Validation of new, circulating biomarkers for gliomas

Scientific irreproducibility has been extensively discussed in the literature. A large proportion of newly discovered candidate biomarkers likely represent "false discovery" and significantly contribute to the propagation of irreproducible results between investigators. One of the best ways to assess the value of any new biomarker is by independent and extensive validation. Based on our previous classification of irreproducible results, we believe that this new work likely represents another example of biomarker false discovery.

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Publication Details

Journal
Diagnosis
Published
2025-03-26
DOI
https://doi.org/10.1515/dx-2025-0012
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Validation of new, circulating biomarkers for gliomas

Miyo K. Chatanaka, Lisa M. Avery, Eleftherios P. Diamandis
1 links
Diagnosis
Radiomics and Machine Learning in Medical Imaging
article

Validation of new, circulating biomarkers for gliomas

Miyo K. Chatanaka, Lisa M. Avery, Eleftherios P. Diamandis
article en

Abstract

Scientific irreproducibility has been extensively discussed in the literature. A large proportion of newly discovered candidate biomarkers likely represent "false discovery" and significantly contribute to the propagation of irreproducible results between investigators. One of the best ways to assess the value of any new biomarker is by independent and extensive validation. Based on our previous classification of irreproducible results, we believe that this new work likely represents another example of biomarker false discovery.

DiagnosisVol. 12(3)
Mount Sinai Hospital (CA), University of Toronto (CA), Lunenfeld-Tanenbaum Research Institute (CA), Public Health Ontario (CA)
Openalex Percentile: Top 91%
Radiomics and Machine Learning in Medical Imaging
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