2019 Edition

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The Program

Day 1 - Plenary Session

14:30Registration
15:00Opening ceremonyR. Barbieri, M. Cecconi, L. Celi, A. Girbes
15:15Introduction: Collaborate to innovateSpeaker: M. Cecconi
15:30Session 1: Key players, new frontiersChairs: M. Cecconi, A. Girbes
> Physicians: the need for machine learningSpeaker: G. Meyfroidt
> Data analysts: why invest in intensive care medicine?Speaker: M. Flechet
> The emergence of hybrid professional roles and interdisciplinaritySpeaker: L. Celi
16:50Coffee break
17:20Session 2: The healthcare data industryChairs: M. Flechet, G. Meyfroidt
> Thinking about data interpretation and clinical context techniques as a form of dataSpeaker: J. Hersh (GE Healthcare)
> AI to support monitoring data analyticsSpeaker: C. Samaranayake (Philips)
> Predictive monitoring: the hypotension prediction Index (HPI)Speaker: F. Hatib (Edwards Lifesciences)
18:40Overview of the next two daysSpeaker: R. Barbieri, M. Cecconi
19:00Welcome cocktail

Day 2 - The Big Datatalk

08:00Registration
08:25Welcome to ESICM’s Big DatatalkSpeaker: A. Girbes Chair: M. Cecconi
08:40Session 3: Advanced data analysisChairs: J. De Waele, A. Girbes
> AI & machine learning for clinical predictive analyticsSpeaker: M. Ferrario
> New meaning to observational studiesSpeaker: S. Finazzi
> Predictive models and clinical supportSpeaker: G. Meyfroidt
10:00Coffee break
10:30SurveySpeaker: S. Falini
10:40Demo session 1Chairs: R. Barbieri, C. Cosgriff
> Medical data science 101Speaker: M. Komorowski
11:40Session 4: Digital records and securityChairs: A. Ercole, M. Ferrario
> State of the art of EMRs in EuropeSpeaker: T. Kyprianou
> GDPR and pseudonymizationSpeaker: D. Fulco, A. Di Stasio
> Blackout: when IT failsSpeaker: C. Hinske
13:00Lunch break
14:00Demo session 2Chairs: G. Angelotti, M. Komorowski
> Prediction and deep learningSpeaker: A. Ercole
15:00Session 5: Data qualityChairs: S. Falini, T. Kyprianou
> The issue of data qualitySpeaker: S. Vieira
> Harmonization of data sourcesSpeaker: B. Illigence
> Making sense of a big data messSpeaker: H. Hovenkamp
16:20Coffee break
16:50Special sessionChairs: G. Meyfroidt, S. Vieira
> Once upon a time: the story of MIMICSpeaker: R. Mark
17:15Midterm presentationsChairs: R. Barbieri, L. Celi
18:15End of day 2

Day 2 - The Datathon

08:00Registration
08:30Welcome to the datathon
08:40Datasets and tools
> Intro to MIMIC & eCRD
> The Google Cloud interface
09:30Pitches
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10:30Separate coffee break
11:00Datathon
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13:00Lunch break
14:00Datathon
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16:20Coffee break
16:50Datathon
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17:15Midterm presentations
18:15End of day 2

Day 3 - The Big Datatalk

08:00Session 6: Current applicationsChairs: J. De Waele, R. Furlan
> Hemodynamics in septic shockSpeaker: G. Baselli
> Neurointensive careSpeaker: A. Ercole
> Reinforcement learning in sepsisSpeaker: M. Komorowski
09:20Coffee break
09:50Demo session 3Chairs: A. Ercole, P. Morandini
> Gradient-boosted decision treesSpeaker: C. Cosgriff
10:40Session 7: Present and futureChairs: A. Girbes, C. Hinske
> Clinical research and AISpeaker: R. Furlan
> Moving models to the bedsideSpeaker: P. Thoral
> The future: physicians, engineers, machinesSpeaker: R. Barbieri
12:00Lunch break

Day 2 - The Datathon

08:00Datathon
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09:20Coffee break
09:50Datathon
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12:00Presentations deadline
12:00Lunch break

Day 3 - Plenary Session

13:00Final presentationsChairs: R. Barbieri, L. Celi
15:00Jury deliberation / Coffee break
15:25Awards announcementHosts: R. Barbieri, M. Cecconi, L. Celi, A. Girbes
15:50Closing ceremonyHosts: R. Barbieri, M. Cecconi, L. Celi, A. Girbes
16:00End of day 3

