PHIND Seminar Series: Sensor systems to predict, prevent and cure cardiovascular disease
11:00am – 12:00pm Seminar & Discussion
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Zoom Webinar Details
Webinar URL: https://stanford.zoom.us/s/91758136978
Dial: US: +1 650 724 9799 or +1 833 302 1536 (Toll Free)
Webinar ID: 917 5813 6978
Passcode: 206977
Seraina A. Dual, DSc
Postdoctoral Scholar, Radiological Sciences Laboratory (RSL)
Department of Radiology
Stanford University
Abstract
Sensor systems are poised to transform the delivery of health care enabling smart and connected medical treatments and services. Cardiovascular disease affects one-third of individuals worldwide – negatively impacting their quality of life, and resulting in a significant cost for society (economic cost of €210 billion/year). Although the last decade has seen tremendous advances in treatment options for patients with early cardiac disease, we are now witnessing an epidemic of heart failure with a rising incidence in the general population worldwide (2–7%). Prediction of the onset of the heart failure is crucial to initiate preventative treatments and enable cure. At the same time, we are witnessing the advent of digital health as an innovative technology that enables access to health data in real-time, not only through bedside monitors, but also from wearables and implantable devices. Addressing clinical needs, engineers can leverage this opportunity by combining sensors and algorithms into smart systems: Implantable sensors let us monitor heart health continuously allowing timely clinical intervention; Advanced signal processing and machine learning tools improve the sensitivity of imaging systems resolving detailed heart anatomy more automatically; Test rigs equipped with sensors help us to predict the interaction of medical devices with the cardiovascular system. In the future, sensor systems will combine information, communicate data to the clinician and the patient, and finally enable cure via artificial organs with integrated control systems. In this way, sensor systems provide access to a person’s health, thus facilitating early detection and timely clinical intervention in high risk patients with heart failure.
About Seraina A. Dual
Seraina A Dual is currently a post-doctoral fellow at the Departments of Radiology and by courtesy in the Department of Mechanical Engineering at Stanford University. She is working on the design of soft robotic medical devices using cardiac magnetic resonance imaging with Prof. Daniel Ennis, and in close collaboration with Prof. Alison Marsden. Dual trained as a Mechanical Engineer at the Federal Institute of Technology in Zurich, Switzerland (ETH Zurich) obtaining a Bachelor’s and Master’s degree in Biomedical Engineering, Robotics and Control, and earned her PhD in the Product Development Group focusing on sensor systems for cardiovascular applications in the Zurich Heart Project. She conducted cutting edge research in implantable sensor technologies in collaboration with the Voroes Group at ETH Zurich, the German Heat Center in Berlin, Germany, and the St. Vincent’s Hospital Sydney, Australia. She has authored publications in prestigious journals across the fields of Cardiac Surgery, Medical Devices, Artificial Organs, Implantable Sensors, Signal processing, and MRI. Inspired by engineering she aims to enhance human health.
Hosted by: Garry Gold, MD
Sponsored by: PHIND Center & the Department of Radiology