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:
Machine learning reveals distinct T-cell receptor clusters in MGUS, smoldering myeloma, and myeloma exhibiting different amino acid properties vs. healthy controls that may reflect underlying antigen recognition differences.”
Title: Machine learning reveals distinct T-cell receptor clusters in plasma cell dyscrasias compared to healthy controls
Authors: David G. Coffey, Yong Zhang, Elizabeth Hill, Frank Cross Jr., Reena Philip, Marc R. Theoret, Ola Landgren, Andrea C. Baines, Dickran Kazandjian
You can read the Full Article in PLOS One.
You can find more posts featuring Robert Orlowski on OncoDaily.
