A multi-university research team co-led by University of Virginia engineering professor Gustavo K. Rohde has developed a system that can spot genetic markers of autism in brain images with 89 to 95% accuracy.
University of Virginia School of Engineering and Applied ScienceAug 28 2024
While working in Rohde's lab, Kundu -; now a physician at the Johns Hopkins Hospital -; helped develop a generative computer modeling technique called transport-based morphometry, or TBM, which is at the heart of the team's approach. How TBM cracks the code Transport-based morphometry is different from other machine learning image analysis models because the mathematical models are based on mass transport -; the movement of molecules such as proteins, nutrients and gases in and out of cells and tissues. "Morphometry" refers to measuring and quantifying the biological forms created by these processes.
These sources previously prevented researchers from understanding the "gene-brain-behavior" relationship, effectively limiting care providers to behavior-based diagnoses and treatments.
Brain Research Gene Genetic Genetics Machine Learning Medicine Morphology
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