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Identifying cancer cell death during in vitro drug testing using machine learning

Semester: Spring 2024


Presentation description

In association with the Zangle Lab, this project aimed to develop a binary classification method to distinguish between dead and living tumor cells undergoing drug treatment. Several machine learning algorithms were trained on manually identified dead cell data, and were able to accurately identify dead cells.

Presenter Name: Sara Morrison

Presentation Type: Poster
Presentation Format: In Person
Presentation #B2
College: Engineering
School / Department: Chemical Engineering
Research Mentor: Thomas Zangle
Date | Time: Tuesday, Apr 9th | 10:45 AM