Accelerating Parkinson’s Disease drug development with federated learning approaches

Amit Khanna; Jamie Adams; Chrystalina Antoniades; Bastiaan R. Bloem; Camille Carroll; Jesse Cedarbaum; Joshua Cosman; David T. Dexter; Marissa F. Dockendorf; Jeremy Edgerton; Laura Gaetano; Erkuden Goikoetxea; Derek Hill; Fay Horak; Elena S. Izmailova; Tairmae Kangarloo; Dina Katabi; Catherine Kopil; Michael Lindemann; Jennifer Mammen; Kenneth Marek; Kevin McFarthing; Anat Mirelman; Martijn Muller; Gennaro Pagano; M. Judith Peterschmitt; Jie Ren; Lynn Rochester; Sakshi Sardar; Andrew Siderowf; Tanya Simuni; Diane Stephenson; Christine Swanson-Fischer; John A. Wagner; Graham B. Jones

doi:10.1038/s41531-024-00837-5

Accelerating Parkinson’s Disease drug development with federated learning approaches

Amit Khanna, Jamie Adams, Chrystalina Antoniades, Bastiaan R. Bloem, Camille Carroll, Jesse Cedarbaum, Joshua Cosman, David T. Dexter, Marissa F. Dockendorf, Jeremy Edgerton, Laura Gaetano, Erkuden Goikoetxea, Derek Hill, Fay Horak, Elena S. Izmailova, Tairmae Kangarloo, Dina Katabi, Catherine Kopil, Michael Lindemann, Jennifer MammenKenneth Marek, Kevin McFarthing, Anat Mirelman, Martijn Muller, Gennaro Pagano, M. Judith Peterschmitt, Jie Ren, Lynn Rochester, Sakshi Sardar, Andrew Siderowf, Tanya Simuni, Diane Stephenson, Christine Swanson-Fischer, John A. Wagner, Graham B. Jones^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

Parkinson’s Disease is a progressive neurodegenerative disorder afflicting almost 12 million people. Increased understanding of its complex and heterogenous disease pathology, etiology and symptom manifestations has resulted in the need to design, capture and interrogate substantial clinical datasets. Herein we advocate how advances in the deployment of artificial intelligence models for Federated Data Analysis and Federated Learning can help spearhead coordinated and sustainable approaches to address this grand challenge.

Original language	English
Article number	225
Journal	npj Parkinson's Disease
Volume	10
Issue number	1
DOIs	https://doi.org/10.1038/s41531-024-00837-5
Publication status	Published - 21 Nov 2024
Externally published	Yes

ASJC Scopus subject areas

Neurology
Neurology (clinical)
Cellular and Molecular Neuroscience

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10.1038/s41531-024-00837-5

Cite this

Khanna, A., Adams, J., Antoniades, C., Bloem, B. R., Carroll, C., Cedarbaum, J., Cosman, J., Dexter, D. T., Dockendorf, M. F., Edgerton, J., Gaetano, L., Goikoetxea, E., Hill, D., Horak, F., Izmailova, E. S., Kangarloo, T., Katabi, D., Kopil, C., Lindemann, M., ... Jones, G. B. (2024). Accelerating Parkinson’s Disease drug development with federated learning approaches. npj Parkinson's Disease, 10(1), Article 225. https://doi.org/10.1038/s41531-024-00837-5

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title = "Accelerating Parkinson{\textquoteright}s Disease drug development with federated learning approaches",

abstract = "Parkinson{\textquoteright}s Disease is a progressive neurodegenerative disorder afflicting almost 12 million people. Increased understanding of its complex and heterogenous disease pathology, etiology and symptom manifestations has resulted in the need to design, capture and interrogate substantial clinical datasets. Herein we advocate how advances in the deployment of artificial intelligence models for Federated Data Analysis and Federated Learning can help spearhead coordinated and sustainable approaches to address this grand challenge.",

