Topic: Artificial Intelligence / Machine Learning

Register now and join us via Webex.

Speaker:
Noémie Elhadad, Ph.D.
Columbia University

In this talk, Dr. Elhadad will discuss how artificial intelligence and informatics improve patient-centered healthcare. She will show how patient-record summation tools can help clinicians make sense of seemingly overwhelming amounts of patient data at the point of care, and how “mHealth” tools can be used to help patients understand and manage healthcare decisions.

About the Data Science Seminar Series

The National Cancer Institute’s (NCI) Center for Biomedical Informatics and Information Technology (CBIIT) Data Science Seminar Series presents talks from innovators in the data science and cancer research communities.
To view upcoming speakers or view recordings for past presentations, visit Data Science Seminar Series.  Follow the conversation @NCIDataSci and #DataSciSeminar. For more information about NCI’s Center for Biomedical Informatics and Information Technology (CBIIT) visit: datascience.cancer.gov

Please plan to attend the Earl Stadtman Investigator Program search seminar by:
Noam Auslander, Ph.D.
National Center for Biotechnology Information (NCBI), NIH

Dr. Auslander’s research focus is on designing techniques that make use of biological knowledge and developing computational methods to solve complex emerging problems in biology and cancer research.
This seminar will be available via ZoomGov. See below for information on the ZoomGov session. For additional information on this seminar, please contact Nadia Nimley on 240.858.3612.

To view the schedule for all upcoming Earl Stadtman Investigator Program seminars,
please click here.

The Earl Stadtman Investigator search is a trans-NIH effort to attract a diverse group of talented early-career scientists pursuing interests across the biomedical research spectrum. Additional information on the program can be found at: https://irp.nih.gov/careers/trans-nih-scientific-recruitments/stadtman-tenure-track-investigators?cid=eb_govde

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Meeting ID: 160 840 2518

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