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Machine Learning in Medicine (MLxMed): Behnaz Ghoraani “Sensor-based assessment of motor complications in patients with Parkinson’s disease”
March 23, 2022 @ 3:00 pm - 4:00 pm
A Virtual Seminar Series in Pittsburgh
Hosted by the Department of Biomedical Informatics
“Sensor-based assessment of motor complications in patients with Parkinson’s disease”
Behnaz Ghoraani, PhD
Associate Professor and Founder and Director, Biomedical Signal and Image Analysis Lab, Department of Electrical Engineering and Computer Science, Florida Atlantic University
Zoom https://pitt.zoom.us/j/99532417117 (Details are listed at the end)
Abstract: Parkinson’s disease is among chronic diseases that occur more frequently as people age. Parkinson’s disease affects over six million globally with estimated costs of about $24,000 per patient, resulting in a total cost of over $20 billion per year in the US, and these numbers are predicted to double by 2040. Both healthcare delivery and quality of life can be improved considerably for the millions of patients afflicted by these debilitating diseases by translating patients’ data into clinically actionable information to help the treating physician to optimize the therapeutic interventions according to each patients’ disease dynamics. In this talk, Dr. Ghoraani will present her team’s novel engineering solutions to address the need for individualized therapeutic approaches in Parkinson’s disease. Specifically, Dr. Ghoraani will present her team’s progress toward developing new data analytics tools that can be used along with wearable sensors to monitor patient-specific, response-to-medication of patients with Parkinson’s disease at their natural environment.
About MLxMed Seminar Series
Medicine is complex and data-driven while discovery and decision making are increasingly enabled by machine learning. Machine learning has the potential to support, enable and improve medical discovery and clinical decision making in areas such as medical imaging, cancer diagnostics, precision medicine, clinical trials, and electronic health records. This seminar series focuses on new algorithms, real-world deployment, and future trends in machine learning in medicine. It will feature prominent investigators who are developing and applying machine learning to biomedical discovery and in clinical decision support. For more information see MLxMed website.
Zoom Information
When: March 23, 2022 03:00 PM Eastern Time (US and Canada)
Please click the link below to join the webinar: https://pitt.zoom.us/j/99532417117
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US: +1 267 831 0333 or 877 853 5247 (Toll Free)Webinar ID: 995 3241 7117
International numbers available: https://pitt.zoom.us/u/acGSJzbMgY
Meeting ID: 995 3241 7117SIP: 99532417117@zoomcrc.com