Dr. Yelena Yesha will be a featured keynote speaker at Vanderbilt University for MIDL 2023 (Medical Imaging with Deep Learning) being held in Nashville, Tennessee on July 10-12, 2023. Read more “Dr. Yelena Yesha Keynotes Day 2 of MIDL 2023 Conference 7/11”
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.
Wednesday, January 11, 2022 | 4:00-5:00 PM
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”
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”
Join us on Wednesday, November 10, 2021, 4:00-500 PM, for a “Data Citizens: A Distinguished Lecture Series” talk featuring Dr. Eliot Siegel, Professor and Vice-Chair of Research Information Systems at the University of Maryland School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, and Chief of Radiology and Nuclear Medicine for the Veterans Affairs Maryland Health Care System, both in Baltimore, MD.
Read more “Data Citizens Lecture Series presents renowned Radiologist Eliot Siegel 11/10 4PM”
Join us on Wednesday, November 10, 2021, 4:00-500 PM, for a “Data Citizens: A Distinguished Lecture Series” talk featuring Dr. Eliot Siegel, Professor and Vice Chair of Research Information Systems at the University of Maryland School of Medicine, Department of Diagnostic Radiology and Nuclear Medicine, and Chief of Radiology and Nuclear Medicine for the Veterans Affairs Maryland Health Care System, both in Baltimore, MD. Read more “DATA CITIZENS Lecture Series presents renowned Radiologist Dr. Eliot Siegel 11/10”
Abstract Treating disease according to precision health requires the individualization of therapeutic solutions as a cardinal step that is part of a process that typically depends on multiple factors. Read more “From Medical Imaging to Radiomics: Role of Data Science for Advancing Precision Health”
Human cancers exhibit phenotypic diversity that medical imaging can precisely and non-invasively detect. Multiple factors underlying innovations and progresses in the medical imaging field exert diagnostic and therapeutic impacts. Read more “Role of Complex Networks for Integrating Medical Images and Radiomic Features of Intracranial Ependymoma Patients in Response to Proton Radiotherapy”
Artificial intelligence (AI) has great potential to augment the clinician as a virtual radiology assistant (vRA) through enriching information and providing clinical decision support. Deep learning is a type of AI that has shown promise in performance for Computer Aided Diagnosis (CAD) tasks. A current barrier to implementing deep learning for clinical CAD tasks in radiology is that it requires a training set to be representative and as large as possible in order to generalize appropriately and achieve high accuracy predictions. Read more “Yelena Yesha Lecture 2/5/2020 on Medical Imaging”