Large volumes of heterogeneous data are now routinely collected and archived from patients in a variety of clinical environments, to support real-time decision-making, monitoring of disease progression and titration of therapy. This rapid expansion of available physiological data has resulted in a data-rich – but often knowledge-poor – environment. Yet the abundance of clinical data also presents an opportunity to systematically fuse and analyze the available data streams, through appropriately chosen mathematical models and to provide clinicians with insights that may not be readily extracted from visual review of the available data streams.

In this talk, Dr. Thomas Heldt will highlight their work in model-based signal processing for improved neurocritical care to derive additional and clinically useful information from routinely available data streams. He will present their model-based approach to noninvasive, patient-specific and calibration free estimation of intracranial pressure and will elaborate on the challenges of (and some solutions to) collecting high-quality clinical data for validation.

This event will be taking place on Monday, November 11, 2019, in 4463 Mackenzie Building from 1:30 p.m. to 2:30 p.m. There will be snacks and light refreshments provided at this event.

If you would like to know more about this event and Dr. Heldt or are interested and want to attend this event, please visit the registration page!

Friday, November 8, 2019 in Academic, Faculty, News

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