IDRE Early Career Research Day Winner uses deep learning to quanitfy dependency between cell's state and function
IDRE’s Early Career Research Day recognized Evan Maltz’s research, Decoding NF-kB Dynamics Using a High-Throughput, Information-Based Approach, as one of the top four posters presented. More than 80 researchers participated in the poster session event with 40 high quality research posters on November 20, 2019.
The research aims to determine the dependency between the internal and external state of a cell.
“Biologists mostly think that the internal state of a cell is sensitive to its local environment” Maltz said. “People say that all the time, but no one has ever been able to accurately quantify that claim.”
The Wollman lab’s GPU, provided by NVIDIA’s GPU Grant Program, runs through multiple sets of paired data and trains a deep neural network to extract all predictable information between a cell’s internal and external states. Determining a cell function’s dependency on its internal state can help researchers understand diseases and in turn, improve the diagnosis and treatment of those diseases.
Read the full article on Evan Maltz's research.
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