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Joseph Frassica
Digital Biomarkers in Pediatrics
October 18, 2018
12:00 PM - 1:30 PM US Eastern Time
Rockledge II, 6701 Rockledge Drive, Room 9100/9104, Bethesda, MD

Webinar Description

The WHO defines a biomarker as "any substance, structure or process that can be measured in the body or its products and influence or predict the incidence of outcome or disease.” To date, most biomarkers have been substances measured in the blood, tissues or exhaled breath.  The development of electronic systems that measure and collect patient data has given rise to an extension of the range of potential biomarkers into the digital space. In recent years, the availability of electronically available phenotypic data as well as high resolution physiologic data has allowed the development of digital biomarkers that can be combined with traditional biologic biomarkers to produce better performing predictors of disease trajectory and outcome than is achievable with either biomarker type alone.

Digital biomarker discovery is often undertaken through the use of large data sets combined with AI/Machine Learning techniques.  Data is the lifeblood of this type of machine learning and artificial intelligence and thus large data sets are essential to the process of digital biomarker discovery. Digital biomarkers and predictive algorithms derived from large data sets offer clinicians the potential to catch a glimpse into the future trajectory of a patient’s physiology or disease state.

In this presentation, Dr. Frassica will explore the collection and dissemination of high-resolution patient data sets that support these discoveries and will briefly review developing global trends with regard to the use and dissemination of such large-scale patient data. Examples from work with both pediatric biomarker discovery and adult data will be shared.

The speaker will also present examples of digital biomarkers and predictive algorithms discovered through the use of extremely large data sets of high-resolution physiologic and clinical data. He will review the opportunities and potential pitfalls presented by these types of data through a review of a failed attempt at creating a predictive algorithm and a subsequent successful re-attempt to solve the same problem.

Learning Objectives

Coming soon!

Presenter Bio

Joe Frassica_Photo2

Joseph Frassica, MD, is Head of Philips Research, the Americas and Chief Medical Officer Philips North America where he focuses on leading broad-based medical, science and technology teams to bring clinically meaningful innovation to the bedside. Joe also serves as senior consultant in Pediatric Critical Care at the Massachusetts General Hospital and is Professor of the Practice at the Institute for Medical Engineering and Science at Massachusetts Institute of Technology. 

Prior to joining Philips, Joe served in leadership roles in academic medicine including: chief medical officer at Holtz Children’s Hospital in Miami, Florida; chief medical information officer and executive medical director of Aero-Medical Transport for the Jackson Health System; associate chair for clinical affairs in the department of pediatrics and professor of clinical pediatrics and anesthesiology at the University of Miami, Miller School of Medicine; chief of pediatric critical care at UMASS/Memorial Medical Center and associate clinical professor of pediatrics at University of Massachusetts Medical School; attending pediatric intensivist at Massachusetts General Hospital; attending anesthesiologist at the Massachusetts Eye and Ear Infirmary and chief of anesthesia at Franciscan Children’s Hospital in Boston.


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