qMAP Enabled Microanatomical Mapping of Human Skin Aging
K. S. Han, I. B. Sander, J. Kumer, E. P. Resnick, C. Booth, Y. Im, G. Cheng, B. Starich, A. L. Kiemen, J. M. Phillip, S. Reddy, C. Joshu, J. Sunshine, J. Walston, D. Wirtz, P.-H. Wu
This study introduces qMAP, a deep learning-based workflow for microanatomical mapping of human skin, identifying 10 core processes strongly associated with aging and achieving age prediction accuracy comparable to epigenetic clocks.
bioRxiv · Apr 3, 2024 · PreprintPathology