Histological aging signatures for monitoring tissue-specific aging and disease
Year: 2026
Type: software
Abstract: tissue-clocks v1.0.0 Source code release accompanying the Nature Medicine manuscript: Histological aging signatures enable inference of tissue-specific disease associations from blood Contents Full analysis pipeline for GTEx histopathology aging clocks Revision analyses: foundation models, external cohort validation, ICC reproducibility, Bland-Altman calibration, GNN models, DNA methylation comparison Didactic walkthrough notebook: src/revision/tissue_clock_walkthrough.ipynb License PolyForm Noncommercial License 1.0.0 — see LICENSE. Related repositories RendeiroLab/wsi — WSI preprocessing library RendeiroLab/LazySlide — whole-slide image analysis framework Data GTEx WSI and expression data: GTEx Portal GTEx phenotypes: dbGaP phs000424.v9.p2 Fine-tuning datasets: Zenodo 10.5281/zenodo.13330659
Authors: Abila, Ernesto, Buljan, Iva, Zheng, Yimin, Kleißl, Lisa, Klotz, Sigrid, Veres, Tamas, Weng, Zhilong, Nackenhorst, Maja Carina, Kamies, Rizqah, Michl, Anja, Kadri, Safwen, Moustafa, Samir, Hulla, Wolfgang, Perkonigg, Matthias, Drach, Mathias, Tschandl, Philipp, Sterniczky, Barbara, Heinig, Matthias, Desadeleer, Laurens, Wuyts, Wim, Vanaudenaerde, Bart, Ceulemans, Laurens, Buchanan, Daniel, Fennell, Lochlan, Stary, Georg, Tolkach, Yuri, Wöhrer, Adelheid, Schiller, Herbert, Rendeiro, André
Institutions: CeMM Research Center for Molecular Medicine, Medical University of Vienna, Helmholtz Munich, University of Vienna, Innsbruck Medical University, Universitair Ziekenhuis Leuven, The University of Melbourne, QIMR Berghofer Medical Research Institute, Monash University, Ludwig Boltzmann Institute for Network Medicine at the University of Vienna
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Funder: European Commission
Award: G876795524
OpenAlex ID: W7164527681