Please join the Miller School of Medicine (MSOM) Department of Informatics and Health Data Science and the Media and Innovation Lab (The MIL) in welcoming Dr. Alexander Brost for a cutting-edge presentation on how AI is revolutionizing the radiology. Read more “Dr. Alexander Brost on How AI is Revolutionizing Radiology 10/23”
Join us for another “Data Citizens: A Distinguished Lecture Series” talk featuring Dr. Zahi A. Fayad, the Lucy G. Moses Professor of Medical Imaging and Bioengineering at the Icahn School of Medicine at Mount Sinai. He is also a Professor of Radiology (Vice-Chair for Research) and a Professor of Medicine (Cardiology). Dr. Fayad is the founding Director of the BioMedical Engineering and Imaging Institute (ranked 15th in 2021 NIH funding in the field of Radiology).
Data Citizens: A Distinguished Lecture Series is an ongoing course of in-depth talks by experts in the field of data science on a wide variety of topics. The series is co-sponsored by the Miami Clinical and Translational Science Institute (CTSI), and is free and open to the public.
Via Zoom or in person at University of Miami, Richter Library, Conference Room 343 (Third Floor), 1300 Memorial Drive, Coral Gables, FL 33146 | Map + Directions
TALK TITLE “Advancements in Whole Person Research, Mobile/Digital Health, and Immuno-Imaging/Therapy”
ABSTRACT The starting point of personalized patient care is collection and processing of deep (omics, flow cytometry, advanced imaging, etc) and longitudinal/continuous data (medical records and labs, wearables, apps etc). Advancements in mobile health, in artificial intelligence and its derivative techniques as well as in quantitative high-resolution whole body imaging at the molecular level (e.g., PET/MR, immuno-PET, etc) are being leveraged for this systems medicine approach to healthcare. Finally, immuno-based therapies (e.g, innate trained immunity targeted) using nanobiologics are being tested as new potential personalized cures for cardiovascular disease.
ABOUT ZAHI A. FAYAD, PhD, FAHA, FACC, FISMRM
Dr. Fayad’s research has been dedicated to the detection and prevention of cardiovascular disease with many seminal contributions in the field of multimodality biomedical imaging (MR, CT, PET and PET/MR) and nanomedicine. Recent collaborative work has been in: 1) the study of psychosocial stress exposure in the brain, the cardiovascular system and the immune system; 2) the development of platform nanotechnology to produce nanobiologics for immunotherapy in multiple disease conditions; 3) the development of the Mount Sinai Imaging Research Warehouse (de-identified, pseudo-anonymized images and metadata) as a unique repository of radiological imaging/reports for focused imaging and general healthcare research; 4) Covid data and data science research by co-founding the Mount Sinai COVID Informatics Center now known as the Mount Sinai Clinical Intelligence Center; 5) the use of mobile health (wearables and apps) for the study of disease and the deployment of digital therapies like the Warrior Watch and Warrior Shield programs.
He is Guest Editor for the Journal of the American College of Cardiology Imaging (JACC Imaging), Section Editor for Journal of the American College of Cardiology (JACC), Consulting Editor for Arteriosclerosis Thrombosis and Vascular Biology (ATVB), Guest Editor for the Journal of Cardiovascular Magnetic Resonance (JCMR) and past Associate Editor of Magnetic Resonance in Medicine (MRM). From 2013-2017, he served as Charter Member, NIH Center of Scientific Review, Clinical Molecular Imaging and Probe Development Study Section. In 2015, he chaired the Scientific Advisory Board of the Institut National de la Santé et de la Recherche Médicale (INSERM) PARCC program at the HEGP in Paris.
Dr. Fayad has authored more than 400 peer-reviewed publications (h-index of 123 accessed 08/01/2022 on Google Scholar with over 142,000 citations), 50 book chapters, and over 500 meeting presentations. He is currently the Principal Investigator of multiple federal, foundation and industry grants including 6 grants (5 R01s, 1 P01) funded by the National Institutes of Health’s National Heart, Lung and Blood Institute and National institute of Biomedical Imaging and Bioengineering. In 2021, Dr. Fayad ranked in top 10 in NIH research overall funding in the field of Radiology.
Dr. Fayad had his engineering trainings at Bradley University (BS, Electrical Engineering ’89), the Johns Hopkins University (MS, Biomedical Engineering ‘91), and at the University of Pennsylvania (PhD Bioengineering ’96). From 1996 to 1997 he was junior faculty in the Department of Radiology at the University of Pennsylvania. In 1997 he joined the faculty at the Mount Sinai School of Medicine as Assistant Professor in Radiology and Medicine (Cardiology).
As a teacher and mentor, Dr. Fayad has been also extremely successful. He has trained over 100 postdoctoral fellows, clinical fellows and students. His trainees have received major awards, fellowships, and positions in academia and industry.