The Speakers of the Big Datatalk

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Maurizio Cecconi

Maurizio is Full Professor of Anesthesia and Intensive Care Medicine at Humanitas University and the Head of Department at the Humanitas Research Center in Milan. He previously worked as Reader and Clinical Director at the Adult Critical Care Department of St George's Hospital and University of London. He has been very active in clinical research in Intensive Care, Anesthesia, Perioperative and Emergency Medicine, focusing on hemodynamic monitoring and optimisation, physiology of the critically ill patient, and epidemiology of perioperative outcomes. He served as Chair of Scientific Affairs of the European Society of Intensive Care Medicine and has recently been appointed President-elect for 2020-2021.
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Riccardo Barbieri

Riccardo obtained his Master's degree in Electronic Engineering from La Sapienza University in 1992 and a PhD in Bioengineering from Boston University in 1998. He served as Research Affiliate at MIT, Assistant Professor of Anesthesia at Harvard Medical School, and Assistant in Biomedical Engineering at Massachusetts General Hospital. In 2014 he became Associate Professor at Politecnico di Milano. His research interests include: mathematical modeling of biological systems (especially cardiovascular and both central and autonomic nervous systems) and biomedical signal processing, with emphasis on cardiovascular control and variability, EEG, Evoked Potentials, and single cell neuronal recordings.
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Leo Anthony Celi

Leo has practiced medicine in three continents, giving him broad perspectives in healthcare delivery. He is one of the course directors for "Global health informatics to improve quality of care", and "Secondary analysis of electronic health records", both at MIT. As principal research scientist at the Laboratory of Computational Physiology, he brings together clinicians and data scientists to support research using data routinely collected in the ICU. Finally, Leo founded and co-directs Sana, a cross-disciplinary organization based at the Institute for Medical Engineering and Science whose objective is to leverage information technology to improve health outcomes in low- and middle-income countries.
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Armand Girbes

Armand is a Full Professor and Head of Department of Intensive Care Medicine at the Vrije Universiteit in Amsterdam. He also qualified as Clinical Pharmacologist and continues activities in this field. Armand has performed many organizational tasks, both on a national and international level and contributed to several guidelines on IC organization and treatment. He served as international advisor for the Irish Healthcare Authorities and as General Secretary of the European Society of Intensive Care Medicine. He is currently working on making it possible for intubated patients to actually speak.
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Jan De Waele

Jan is a surgery-trained intensivist with a specific interest in infections in critically ill patients and works at the surgical ICU of the Ghent University Hospital in Belgium. Hs clinical interests include infections and abdominal catastrophes such as the abdominal compartment syndrome. His research activity currently focuses on optimizing antibiotic therapy in severely ill infected patients to improve outcome and combat resistance development. He is also active in several societies: he served as president of the Belgian Society of Intensive Care Medicine and has recently been appointed as Chair of ESICM's Research Committee, after a mandate in the Infection Section.
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Ari Ercole

Ari became an anaesthetist after completing a PhD in Physics. He currently works as Lecturer and Consultant Anaesthetist at the University of Cambridge, and divides his time between clinical work, teaching and research. His clinical interest is in resuscitation, management of major trauma, and prehospital care. He has a particular research focus on applications of systems biology in intensive care medicine and anaesthesia. He is particularly interested in measurement and modelling cerebral perfusion, oxygenation and metabolism after traumatic brain injury. He has recently been nominated Chair of the Technology Assessment and Health Informatics group of the European Society of ICM.
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Geert Meyfroidt

Geert is Associate Professor of Medicine and Consultant Intensivist at the University of Leuven (KU). In 2010 he finished his PhD, entitled “Computerized data management in ICU: predictive modeling, time series analysis, and opportunities for support of care”. Neuro-intensive care is his main research field, with special interest in data mining and mathematical modeling for knowledge discovery, early warning systems and outcome prediction. Current projects include predictive modeling in neuro-intensive care and acute kidney injury, cerebrovascular autoregulation, ketamine in brain injured patients; nutrition and blood glucose control. He is president-elect of the Belgian Society of Intensive Care Medicine (SIZ).
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Matthieu Komorowski

Matthieu is a practicing clinician, holding full board certification in Anaesthesia and Critical Care in both France and the UK. He is a PhD student in Medicine and Bioengineering at the Imperial College London, a visiting scholar at the Massachusetts Institute of Technology, and an affiliate of Harvard University, where he taught Artificial Intelligence in Healthcare. His work on reinforcement learning applied to sepsis resuscitation was awarded the first prize of Research and Innovation by the British Royal Society of Medicine and was recently published in Nature Medicine.
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Marine Flechet

