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March 26, 2019 | 3:30 p.m. - 5:00 p.m.
Category: Seminar
Location: Physics Research Building #245
Cost: Free
Audience: Alumni, Current Graduate Students, Current Undergraduate Students, Faculty, Staff

The Department of Physics and Astronomy is excited to invite you to our Condensed Matter and Biophysics Seminar.

Title:  Machine Learning Applications in Medicine and Biology

Speaker: Suzan Arslanturk, Assistant Professor

Department of Computer Science, Wayne State University

Time: Snacks and coffee at 3:30 pm. Seminar at 3:45 pm.

Date: Tuesday, March 26, 2019

Location: Room 245 of the Physics Research Building

Abstract: Clinical datasets present unique opportunities for existing and emerging descriptive and predictive analytics methods and models. In this talk, I will first describe a novel data integration methodology to identify subtypes of cancer using multiple data types (mRNA, methylation, microRNA, copy number variation, somatic variants) that come from different platforms (microarray, sequencing, etc.). Next, I will focus on a machine learning methodology to better understand the human skeletal muscle cell atlas. In particular, developing long short-term memory (LSTM) units of a recurrent neural network (RNN) to be able to predict the time-dependent changes in the morphology of the skeletal muscle cells using Differential Expansion Microscopy (DiExM) and Expansion Microscopy (EM) images. Next, I will discuss motivations for the ongoing work in discovering resting state EEG networks in neonates.


 

 

For more information about this event, please contact Christopher V Kelly at 3135778471 or cvkelly@wayne.edu.