Robert Orlowski, Deputy Chair of Lymphoma/Myeloma, Vice Chair of MM Research, and Florence Maude Thomas Cancer Research Professor at the University of Texas MD Anderson Cancer Center, shared a post on X:
“Myeloma Paper of the Day:
ALyzer3D.AI, a multi-modal deep learning architecture integrating evolutionary ESM-2 Protein Language Model features, ColabFold structural metrics, and engineered biophysical features, may predict AL amyloidosis.”
Title: ALyzer3D.AI: a more generalizable deep learning predictor of light chain amyloidogenicity powered by structural and evolutionary Artificial Intelligence
Authors: Peter May, Johannes Jung, Marion Högner, Florian Bassermann
You can read the Full Article in Amyloid.
You can find more posts featuring Robert Orlowski on OncoDaily.
