Ontology highlight
ABSTRACT:
SUBMITTER: Sheehan S
PROVIDER: S-EPMC10828469 | biostudies-literature | 2024 Apr
REPOSITORIES: biostudies-literature
Sheehan Susan S Mawe Seamus S Chen Mandy M Klug Jenna J Ladiges Warren W Korstanje Ron R Mahoney J Matthew JM
GeroScience 20231216 2
The ability to quantify aging-related changes in histological samples is important, as it allows for evaluation of interventions intended to effect health span. We used a machine learning architecture that can be trained to detect and quantify these changes in the mouse kidney. Using additional held out data, we show validation of our model, correlation with scores given by pathologists using the Geropathology Research Network aging grading scheme, and its application in providing reproducible a ...[more]