Online: Deep Learning Models for Healthcare and Oncology

Data Works MD
Data Works MD
Public group

Online event

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Details

Data science and machine learning techniques such as deep learning are already impacting healthcare in areas such as AI-assisted radiology, identifying rare diseases, and healthcare operation management. Join us in October to learn about the challenges and results of using deep learning for healthcare research.

Agenda
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12:00 PM -- Greetings

12:05 PM -- Deep Learning Models for Healthcare and Oncology - Prof. Sanjay Purushotham

1:30 PM -- Closings

Location
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Zoom and YouTube Streaming
A link will be sent out prior to the event. Please note that Zoom is capped at 100, so if you do not get into the Zoom, you will be able to watch via YouTube.

Please note we will not be recording this session.

Talks
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Deep Learning Models for Healthcare and Oncology
Deep Learning models have emerged as promising solutions for tackling many health care research problems since they can be automatically trained end-to-end without the need for hand-crafted features. While results from deep learning models are encouraging, there is still a major gap before it can be adopted as the mainstream method for practical healthcare applications. In this talk, I will first discuss the unique challenges posed by healthcare datasets and then discuss novel deep learning solutions to address them. I will also present the findings from our recent foray of applying deep learning models to cancer research.

Speakers
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Sanjay Purushotham is an Assistant Professor in the Department of Information Systems at the University of Maryland, Baltimore County (UMBC). His research focuses on machine learning, data mining, and computer vision applied to time series analysis, biomedical informatics and multimedia data retrieval. Recently, he has been developing deep learning frameworks to model healthcare, medical imaging and oncology data. His research has produced more than 35 peer-reviewed publications and has won multiple best paper and best poster awards. His research has been funded by NSF and NASA. Purushotham received his MS and Ph.D. in Electrical Engineering from the University of Southern California (USC) and did his postdoctoral training at the Department of Computer Science, USC. Professor Purushotham can be reached at https://sanjayp.is.umbc.edu/