Artificial Intelligence-Enhanced Models to Predict Light Chain Amyloidosis from Patients with Monoclonal Gammopathy of Undetermined Significance and Smoldering Multiple Myeloma

Artificial Intelligence-Enhanced Models to Predict Light Chain Amyloidosis from Patients with Monoclonal Gammopathy of Undetermined Significance and Smoldering Multiple Myeloma

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Veröffentlicht in:Blood 2022-11, Vol.140 (Supplement 1), p.7230-7232
Hauptverfasser: Muchtar, Eli, Dasari, Surendra, Grogan, Martha, Gertz, Morie A., Lacy, Martha Q., Buadi, Francis K., Dingli, David, Kourelis, Taxiarchis, Attia, Itzhak Z., Lopez-Jimenez, Francisco, Murphree, Dennis, Friedman, Paul A., Kumar, Shaji K, Dispenzieri, Angela
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container_end_page 7232
container_issue Supplement 1
container_start_page 7230
container_title Blood
container_volume 140
creator Muchtar, Eli
Dasari, Surendra
Grogan, Martha
Gertz, Morie A.
Lacy, Martha Q.
Buadi, Francis K.
Dingli, David
Kourelis, Taxiarchis
Attia, Itzhak Z.
Lopez-Jimenez, Francisco
Murphree, Dennis
Friedman, Paul A.
Kumar, Shaji K
Dispenzieri, Angela
description
doi_str_mv 10.1182/blood-2022-168119
format Article
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title Artificial Intelligence-Enhanced Models to Predict Light Chain Amyloidosis from Patients with Monoclonal Gammopathy of Undetermined Significance and Smoldering Multiple Myeloma
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