Bioinformatics professors Anthony Gitter and Casey Greene set out in summer 2016 to write a paper about the “state of the art” in deep learning for biomedicine, a hot new artificial intelligence field striving to mimic the neural networks of the human brain.
In the fight against the viruses that invade everyday life, seeing and understanding the battleground is essential. Scientists at the Morgridge Institute for Research have, for the first time, imaged molecular structures vital to how a major class of viruses replicates within infected cells.
Anthony Gitter, a Morgridge investigator and assistant professor of biostatistics and medical informatics, says the goal will be to create machine learning tools that dramatically reduce the time and cost associated with screening compounds for therapeutic relevance.
Anthony Gitter remembers the mental spark when listening to a recent talk about the discovery of so-called “precocious cells” — a tiny group of cells that lead an advance charge against infection.