Machine learning using genetic and clinical data identifies a signature that robustly predicts methotrexate response in rheumatoid arthritis
10.1093/rheumatology/keac032
Saved in:
Main Authors: | Lim, Lee Jin, Lim, Ashley JW, BRANDON OOI NICK SERN, Tan, Justina Wei Lynn, Koh, Ee Tzun, Group, Ttsh Rheumatoid Arthritis Study, Chong, Samuel S, Khor, Chiea Chuen, Tucker-Kellogg, Lisa, Lee, Caroline G, Leong, Khai Pang |
---|---|
Other Authors: | BIOCHEMISTRY |
Format: | Article |
Language: | English |
Published: |
OXFORD UNIV PRESS
2022
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/226870 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
The role of platelet rich plasma in knee joint pain
by: Thursina, Cempaka, et al.
Published: (2022) -
Unconstrained one-stage total knee arthroplasty PS design in patient with secondary osteoarthritis due to granulomatous infection with medial femoral condyle defect: A case report
by: Rahmansyah, Nur, et al.
Published: (2022) -
Comparative studies of quality and bioavailability of methotrexate in thai patients with rheumatoid arthritis / Prathan Somrith
by: Prathan Somrith
Published: (2014) -
FAKTOR-FAKTOR RESIKO YANG MEMPENGARUHI ANGKA KEJADIAN FRAKTUR COLLUM FEMUR DI RSUP DR.SARDJITO (2013-2014)
by: Fahry, Helmiza
Published: (2016) -
Allopurinol-Induced Stevens–Johnson Syndrome in Javanese Men With Positive HLA-B*58:01
by: Ferdiana, Astri, et al.
Published: (2022)