TY  - JOUR
AU  - Carreras, Joaquim
AU  - Roncador, Giovanna
AU  - Hamoudi, Rifat
PY  - 2022
DO  - 10.3390/cancers14215318
SN  - 2072-6694
UR  - http://hdl.handle.net/20.500.12105/16140
AB  - Artificial intelligence (AI) can identify actionable oncology biomarkers. This research integrates our previous analyses of non-Hodgkin lymphoma. We used gene expression and immunohistochemical data, focusing on the immune checkpoint, and added a new...
LA  - eng
PB  - Multidisciplinary Digital Publishing Institute (MDPI)
KW  - GENE-EXPRESSION SIGNATURE
KW  - FOLLICULAR LYMPHOMA
KW  - BURKITTS-LYMPHOMA
KW  - MULTIPLE-MYELOMA
KW  - BREAST-CANCER
KW  - DIAGNOSIS
KW  - PROGNOSIS
KW  - ORIGIN
KW  - IDENTIFICATION
TI  - Artificial Intelligence Predicted Overall Survival and Classified Mature B-Cell Neoplasms Based on Immuno-Oncology and Immune Checkpoint Panels.
TY  - journal article
ER  -