Marine holds a master’s degree in Biomedical Engineering from the University of Liège, Belgium, and the École Polytechnique Fédérale de Lausanne, Switzerland. Her work on the application of artificial intelligence for glucose control in intensive care, in collaboration with the University of Canterbury, New Zealand, was awarded twice the prize of the best master’s thesis in (Biomedical) Engineering (AILg and AIM). In November 2018, Marine will defend her PhD in Biomedical Sciences from the University of Leuven, Belgium. In her PhD, she developed prediction models for acute kidney injury and traumatic brain injury in critical illness, and translated these models into bedside clinical applications.
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Theodorus Kyprianou

Theodorus is consultant physician in Respiratory & Intensive Care Medicine in Cyprus and the UK. He serves as Associate Professor at St Georges' University of London and University of Nicosia, and has been the founding Head of the Department of Intensive Care at Nicosia General Hospital. He has long-standing interest in the applications of Informatics in ICM. He is a coordinator of the Applied Health Informatics & Telemedicine program at the Open University of Cyprus and served as Chair of the Technology Assessment & Health Informatics workgroup and of the e-Learning Committee at ESICM. He is currently member of the standing program committee of EU HORIZON 2020 based in Brussels.
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Susana Vieira

Susana received her PhD in Mechanical Engineering in 2010 from Instituto Superior Técnico in Lisbon. She was Invited Teacher at the Erasmus University of Rotterdam in 2009, and Visiting Scholar at MIT in 2014. She is Assistant Professor at University of Lisbon and Senior Researcher at the Center of Intelligent Systems since 2012. Her main research area is Soft Computing: feature selection, fuzzy modeling, fuzzy optimization and metaheuristics. Her research focuses on computational intelligence methods for knowledge data discovery, to identify factors or features that lead to unfavorable clinical conditions of ICU patients, and design specific decision models that support clinicians’ decisions.
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Diego Fulco

Diego is a certified lawyer enrolled in the Bar of Milan since 1997 and is partner of Net for Legal. He works as consultant for large societies including multinational corporations. He provides legal advice as expert of technology and communication right, personal data protection, pharmaceutical right, insurance right and administrative business resposponsibility (231), outsourcing and computer contracts, and protection of industrial and intellectual property in the digital field. He is professor of Diritto per l'impresa e la comunicazione digitale at the IULM University in Milan. He is the Scientific Director of the Istituto Italiano Privacy, and member of the Scientific Committee of ANORC Professioni.
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Hidde Hovenkamp

Hidde is one of the founders of Pacmed, a start-up that builds decision support software based on machine learning and medical expertise. Pacmed works together with several hospitals in the Netherlands in building algorithms for improving the intensive care, oncology and treatment of chronic diseases. Hidde has worked as a data science consultant, he is responsible for the algorithm development at Pacmed and leads the intensive care team.
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Manuela Ferrario

Manuela received her PhD degree in Bioengineering in 2007 and is currently Assistant Professor at Politecnico di Milano. She collaborated with the Renal Research Institute in New York, San Bortolo Hospital in Vicenza, Università Tor Vergata in Rome and San Raffaele Hospital in Milan. Her research interests include mathematical modeling of physiological systems, signal processing, non linear and variability analysis of cardiovascular signals, data mining and prediction models. Her current work involves metabolomics and integration of multilevel data for septic shock patients and animal models of circulatory shock. She is on the boards of Physiological Measurement and Scientific Reports.
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Chris Hinske

Chris is a board-certified Anaesthesiologist with years of cardio- and neurosurgical ICU experience and a Master's degree in Biomedical Informatics from MIT. He is an attending physician and Head of the Perioperative Medical Informatics group at the Department of Anesthesiology of the Ludwig-Maximilians-University Hospital in Munich. His research interests span from bioinformatics models to explore the role of intragenic miRNAs to medical data modeling to improve perioperative patient care. He is involved in the organization of an ICU datathon in Munich in 2019 (www.datathon-munich.de).
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Giuseppe Baselli

