Bibliographic Details
| Title: |
P812: PREDICTING HIGH-RISK DISEASE BIOLOGY USING ARTIFICIAL INTELLIGENCE BASED FDG PET/CT RADIOMICS IN NEWLY DIAGNOSED MULTIPLE MYELOMA |
| Authors: |
Jacob Shreve, Charalampos Charalampous, Taxiarchis Kourelis, Josh Pritchett, Yi Hwa, Jonas Paludo, Wilson Gonsalves, Yi Lin, Mithun Shah, Miriam Hobbs, Joselle Cook, Martha Lacy, Angela Dispenzieri, Stephen Broski, Vincent Rajkumar, Shaji Kumar, Moritz Binder |
| Source: |
HemaSphere, Vol 7, p e0586106 (2023) |
| Publisher Information: |
Wiley, 2023. |
| Publication Year: |
2023 |
| Collection: |
LCC:Diseases of the blood and blood-forming organs |
| Subject Terms: |
Diseases of the blood and blood-forming organs, RC633-647.5 |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2572-9241 |
| Relation: |
http://journals.lww.com/10.1097/01.HS9.0000970152.05861.06; https://doaj.org/toc/2572-9241 |
| DOI: |
10.1097/01.HS9.0000970152.05861.06 |
| Access URL: |
https://doaj.org/article/d8eeccc1166e4944adb741d62cd1cb7f |
| Accession Number: |
edsdoj.8eeccc1166e4944adb741d62cd1cb7f |
| Database: |
Directory of Open Access Journals |
