular Biology from the Autonomous University of Madrid and a doctorate in Neuroscience from the Autonomous University of Madrid, where she studied axonal regeneration in animal models of lesions of the nervous system. Following her doctoral thesis, Erika did her postdoctoral studies at Columbia University in New York.

Francisco Herrera Triguero
Professor of the Department of Computer Science and Artificial Intelligence. Director of the Andalusian Interuniversity Institute of Data Science & Computational Intelligence (DaSCI). University of Granada, Granada. Spain.
Francisco Herrera Triguero studied mathematics at the University of Granada where he also obtained his doctorate in artificial intelligence in 1991. Since then, he has developed an outstanding academic and research career in the fields of artificial intelligence and computer science. Currently, he is a Full Professor in the Department of Computer Science and Artificial Intelligence and director of the Andalusian Interuniversity Institute in Data Science and Artificial Intelligence (DaSCI) at the University of Granada.
During his career, Francisco combined his teaching activities with research projects in areas such as soft computing, data mining and decision-making. He has published more than 400 articles in scientific journals and has supervised 44 doctoral theses. Among his main contributions are the development of genetic algorithms and fuzzy logic, as well as the promotion of artificial intelligence research in Spain. He has received numerous awards, including the National Computer Science Award in 2010 and the Andalusian Medal in 2017. Francisco has also been a member of the Artificial Intelligence Advisory Council for the Spanish government since 2020 and has participated in scientific dissemination activities such as TED talks.

Guido Caldarelli
Guido Caldarelli is an Italian physicist and academic researcher who has contributed significantly to the study of complex systems and the science of networks. He specializes in the use of statistical physics to understand the structure and dynamics of networks, including social, economic, and biological systems. Caldarelli obtained his degree in Physics from the University of Rome La Sapienza in 1992 and his doctorate from the International School of Advanced Studies (SISSA) in Trieste in 1996. He subsequently performed postdoctoral studies at the Universities of Manchester and Cambridge in the United Kingdom.
During his career, he has published numerous research articles and books on network theory, exploring the interrelationship between complex systems and real-world applications. Currently, he is a professor at the Ca 'Foscari University of Venice and director of the Institute of Complex Systems of the National Research Council of Italy. Guido Caldarelli has also been the coordinator of several European projects on complex networks and has received multiple awards for his scientific work, including the Network Society Fellowship in 2019 and the Network Society Service Award in 2020.

Luigi G. Occhipinti
Director of Research in Smart Electronics, Biosystems and Artificial Intelligence.
Director of Facilities Electrical Engineering, Nanoscience and Cambridge Graphene Centers, Department of Engineering, University of Cambridge, Cambridge (UK).
Luigi Occhipinti is a leading researcher and academic in the fields of intelligent electronics, biosystems, and artificial intelligence. He graduated in electronic engineering from the University of Catania in 1992 and obtained his doctorate from the University of Rome "Tor Vergata" in 1996. Since April 2014, he has been the Director of Research in Smart Electronics, Biosystems and AI in the Department of Engineering at the University of Cambridge, where he has also directed the facilities of the Division of Electrical Engineering, the Center for Nanoscience and the Center for Graphene in Cambridge.
With more than 25 years of experience in industry and academia, Luigi has developed emerging technologies in areas such as heterogeneous integration of intelligent systems, printed and polymer electronics, and advanced molecular diagnostic systems. He has published more than 150 scientific articles and is the inventor or coinventor of more than 90 patents. His research focuses on advanced materials and integration technologies for smart sensors, integrated biosystems, and AI applications in healthcare, industrial sustainability, and environmental monitoring. His work has been recognized with numerous awards and mentions, highlighting its impact on technological innovation and the creation of new products and technological platforms.

Natalia Trayanova
Murray B. Sachs Professor of Biomedical Engineering. Professor of applied mathematics and statistics. Director of the Alliance for Cardiovascular Diagnostic and Treatment innovation (ADVANCE). Director of AI Research: Health and Medicine, Data Science and AI Institute. Johns Hopkins University, Baltimore (USA).
Natalia Trayanova is Professor of Biomedical Engineering at Johns Hopkins University, where she holds the Murray B. Sachs Chair. She is also Professor of Medicine at Johns Hopkins School of Medicine and Professor of Applied Mathematics and Statistics. She leads the Alliance for Cardiovascular Diagnostic and Treatment Innovation, a research center that applies innovative engineering and artificial intelligence approaches to cardiovascular health. Additionally, she is Director of AI Research for Health and Medicine at the Johns Hopkins Institute for AI and Data Science.
Dr. Trayanova is internationally recognized for her leadership in the computational modeling of cardiac electrophysiology and arrhythmias. She has developed personalized digital twins of the heart using clinical images to model the functioning of the diseased organ. With these digital twins and deep learning approaches, new technologies have been created to predict the risk of cardiac arrest and improve the accuracy of catheter ablation therapies. Her work has been published in prestigious journals such as The Lancet and Nature Cardiovascular Medicine and she has received numerous awards, including the NIH Director's Pioneer Award and the Distinguished Scientist Award from the Heart Rhythm Society.
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