Using “ONEST” algorithm to improve reproducibility of PD-L1 assessment by pathologists episode artwork

EPISODE · Sep 2, 2020 · 14 MIN

Using “ONEST” algorithm to improve reproducibility of PD-L1 assessment by pathologists

from Springer Nature · host Springer Nature

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

Episode metadata supplied by the publisher feed · Published Sep 2, 2020

Embed this episode

NOW PLAYING

Using “ONEST” algorithm to improve reproducibility of PD-L1 assessment by pathologists

0:00 14:46

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Springer Nature?

This episode is 14 minutes long.

When was this Springer Nature episode published?

This episode was published on September 2, 2020.

Can I download this Springer Nature episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!