Predicting regional tau accumulation with machine learning‐based tau‐PET and advanced radiomics
Machine learning predicts the future rate of tau accumulation in Alzheimer's disease.Tau prediction in lobar/global regions benefits from diverse multimodal features.This prognostic index can serve as a sensitive tool for patient stratification.
Authors
- Ixavier A. Higgins
- Sergey Shcherbinin
- Ian Kennedy (ORCID: https://orcid.org/0000-0003-2684-1935)
- Michael J. Pontecorvo (ORCID: https://orcid.org/0000-0002-8419-7589)
- Leonardo Iaccarino (ORCID: https://orcid.org/0000-0003-0053-9519)
- Samantha C. Burnham (ORCID: https://orcid.org/0000-0003-4805-5193)
- Jian Wang (ORCID: https://orcid.org/0000-0003-3633-6799)
- Saima Rathore (ORCID: https://orcid.org/0000-0003-4752-2298)
Institutions
- Emory University (US)
- Eli Lilly (United States) (US)
Publication Details
- Journal
- Alzheimer s & Dementia Translational Research & Clinical Interventions
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1002/trc2.70005
- Citations
- 5
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.02
Funders
- Eli Lilly and Company