The Alzheimer Precision Medicine Initiative.
APMI
All of Us Research Program
Alzheimer’s disease
artificial intelligence
big data
biomarker-guided therapies
precision medicine
systems biology
systems neurophysiology
translational research programs.
Journal
Journal of Alzheimer's disease : JAD
ISSN: 1875-8908
Titre abrégé: J Alzheimers Dis
Pays: Netherlands
ID NLM: 9814863
Informations de publication
Date de publication:
2019
2019
Historique:
pubmed:
1
3
2019
medline:
19
6
2020
entrez:
1
3
2019
Statut:
ppublish
Résumé
Precision medicine (PM) is an evolving scientific renaissance movement implementing key breakthrough technological and scientific advances to overcome the limitations of traditional symptom- and sign-based phenotypic diagnoses and clinical "one-size-fits-all, magic bullet drug development" in these largely heterogeneous target populations. It is a conceptual shift from ineffective treatments for biologically heterogeneous "population averages" to individually-tailored biomarker-guided targeted therapies. PM is defining which therapeutic approach will be the most effective for a specific individual, at a determined disease stage, across multiple medical research fields, including neuroscience, neurology and psychiatry. The launch of the Alzheimer Precision Medicine Initiative (APMI) and its associated cohort program in 2016-facilitated by the academic core coordinating center run by the Sorbonne University Clinical Research Group in Alzheimer Precision Medicine (Sorbonne University GRC n°21 APM)"-is geared at transforming healthcare, conventional clinical diagnostics, and drug development research in Alzheimer's disease. Ever since the commencement of the APMI, the international interdisciplinary research network has introduced groundbreaking translational neuroscience programs on the basis of agnostic exploratory genomics, systems biology, and systems neurophysiology applying innovative "big data science", including breakthrough artificial intelligence-based algorithms. Here, we present the scientific breakthrough advances and the pillars of the theoretical and conceptual development leading to the APMI.
Identifiants
pubmed: 30814352
pii: JAD181121
doi: 10.3233/JAD-181121
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
1-24Investigateurs
Lisi Flores Aguilar
(LF)
Claudio Babiloni
(C)
Filippo Baldacci
(F)
Norbert Benda
(N)
Keith L Black
(KL)
Arun L W Bokde
(ALW)
Ubaldo Bonuccelli
(U)
Karl Broich
(K)
Francesco Cacciola
(F)
Juan Castrillo
(J)
Enrica Cavedo
(E)
Roberto Ceravolo
(R)
Patrizia A Chiesa
(PA)
Jean-Christophe Corvol
(JC)
Augusto Claudio Cuello
(AC)
Jeffrey L Cummings
(JL)
Herman Depypere
(H)
Bruno Dubois
(B)
Andrea Duggento
(A)
Valentina Escott-Price
(V)
Howard Federoff
(H)
Maria Teresa Ferretti
(MT)
Massimo Fiandaca
(M)
Richard A Frank
(RA)
Francesco Garaci
(F)
Hugo Geerts
(H)
Filippo S Giorgi
(FS)
Manuela Graziani
(M)
Marion Haberkamp
(M)
Marie-Odile Habert
(MO)
Harald Hampel
(H)
Karl Herholz
(K)
Eric Karran
(E)
Seung H Kim
(SH)
Yosef Koronyo
(Y)
Maya Koronyo-Hamaoui
(M)
Todd Langevin
(T)
Stéphane Lehéricy
(S)
Simone Lista
(S)
Jean Lorenceau
(J)
Dalila Mango
(D)
Mark Mapstone
(M)
Christian Neri
(C)
Robert Nisticó
(R)
Sid E O'Bryant
(SE)
George Perry
(G)
Craig Ritchie
(C)
Simone Rossi
(S)
Amira Saidi
(A)
Emiliano Santarnecchi
(E)
Lon S Schneider
(LS)
Olaf Sporns
(O)
Nicola Toschi
(N)
Steven R Verdooner
(SR)
Andrea Vergallo
(A)
Nicolas Villain
(N)
Lindsay A Welikovitch
(LA)
Janet Woodcock
(J)
Erfan Younesi
(E)