A blood-based signature of cerebral spinal fluid Aβ1-42 status
Benjamin Goudey, Bowen John Fung, Christine Schieber, Noel Garry Faux, Michael Walter Weiner, Paul S. S. Aisen, Ronald Carl Petersen, Clifford R. Jack, William J. Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel A. Beckett, Robert C. Green, Andrew J. Saykin, John C. Morris, , Kyle B. Womack
This paper develops a blood-based machine learning model to predict cerebral spinal fluid Aβ1-42 levels, showing high accuracy in identifying Alzheimer's disease risk.
Scientific Reports · Mar 10, 2019Peer-reviewedNeuroscience