Scipher Medicine Corporation

Susan Dina Ghiassian

Keith J Johnson

Nancy J Schoenbrunner

Viatcheslav R Akmaev

Theodore R Mellors

Asher Ameli

Marc Santolini

Presented herein are systems and methods for developing classifiers useful for predicting response to particular treatments. For example, in some embodiments, the present disclosure provides a method of treating subjects suffering from an autoimmune disorder, the method comprising administering an alternative to anti-TNF therapy to subjects who have been determined to be non-responsive via a classifier established to distinguish between responsive and non-responsive prior subjects in a cohort who have received the anti-TNF therapy.

Methods of treating a subject suffering from rheumatoid arthritis with anti-TNF therapy based in part on a trained machine learning classifier

Presented herein are systems and methods for developing classifiers useful for predicting response to particular treatments. For example, in some embodiments, the present disclosure provides a method of treating subjects suffering from an autoimmune disorder, the method comprising a step of: administering an anti-TNF therapy to subjects who have been determined to be responsive via a classifier established to distinguish between responsive and non-responsive prior subjects in a cohort who have received the anti-TNF therapy.

Methods of treating a subject suffering from rheumatoid arthritis based in part on a trained machine learning classifier

Methods and systems for administering anti-TNF therapy to subjects who have been determined to display a gene expression response signature established to distinguish between responsive and non-responsive prior subjects who have received the anti-TNF therapy.

Methods and systems for predicting response to anti-TNF therapies

Method of treating a subject suffering from rheumatoid arthritis with anti-TNF therapy based on a trained machine learning classifier

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Vancouver, Canada

Susan Dina Ghiassian