Scipher Medicine Corporation

Keith J Johnson

Viatcheslav R Akmaev

Theodore R Mellors

Marc Santolini

Asher Ameli

Nancy J Schoenbrunner

Susan Dina Ghiassian

Susan Ghiassian

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.

Method of monitoring anti-TNF therapy in a subject suffering from rheumatoid arthritis based in part on a trained machine learning classifier

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

Methods of treating a subject suffering from an autoimmune disease, disorder, or condition with an alternative to anti-TNF therapy.

Methods of treating a subject with an alternative to anti-TNF therapy

Methods of treating a subject suffering from rheumatoid arthritis with alternative to 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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Wayland, MA, United States of America

Keith J Johnson