Dartmouth researchers have developed an algorithm that might someday be used to analyze blood for diagnostic purposes. Using data from a mass spectrometer, a device that generates a molecular fingerprint of biological samples, the Dartmouth teams calculations can distinguish healthy blood from diseased blood.
This study by Ryan Lilien, a Dartmouth M.D./Ph.D. student, Hany Farid, Assistant Professor of Computer Science , and Bruce Donald, the Foley Professor of Computer Science, appeared in the Journal of Computational Biology in December 2003.
"Our algorithm, named Q5, works on the assumption that the molecular composition of the blood changes between healthy and disease states," says Donald, the senior researcher on the project. "The goal of our work is to develop minimally invasive diagnostic methods with high predictive accuracy, and this is a promising first step."
Sue Knapp | Dartmouth College
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