Machine learning for predicting young's modulus of soft tissues from atomic force microscopy data.

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Bibliographic Details
Title: Machine learning for predicting young's modulus of soft tissues from atomic force microscopy data.
Authors: Abdoli M; Student of Mechatronics, Department of Electronic Engineering, Faculty of Engineering, Arak University, Arak, Iran. Electronic address: maryam.abdoli1395@gmail.com., Taheri M; Department of Mechanical Engineering, Faculty of Engineering, Arak University, Arak, Iran. Electronic address: m-taheri@araku.ac.ir.
Source: Journal of structural biology [J Struct Biol] 2026 Jun; Vol. 218 (2), pp. 108325. Date of Electronic Publication: 2026 May 15.
Publication Type: Journal Article
Journal Info: Publisher: Academic Press Country of Publication: United States NLM ID: 9011206 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8657 (Electronic) Linking ISSN: 10478477 NLM ISO Abbreviation: J Struct Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1095-8657
DOI:10.1016/j.jsb.2026.108325