Giuseppe got his MSc degree in Electrical Engineering at the Politecnico di Milano in 1983, cum laude. Since 2001 he is professor in Bioengineering at the same university. He previously served as director of the Biomedical Engineering program, of the Department of Bioengineering, and as coordinator of the Bioengineering Section of the new Department of Electronics, Information and Bioengineering. He is an EAMBES Fellow. He teaches a course on Bioengineering for Physiological Control Systems and one on Methods for Biomedical Images. His research interests are in the field of biomedical signal processing and its link with linear and non-linear modeling of cardiovascular regulation, image reconstruction in oncology and neuro-imaging including functional and anatomical connectivity and vascular regulation.
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Stefano Finazzi

Stefano is the Head of the Unit of Medical Statistics and Mathematical Physiology at Mario Negri Institute for Pharmacological Research - IRCCS, Milan. He graduated in Physics at Scuola Normale Superiore di Pisa in 2007 and obtained a PhD in Astrophysics in 2011 and a PhD in Life and Biomolecular Sciences in 2018. His current research interests include: mathematical modeling of pathophysiological mechanisms in critically ill patients, evaluation of the quality of care, and data management of large databases from electronic health records.
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Patrick Thoral

Patrick is a Consultant Intensivist at Amsterdam UMC where he is responsible for the implementation of EHRs in the ICU. He has worked in close collaboration with the Hospital Pharmacy of Amsterdam UMC, the department of Computational Intelligence of Vrije Universiteit of Amsterdam and private data science companies to develop and implement multiple models including optimal dosing of antibiotics and anti-coagulants and prediction of core ICU outcome measures including ICU readmission, mortality, reintubation rates and kidney injury. His recent project with the start-up Pacmed “machine learning to prevent ICU readmission” was awarded the Dutch Digital Impact Award 2018.
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Adrian Wong

Adrian is a consultant in Intensive Care Medicine and Anaesthesia in Oxford University Hospitals NHS Foundation Trust having completed a fellowship in critical care ultrasound. Graduating in 2003 from Guys and St Thomas Hospital School of Medicine, he gained MRCP before completion of Intensive Care and Anaesthetic training in 2014 in the Wessex Deanery. He is a member of the Intensive Care Society CUSIC Committee and an examiner for the European Diploma of Intensive Care Medicine. He also serves as a member of the ESICM Clinical Training Committee. His current areas of interest include clinical governance, critical care ultrasound and the use of social media in medical education.
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Roger Mark

Dr. Mark is Distinguished Professor of Health Sciences and Technology of Electrical Engineering and Computer Science at MIT. He trained in internal medicine at Harvard Medical Unit, Boston City Hospital and spent two years in the US Air Force Medical Corps studying the biological effects of laser radiation. He has taught quantitative physiology to undergraduate and graduate engineering students at MIT. He is a fellow of the IEEE, of the American College of Cardiology, and a founder of the American Institute of Medical and Biological Engineering. He remains active in the practice of primary care, internal medicine and geriatrics for 20% of his time, and is Senior Physician at the Beth Israel Deaconess Medical Center.

The Mentors of the Datathon

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Cátia Salgado

Cátia received her MSc degree in Biomedical Engineering from University of Minho, Portugal, in 2012. She is now a PhD student in Bioengineering Systems at the Instituto Superior Técnico, University of Lisbon. Part of her PhD research was conducted at the Institute for Data, Systems and Society of MIT. Her thesis is titled “Data-based modeling for personalized medicine in the ICU”, and it is focused on the use of machine learning techniques to predict patient adverse events following admission to ICUs. More specifically, she works in fuzzy modeling and fuzzy clustering applied to health care systems.
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Christopher Sauer

Christopher obtained his Bachelor of Science in Medicine at Maastricht University in 2014, where he was a student representative of the University Council. In the meantime he participated in the Honor’s program in research with a special focus on oncology. For his thesis he was awarded the student price. He deepened his knowledge of oncology at the Dana-Farber Cancer Institute, focusing on Diffuse Large B-cell Lymphoma. He also holds a doctorate from RWTH Aachen University and a Master of Public Health from Harvard T.H. Chan. He currently works as a medical consultant at McKinsey &Company.
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Julien Dubiel

Julien is a Computer Science engineer and Data engineer at the Greater Paris University Hospitals (The AP-HP network, counting 40 hospitals). He works on gathering any kind of medical data into a Hadoop-based data-warehouse. He installs and creates databases and web-based interfaces to vizualize and query this data. He provides and tests all the tools needed to make it easier for researchers and data-scientists to work on very large datasets of clinical, physiological, and radiological... data.
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Marta Fernandes

