Adis JournalsBrowse
Summary Slide.png (122.02 kB)
Download file

A Molecular Signature Response Classifier to Predict Inadequate Response to Tumor Necrosis Factor-ɑ Inhibitors: The NETWORK -004 Prospective Observational Study

Download (122.02 kB)
media
posted on 2021-06-18, 14:16 authored by Stanley Cohen, Alvin F. Wells, Jeffrey R. Curtis, Rajat Dhar, Theodore Mellors, Lixia Zhang, Johanna B. Withers, Alex Jones, Susan D. Ghiassian, Mengran Wang, Erin Connolly-Strong, Sarah Rapisardo, Zoran Gatalica, Dimitrios A. Pappas, Joel M. Kremer, Alif Saleh, Viatcheslav R. Akmaev

Article full text


The above summary slide represents the opinions of the authors. For a full list of declarations, including funding and author disclosure statements, please see the full text online (see “read the peer-reviewed publication” opposite).

© The authors, CC-BY-NC 2021.

History

References

Usage metrics

Read the peer-reviewed publication

A Molecular Signature Response Classifier to Predict Inadequate Response to Tumor Necrosis Factor-ɑ Inhibitors: The NETWORK -004 Prospective Observational Study
Rheumatology and TherapyRheumatology and Therapy

Categories

Keywords

drug response predictiongene expressionprecision medicineprospective observational studyrheumatoid arthritisTNF inhibitorplain language summary

Licence

CC BY-NC 4.0

Exports