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The opportunity to standardize the way we construct data sets is important...If we try to build a data set for every use case, we can set ourselves up to fail. We don't want to build a large reference data set that doesn't get used - @balasubramaniac from @Path_AI #FriendDx
At #SABCS24 today, David Rimm @RimmPathology @YaleMed, @DrKimAllison, Reena Philip of @US_FDA, Andy Beck of @Path_AI & Giuseppe Viale of @IEOufficiale, discuss the importance measuring w/quantitative assays #BreastCancer.
We sat down with VP of Product, Ben Glass, to discuss how #AI-powered #pathology is revolutionizing fibrosis quantification in #oncology and to learn more about the development of PathAI’s latest product: PathExplore™ #Fibrosis Read More: linkedin.com/pulse/discussi… #PathTwitter
New @CancerReserch findings in @JCO_ASCO examine variability in HRD results across assays, suggesting the need for consistent & aligned strategies in biomarker selection for #clinicaltrials & clinical decision-making. #jcooa Read the manuscript here: ascopubs.org/doi/10.1200/OA…
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The Digital Pathology Association
@dpatweet -
DukePathDept
@DukePathDept -
Owkin
@OwkinScience -
Aleksandra Zuraw
@olkazuraw -
Virtual Pathology at The University of Leeds
@LeedsPathology -
Tempus
@TempusAI -
Roberto Ruiz-Cordero
@drruizcor -
EuSocDigIntegrPath
@ESDIPatho -
Cleerly
@Cleerlyhealth -
CAP Foundation
@CAPFndn -
Aiforia
@aiforia_tech -
Proscia
@Proscia -
Ibex Medical Analytics
@IbexMedAx
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