G
Giovanni B. Frisoni
Researcher at University of Geneva
Publications - 956
Citations - 55940
Giovanni B. Frisoni is an academic researcher from University of Geneva. The author has contributed to research in topics: Dementia & Medicine. The author has an hindex of 101, co-authored 871 publications receiving 46199 citations. Previous affiliations of Giovanni B. Frisoni include Geneva College & University of Rome Tor Vergata.
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Journal ArticleDOI
Risk score profiles for prediction of dementia in the general elderly population
Stephanie J.B. Vos,Sylvaine Artero,Karen Ritchie,Isabelle Carrière,Martin P.J. van Boxtel,Jean-François Dartigues,Karine Pérès,Dorly J. H. Deeg,Tobias Luck,Steffi G. Riedel-Heller,Simone Sacuiu,Ingmar Skoog,Lucia Galluzzo,Emanuele Scafato,Giovanni B. Frisoni,Frans R.J. Verhey,Pieter Jelle Visser,Pieter Jelle Visser +17 more
TL;DR: A maximum total of nine points is possible over the areas of sample selection, comparability of cases and controls and ascertainment of exposure, with a score above five indicating reasonable study quality.
Journal ArticleDOI
The relevance of genetic testing in late-onset Huntington's disease.
TL;DR: Age (RR for 10-year increase) 76.4::!
Journal Article
[Brain imaging of Alzheimer' disease: state of the art and perspectives for clinicians].
Sara Trombella,Frédéric Assal,Dina Zekry,Gabriel Gold,Panteleimon Giannakopoulos,Valentina Garibotto,Jean-François Démonet,Giovanni B. Frisoni +7 more
TL;DR: In this article, the authors discuss promising techniques that allow assessing in vivo AD pathology and help clinicians to better diagnose and follow-up patients, particularly in clinical trials using disease-modifying treatments.
Journal ArticleDOI
Predicting AT(N) pathologies in Alzheimer’s disease from blood-based proteomic data using neural networks
Yuting Zhang,Upamanyu Ghose,Noel J. Buckley,Sebastiaan Engelborghs,Kristel Sleegers,Giovanni B. Frisoni,Anders Wallin,Alberto Lleó,Julius Popp,Pablo Martinez-Lage,Cristina Legido-Quigley,Frederik Barkhof,Henrik Zetterberg,Pieter Jelle Visser,Lars Bertram,Simon Lovestone,Alejo J. Nevado-Holgado,Liu Shi +17 more
TL;DR: In this paper , the authors harness the power of state-of-the-art deep learning neural networks to identify plasma proteins that predict amyloid, tau, and neurodegeneration (AT[N]) pathologies in AD.