Dr. Fayad is the recipient of multiple prestigious awards including, but not limited to Fellow American Heart Association (2001), British Medical Association Book Award (2004), Fellow American College of Cardiolgy (2005), the John Paul II Medal, Krakow Poland (2007), Outstanding Teacher Award from the International Society of Magnetic Resonance in Medicine (2008), Honorary Professor of Nanomedicine, Aarhus Univ, Denmark (2009), Opening speaker at the 97th Scientific Assembly and Scientific meeting of the Radiological Society of North America (2011), Henry I Russek Lecture at the 45th Anniversary of the ACCF New York Cardiovascular Symposium (2012), Fellow International Society of Magnetic Resonance in Medicine (2013), Academy Radiology Research Distinguised Investigator (2013), Distinguished Reviewer award from Magnetic Resonance in Medicine (2013), Centurion Society Medal from Bradley University (2014), the Editor’s Recognition Award, from the journal Radiology (2014), and the Lucy G. Moses Professor of Biogengeering & Medical Imaging (2015), Dr. Joseph Dvorkin Memorial Lecturer at the Cardiac Research Day of the Mazankowski Alberta Heart Institute, University of Alberta, Edmonton, Canada (2015), Heart & Stroke/Richard Lewar lecturer at the Center of Excellence in Cardiovascular Research in Toronto (2016), Dr. Fayad’s work on stress, the immune system and cardiovascular disease published in the Lancet was featured in the Altmetric Top 100 (2017), Highly Cited Researchers by Clarivate Analytics (2018, 2019, 2020, 2021,2022), Mount Sinai Jacobi Medallion Award (2019).
He is married to Monique P. Fayad, MBA and is the proud father of Chloé (20 year old) and Christophe (16 year old) and after spending seven years in Manhattan now lives in Larchmont, runs in Central Park and participates regularly in New York Road Runners races. He also enjoys sailing and stand-up board paddling in Larchmont, New York, Connecticut, Rhode Island, Cape Cod, Martha’s Vineyard, Nantucket, the Caribbean Islands and beyond. He practices all type of daily fitness regimens (while wearing different sensors) that include strength (power and olympic lifting), cardiovascular, core, flexibility and high intensity interval trainings for fun and to stay healthy.
Join us for another “Data Citizens: A Distinguished Lecture Series” talk featuring Dr. Zahi A. Fayad, the Lucy G. Moses Professor of Medical Imaging and Bioengineering at the Icahn School of Medicine at Mount Sinai. He is also a Professor of Radiology (Vice-Chair for Research) and a Professor of Medicine (Cardiology). Dr. Fayad is the founding Director of the BioMedical Engineering and Imaging Institute (ranked 15th in 2021 NIH funding in the field of Radiology). Read more “Mount Sinai’s Dr. ZAHI FAYAD speaks on 1/11 4-5PM | Data Citizens Distinguished Lecture Series”
Over the years, new technology has helped Radiologists diagnose illness, but it has also changed their jobs. To diagnose illness in the past, physicians spent time speaking with patients. Today, they spend more time scrutinizing images, patient electronic medical records, and other data sources. Read more “Using Advanced Computing to Create AI-ML Diagnosis Toolbox”
By applying artificial intelligence (AI) tools to detect patterns in cellular and radiology images, a nationally respected data scientist is advancing clinicians’ ability to deliver precision medicine to their cancer patients. Read more “Catch the Replay: Anant Madabhushi on AI Advances in Precision Medicine”
IDSC Innovation Officer Dr. Yelena Yesha will be a featured speaker at the 35th International FLAIRS (the Florida Artificial Intelligence Research Society) Conference co-hosted by Charles University Faculty of Mathematics and Physics and the University of Miami College of Arts & Sciences, Read more “Dr. Yelena Yesha Featured Speaker at FLAIRS-35 5/15-18”
Join us for another “Data Citizens: A Distinguished Lecture Series” talk on AI in Precision Medicine featuring Dr. Anant Madabhushi. Dr. Madabhushi is the Donnell Institute Professor, Biomedical Engineering, at Case School of Engineering, and the Director for the Center for Computational Imaging & Personalized Diagnostics at Case Western Reserve University. Read more “Data Citizens Distinguished Lecture Series presents Anant Madabhushi 5/4”
Join us for another “Data Citizens: A Distinguished Lecture Series” talk on AI in Precision Medicine featuring Dr. Anant Madabhushi. Dr. Madabhushi is the Donnell Institute Professor, Biomedical Engineering, at Case School of Engineering, and the Director for the Center for Computational Imaging & Personalized Diagnostics at Case Western Reserve University. Read more “Data Citizens Distinguished Lecture Series presents Anant Madabhushi 5/4”
IDSC Innovation Officer Dr. Yelena Yesha will be a featured speaker at the 35th International FLAIRS (the Florida Artificial Intelligence Research Society) Conference. Her talk title, bio, and abstract are below. Read more “Dr. Yelena Yesha Featured Speaker at FLAIRS Conference 5/15-18”
For years, many radiologists have feared that advances in data science could put them out of a job, as artificial intelligence (AI) tools become increasingly adept at reading diagnostic medical images. But Eliot Siegel, M.D., Professor of Radiology and Vice Chair of Research Information Systems at the University of Maryland School of Medicine in Baltimore, doesn’t believe AI technology will replace radiologists any time soon. Read more “Catch the Replay of Dr. Eliot Siegel’s Data Citizens Lecture on YouTube”