Marta is a PhD candidate in Engineering Design and Advanced Manufacturing from the MIT Portugal Program since 2016. She focuses her research in applying Artificial Intelligence (AI) to healthcare data from the Emergency Departments and Intensive Care Units of Portuguese and US hospitals. Marta is a MSc in Mechanical Engineering and she has also done research in the fields of water management, wave energy and natural gas using AI. She has a keen interest in the development of innovative AI solutions to solve the world's most challenging problems.
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Subarna Shrestha

Subarna is an Internal Medicine physician at Beth Israel Deaconess Medical Center and an MPH candidate at the Harvard School of Public Health. He is passionate about global health and critical care medicine, as well as exploring machine learning and data science in its capacity to facilitate health care innovation especially in resource limited settings.
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Christopher Cosgriff

Christopher is a fourth-year medical student at New York University School of Medicine with a Master's degree in quantitative methods from the Harvard School of Public Health. He performs clinical data science research as part of MIT Critical Data with a focus on predictive modeling in the ICU setting. With his medical education, computer science background, and the research skills he developed at Harvard and MIT, his training allows him to bring modern approaches to bare in solving complex clinical problems.
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Laura Myers

Laura is a practicing pulmonary and critical care physician at the Massachusetts General Hospital in Boston, MA. She received her degree in medicine from Harvard Medical School and a master in public health from the T.H. Chan Harvard School of Public Health. She is currently completing the Harvard fellowship in quality/safety. Using large clinical and administrative databases, she conducts research on organizational factors that influence patient outcomes.
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Ming Yu Lu

Ming Yu is a Master's student of Biomedical Informatics at Harvard Medical School and graduated as a Medical Doctor from Kaohsiung Medical University in 2017. He also has years of experience as a full-stack engineer. He focuses his research interest in the implementation of the Electronic Health Records system and the utilization of clinical data for decision support. He is currently working on the application of machine learning model in ICU care.
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Stephanie Lanius

Stephanie completed a double Master's program in Electrical Engineering and Computer Science at RWTH Aachen University (Germany) and École Centrale Paris (France). For her thesis, she used machine learning algorithms to predict the outcome of fluid volume boluses. She currently works for Philips' Acute Care Solutions Department, where she develops recurrent neural networks for time series prediction. She is fascinated by the chances machine learning offers to advance medicine.
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Ryo Uchimido

Ryo is a research fellow at the Department of Emergency Medicine, Beth Israel Deaconess Medical Center. He received his medical degree from Toyama University School of Medicine in Japan, and completed his residency in Emergency Medicine at Tokyo Bay Medical Center. He is currently a candidate for the Master's program at Harvard T.H Chan school of Public Health. He research interests include sepsis biomarkers of sepsis and the application of machine learning to improve its treatment.
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Ashley Kras

Ashley is a final year Ophthalmology resident from Melbourne, Australia. He is currently undertaking a Master's of Bioinformatics at Harvard University. His research interests are in imaging diagnostics and harnessing big data to drive clinical decision support.
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André Felipe Duarte da Silva

André obtained his MSc in Biomedical Engineering at Instituto Superior Técnico in 2015 and is now completing his PhD in Bioengineering Systems from the MIT Portugal Program at the Laboratory of Computational Physiology (LCP). He is originally from the Centre of Intelligent Systems in Lisbon. He is currently working on the application of Machine Learning algorithms in Medicine, to develop predictive models that can be applied in clinical practice. He uses several classification models such as Bayesian networks and fuzzy modelling to explore the effect of several complications on the survival of patients in the ICU as well as faster and more robust ways of identifying critical events before they happen.
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Yueh-Hsun Chuang

Yueh-Hsun Chuang works in the National Taiwan University Hospital as an anesthesia physician and assistant professor. His clinical specialties are critical care medicine, cardiovascular and respiratory problems. He is interested in researches about ultrasound, molecular image, and artificial intelligence applications for data and image analysis.
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Haroun Chahed

Haroun is a third-year student at Yale-NUS College in Singapore majoring in Mathematical, Computational, and Statistical Sciences. He is currently spending a semester at Harvard University. Haroun is passionate about data science, public health, and entrepreneurship. He has worked with the Health Sciences Authority where he developed an ETL system from a Singapore healthcare database to the Common Data Model developed by Observational Health Data Sciences and Informatics. He is currently working with the Harvard Open Data Project.

Event Dates
January 31 – February 2, 2020
(Friday to Sunday)

Location
Humanitas Research Hospital
Via Manzoni 56, Rozzano (Milan) – Italy

Contacts
sponsor@dat-icm-milan.com
info@dat-icm-milan.com