A metabolite-based machine learning approach to diagnose Alzheimer-type dementia in blood: Results from the European Medical Information Framework for Alzheimer disease biomarker discovery cohort
Titel:
A metabolite-based machine learning approach to diagnose Alzheimer-type dementia in blood: Results from the European Medical Information Framework for Alzheimer disease biomarker discovery cohort
Auteur:
Stamate, Daniel Kim, Min Proitsi, Petroula Westwood, Sarah Baird, Alison Nevado-Holgado, Alejo Hye, Abdul Bos, Isabelle Vos, Stephanie J.B. Vandenberghe, Rik Teunissen, Charlotte E. Kate, Mara Ten Scheltens, Philip Gabel, Silvy Meersmans, Karen Blin, Olivier Richardson, Jill De Roeck, Ellen Engelborghs, Sebastiaan Sleegers, Kristel Bordet, Régis Ramit, Lorena Kettunen, Petronella Tsolaki, Magda Verhey, Frans Alcolea, Daniel Lléo, Alberto Peyratout, Gwendoline Tainta, Mikel Johannsen, Peter Freund-Levi, Yvonne Frölich, Lutz Dobricic, Valerija Frisoni, Giovanni B. Molinuevo, José L. Wallin, Anders Popp, Julius Martinez-Lage, Pablo Bertram, Lars Blennow, Kaj Zetterberg, Henrik Streffer, Johannes Visser, Pieter J. Lovestone, Simon Legido-Quigley, Cristina
Verschenen in:
Alzheimer's & dementia. Translational research & clinical interventions