Listen "Using “ONEST” algorithm to improve reproducibility of PD-L1 assessment by pathologists"
Episode Synopsis
A conversation with David Rimm, the author of a recent study on Triple negative breast cancer, on using a novel statistical algorithm (ONEST) to improve reproducibility of PD-L1 assessment by pathologists
Associated article: Prospective multi-institutional evaluation of pathologist assessment of PD-L1 assays for patient selection in triple negative breast cancer
https://www.nature.com/articles/s41379-020-0544-x
Associated article: Prospective multi-institutional evaluation of pathologist assessment of PD-L1 assays for patient selection in triple negative breast cancer
https://www.nature.com/articles/s41379-020-0544-x
More episodes of the podcast Springer Nature
Resisting parasitoids: beetle v wasp
26/11/2025
The consequences of invasion
29/10/2025
Older and wiser? The neural correlates of worry induction and reappraisal in older adults
27/10/2025
Genomic responses to past and future change
27/08/2025
July 2025: ECI Katie Strobel
20/08/2025
Colourful signals in Anolis lizards
30/07/2025
ZARZA We are Zarza, the prestigious firm behind major projects in information technology.