Machine learning prediction of future amyloid beta positivity in amyloid-negative individuals.

Publication Year: 2024

DOI:
10.1186/s13195-024-01415-w

PMCID:
PMC10900722

PMID:
38414035

Journal Information

Full Title: Alzheimers Res Ther

Abbreviation: Alzheimers Res Ther

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Neurology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
4/6
66.7% Transparent
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Evidence found in paper:

"the codes for classification and regression analyses are available at " https://github com/elahehmoradi/ab-positivity-prediction "."

Evidence found in paper:

"Declarations Ethics approval and consent to participateThe ADNI study was approved by the Institutional Review Board (IRB) of each participating site and was conducted in accordance with Federal Regulations. For participants in ADNI protocols, written informed consent was obtained and the study was conducted in accordance with the Declaration of Helsinki. Consent for publicationNot applicable. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."

Evidence found in paper:

"Funding This research has been supported by European Research Council (grant 804371), The Academy of Finland (grants 346934 and 349184), and a grant 351849 from the Academy of Finland under the frame of ERA PerMed (“Pattern-Cog”), a grant AC21-2/00023 from Spain’s Instituto de Salud Carlos III with NextGenEU European funding from the “Plan de Recuperación, Transformación y Resiliencia (PRTR)”."

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Open Access
Paper is freely available to read
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Tool: rtransparent

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Last Updated: Aug 05, 2025