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Identification of a Rule to Predict Response to Sarilumab in Patients with Rheumatoid Arthritis Using Machine Learning and Clinical Trial Data.
Rehberg, Markus; Giegerich, Clemens; Praestgaard, Amy; van Hoogstraten, Hubert; Iglesias-Rodriguez, Melitza; Curtis, Jeffrey R; Gottenberg, Jacques-Eric; Schwarting, Andreas; Castañeda, Santos; Rubbert-Roth, Andrea; Choy, Ernest H S.
Affiliation
  • Rehberg M; Sanofi, Frankfurt, Germany.
  • Giegerich C; Sanofi, Frankfurt, Germany.
  • Praestgaard A; Sanofi, Cambridge, MA, USA.
  • van Hoogstraten H; Sanofi, Cambridge, MA, USA.
  • Iglesias-Rodriguez M; Sanofi, Cambridge, MA, USA.
  • Curtis JR; Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, AL, USA.
  • Gottenberg JE; Strasbourg University Hospital, Strasbourg, France.
  • Schwarting A; Acura Kliniken Rheinland-Pfalz AG, Bad Kreuznach, Germany.
  • Castañeda S; University Center of Autoimmunity, University Medical Center Mainz, Mainz, Germany.
  • Rubbert-Roth A; Rheumatology Division, Hospital Universitario de La Princesa, IIS-IP and EPID-Future Cátedra, Autónoma University of Madrid (UAM), Madrid, Spain.
  • Choy EHS; Kantonsspital St Gallen, St Gallen, Switzerland.
Rheumatol Ther ; 8(4): 1661-1675, 2021 Dec.
Article in En | MEDLINE | ID: mdl-34519964
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Rheumatol Ther Year: 2021 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Rheumatol Ther Year: 2021 Document type: Article Affiliation country: Country of publication: