Researchers at the Singapore University of Technology and Design (SUTD), the National University of Singapore, and Nanyang Technological University used artificial intelligence to correlate cellular cytoskeleton structure with the position of nuclei.
The researchers created an algorithm to interpret the cytoskeleton of eukaryotic cells from qualitative data, without informing the system what it was observing and how to quantify it.
Said SUTD's Javier G. Fernandez, "This forced the program to find the parameters defining the system, free from human interpretation and predefined concepts."
The algorithm forecast nuclei presence and location in over 8,000 cells, with nearly half of the predictions deviating less than 1 µm from the nuclei's position.
"This study has transformed the way we think about adapting our scientific research methods to allow machine learning to not just be used as a tool to analyze data, but to also interpret reality," Fernandez said.
From News-Medical Life Sciences
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