Forecasting individual progression trajectories in Alzheimer’s disease
Accurate prediction of disease progression in Alzheimer’s disease (AD) is necessary for optimal recruitment of patients to clinical trials. Here, the authors present AD Course Map, a statistical model which helps to predict disease progression in participants, thus decreasing the required sample siz...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-02-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-35712-5 |
| _version_ | 1811165873690378240 |
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| author | Etienne Maheux Igor Koval Juliette Ortholand Colin Birkenbihl Damiano Archetti Vincent Bouteloup Stéphane Epelbaum Carole Dufouil Martin Hofmann-Apitius Stanley Durrleman |
| author_facet | Etienne Maheux Igor Koval Juliette Ortholand Colin Birkenbihl Damiano Archetti Vincent Bouteloup Stéphane Epelbaum Carole Dufouil Martin Hofmann-Apitius Stanley Durrleman |
| author_sort | Etienne Maheux |
| collection | DOAJ |
| description | Accurate prediction of disease progression in Alzheimer’s disease (AD) is necessary for optimal recruitment of patients to clinical trials. Here, the authors present AD Course Map, a statistical model which helps to predict disease progression in participants, thus decreasing the required sample size for a hypothetical trial. |
| first_indexed | 2024-04-10T15:43:28Z |
| format | Article |
| id | doaj.art-b5acdeeb30ea4f1d801955edf3c03f2c |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-04-10T15:43:28Z |
| publishDate | 2023-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-b5acdeeb30ea4f1d801955edf3c03f2c2023-02-12T12:16:18ZengNature PortfolioNature Communications2041-17232023-02-0114111510.1038/s41467-022-35712-5Forecasting individual progression trajectories in Alzheimer’s diseaseEtienne Maheux0Igor Koval1Juliette Ortholand2Colin Birkenbihl3Damiano Archetti4Vincent Bouteloup5Stéphane Epelbaum6Carole Dufouil7Martin Hofmann-Apitius8Stanley Durrleman9Sorbonne Université, Institut du Cerveau - Paris Brain Institute – ICM, CNRS, Inria, Inserm, AP-HP, Hôpital Pitié-SalpêtrièreSorbonne Université, Institut du Cerveau - Paris Brain Institute – ICM, CNRS, Inria, Inserm, AP-HP, Hôpital Pitié-SalpêtrièreSorbonne Université, Institut du Cerveau - Paris Brain Institute – ICM, CNRS, Inria, Inserm, AP-HP, Hôpital Pitié-SalpêtrièreDepartment of bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI)IRCCS Instituto Centro San Giovanni di Dio FatebenefratelliUniversité de Bordeaux, CNRS UMR 5293, Institut des Maladies NeurodégénérativesSorbonne Université, Institut du Cerveau - Paris Brain Institute – ICM, CNRS, Inria, Inserm, AP-HP, Hôpital Pitié-Salpêtrière, Institut de la mémoire et de la maladie d’Alzheimer (IM2A), center of excellence of neurodegenerative diseases (CoEN), department of Neurology, DMU NeurosciencesUniversité de Bordeaux, CNRS UMR 5293, Institut des Maladies NeurodégénérativesDepartment of bioinformatics, Fraunhofer Institute for Algorithms and Scientific Computing (SCAI)Sorbonne Université, Institut du Cerveau - Paris Brain Institute – ICM, CNRS, Inria, Inserm, AP-HP, Hôpital Pitié-SalpêtrièreAccurate prediction of disease progression in Alzheimer’s disease (AD) is necessary for optimal recruitment of patients to clinical trials. Here, the authors present AD Course Map, a statistical model which helps to predict disease progression in participants, thus decreasing the required sample size for a hypothetical trial.https://doi.org/10.1038/s41467-022-35712-5 |
| spellingShingle | Etienne Maheux Igor Koval Juliette Ortholand Colin Birkenbihl Damiano Archetti Vincent Bouteloup Stéphane Epelbaum Carole Dufouil Martin Hofmann-Apitius Stanley Durrleman Forecasting individual progression trajectories in Alzheimer’s disease Nature Communications |
| title | Forecasting individual progression trajectories in Alzheimer’s disease |
| title_full | Forecasting individual progression trajectories in Alzheimer’s disease |
| title_fullStr | Forecasting individual progression trajectories in Alzheimer’s disease |
| title_full_unstemmed | Forecasting individual progression trajectories in Alzheimer’s disease |
| title_short | Forecasting individual progression trajectories in Alzheimer’s disease |
| title_sort | forecasting individual progression trajectories in alzheimer s disease |
| url | https://doi.org/10.1038/s41467-022-35712-5 |
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