Colloquium Presentation "Scalable Natural Language Processing for Transforming Medicine" By. Dr. Monica Agrawal

Wednesday, February 14, 2024 - 20:15

The School of Computer Science at the University of Windsor is pleased to present…

Scalable Natural Language Processing for Transforming Medicine

Speaker: Dr. Monica Agrawal

Photo of Dr. Monica Agrwal

Date: Friday, February 16th, 2024

Time: 11:00 am – 12:00 pm

Location: Erie Hall Room 3123



The data in electronic health records (EHRs) have immense potential to transform medicine both at the point-of-care and through retrospective research. However, structured data alone can only tell a fraction of patients' clinical narratives, as many clinically important variables are trapped within clinical notes. In this talk, I will discuss scalable solutions for clinical natural language processing. These include the development of label-efficient modelling methodology, novel techniques for leveraging large language models, and a new paradigm for EHR documentation that incentivizes the creation of high-quality data at the point of care.


Clinical NLP, electronic health records, large language models



Dr. Monica Agrawal is an incoming assistant professor at Duke University, joint between the Dept of Computer Science and the Dept of Biostatistics and Bioinformatics. Her research focuses on scalable clinical NLP and smarter electronic health records. Earlier this year, she completed a PhD in Computer Science at MIT, and she is a co-founder of Layer Health.

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