author = "Amit Khanna and Jamie Adams and Chrystalina Antoniades and Bloem, {Bastiaan R.} and Camille Carroll and Jesse Cedarbaum and Joshua Cosman and Dexter, {David T.} and Dockendorf, {Marissa F.} and Jeremy Edgerton and Laura Gaetano and Erkuden Goikoetxea and Derek Hill and Fay Horak and Izmailova, {Elena S.} and Tairmae Kangarloo and Dina Katabi and Catherine Kopil and Michael Lindemann and Jennifer Mammen and Kenneth Marek and Kevin McFarthing and Anat Mirelman and Martijn Muller and Gennaro Pagano and Peterschmitt, {M. Judith} and Jie Ren and Lynn Rochester and Sakshi Sardar and Andrew Siderowf and Tanya Simuni and Diane Stephenson and Christine Swanson-Fischer and Wagner, {John A.} and Jones, {Graham B.}",

note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",

year = "2024",

month = nov,

day = "21",

doi = "10.1038/s41531-024-00837-5",

language = "English",

volume = "10",

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Khanna, A, Adams, J, Antoniades, C, Bloem, BR, Carroll, C, Cedarbaum, J, Cosman, J, Dexter, DT, Dockendorf, MF, Edgerton, J, Gaetano, L, Goikoetxea, E, Hill, D, Horak, F, Izmailova, ES, Kangarloo, T, Katabi, D, Kopil, C, Lindemann, M, Mammen, J, Marek, K, McFarthing, K, Mirelman, A, Muller, M, Pagano, G, Peterschmitt, MJ, Ren, J, Rochester, L, Sardar, S, Siderowf, A, Simuni, T, Stephenson, D, Swanson-Fischer, C, Wagner, JA & Jones, GB 2024, 'Accelerating Parkinson’s Disease drug development with federated learning approaches', npj Parkinson's Disease, vol. 10, no. 1, 225. https://doi.org/10.1038/s41531-024-00837-5

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T1 - Accelerating Parkinson’s Disease drug development with federated learning approaches

AU - Khanna, Amit

AU - Adams, Jamie

AU - Antoniades, Chrystalina

AU - Bloem, Bastiaan R.

AU - Carroll, Camille

AU - Cedarbaum, Jesse

AU - Cosman, Joshua

AU - Dexter, David T.

AU - Dockendorf, Marissa F.

AU - Edgerton, Jeremy

AU - Gaetano, Laura

AU - Goikoetxea, Erkuden

AU - Hill, Derek

AU - Horak, Fay

AU - Izmailova, Elena S.

AU - Kangarloo, Tairmae

AU - Katabi, Dina

AU - Kopil, Catherine

AU - Lindemann, Michael

AU - Mammen, Jennifer

AU - Marek, Kenneth

AU - McFarthing, Kevin

AU - Mirelman, Anat

AU - Muller, Martijn

AU - Pagano, Gennaro

AU - Peterschmitt, M. Judith

AU - Ren, Jie

AU - Rochester, Lynn

AU - Sardar, Sakshi

AU - Siderowf, Andrew

AU - Simuni, Tanya

AU - Stephenson, Diane

AU - Swanson-Fischer, Christine

AU - Wagner, John A.

AU - Jones, Graham B.

PY - 2024/11/21

Y1 - 2024/11/21

N2 - Parkinson’s Disease is a progressive neurodegenerative disorder afflicting almost 12 million people. Increased understanding of its complex and heterogenous disease pathology, etiology and symptom manifestations has resulted in the need to design, capture and interrogate substantial clinical datasets. Herein we advocate how advances in the deployment of artificial intelligence models for Federated Data Analysis and Federated Learning can help spearhead coordinated and sustainable approaches to address this grand challenge.

AB - Parkinson’s Disease is a progressive neurodegenerative disorder afflicting almost 12 million people. Increased understanding of its complex and heterogenous disease pathology, etiology and symptom manifestations has resulted in the need to design, capture and interrogate substantial clinical datasets. Herein we advocate how advances in the deployment of artificial intelligence models for Federated Data Analysis and Federated Learning can help spearhead coordinated and sustainable approaches to address this grand challenge.

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DO - 10.1038/s41531-024-00837-5

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JO - npj Parkinson's Disease

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M1 - 225

ER -

Accelerating Parkinson’s Disease drug development with federated learning approaches

Abstract

ASJC Scopus subject areas

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