Fit of biokinetic data in molecular radiotherapy: a machine learning approach.

Publication Year: 2024

DOI:
10.1186/s40658-024-00623-5

PMCID:
PMC10881934

PMID:
38383799

Journal Information

Full Title: EJNMMI Phys

Abbreviation: EJNMMI Phys

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Radiology, Nuclear Medicine & Medical Imaging

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"Declarations Ethics approval and consent to participateAll procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed consentInformed consent was obtained from all individual participants included in the study. Consent for publicationInformed consents for the publication of the study, the diagnostic and therapeutic procedure were obtained from the legally authorized representative. Competing interestsAll authors declare that they have no conflict of interest. Competing interests All authors declare that they have no conflict of interest."

Evidence found in paper:

"Funding This work was supported also by the Italian Ministry of Health with Current Research funds."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025