Automated VWF Multimer Analysis Using Deep Learning for Improved Diagnosis and Classification of vWD
Dong Chen, Vice Chair of Practice in Pathology at Mayo Clinic, shared an articlle on LinkedIn:
“Automated VWF multimer analysis using deep learning demonstrates high accuracy in pattern classification and could standardize the interpretation of VWF multimer patterns. While not replacing expert analysis, this approach could improve the efficiency of expert human review, potentially streamlining laboratory workflow and expanding access to VWF multimer testing.”
Title: Automated Von Willebrand Factor Multimer Image Analysis for Improved Diagnosis and Classification of Von Willebrand Disease (vWD)
Authors: Karthik Anand, Vincent Olteanu, Chi Zhang, Katelynn Nelton, Erin Aakre, Juliana Perez Botero, Rajiv Pruthi, Dong Chen, Jansen N. Seheult
Read the full article here.
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