Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines.

Ahmad AL, Sánchez-Bornot JM, Sotero RC, Coyle DH, Idris Z, Faye I

DOI: 10.1088/1741-2552/aebb66
Published: 2026 Oct 29
Container: Journal of neural engineering
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1741-2552/aebb66,
  title = {Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines.},
  author = {Ahmad AL and Sánchez-Bornot JM and Sotero RC and Coyle DH and Idris Z and Faye I},
  year = {2026},
  journal = {Journal of neural engineering},
  doi = {10.1088/1741-2552/aebb66},
  url = {https://doi.org/10.1088/1741-2552/aebb66}
}

RIS

TY  - JOUR
TI  - Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines.
AU  - Ahmad AL
AU  - Sánchez-Bornot JM
AU  - Sotero RC
AU  - Coyle DH
AU  - Idris Z
AU  - Faye I
PY  - 2026
JO  - Journal of neural engineering
DO  - 10.1088/1741-2552/aebb66
UR  - https://doi.org/10.1088/1741-2552/aebb66
ER  -

APA

AL, A., JM, S., RC, S., DH, C., Z, I., & I, F. (2026). Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines.. Journal of neural engineering. https://doi.org/10.1088/1741-2552/aebb66

Source records

pubmed · retrieved 2026-11-10T14:03:28.603Z