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Nizar Jacques Bahlis: The most comprehensive AI assisted individualized risk classifier in Multiple Myeloma

Photo taken from Nizar Jacques Bahlis/Twitter

Jan 14, 2024, 17:31

Nizar Jacques Bahlis: The most comprehensive AI assisted individualized risk classifier in Multiple Myeloma

Nizar Jacques Bahlis, Associate Professor at the Arnie Charbonneau Cancer Institute, Cumming School of Medicine, University of Calgary, shared on X:

“‘Precognition’ in myeloma.

The most comprehensive AI assisted individualized risk classifier in MM Journal of Clinical Oncology by Francesco Maura, Sylvester Comprehensive Cancer Center. In addition to clinical features prediction model accounts for 20 genomic features including APOBEC.”

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Source: Nizar Jacques Bahlis/X

'Precognition' in myeloma cancer Francesco Maura Journal of Clinical Oncology Myeloma Nizar Jacques Bahlis OncoDaily Oncology Sylvester Comprehensive Cancer Center

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