Genentech, Inc.

Carsten Henneges

Yoonha Choi

Tina Geritz Nielsen

Carl Wilson Harris, Iii

Edward Jean Bataillard

Joseph Nathaniel Paulson

Daniel Jay Schneider

Systems and methods described herein improve outcomes of subjects with lymphoma. Subjects with lymphoma may be able to avoid conventional treatments that have a high probability of leading to an adverse effect in the subject. Systems and methods allow for a more accurate prediction of subjects who cannot tolerate a particular treatment. Methods may include accessing an input data set that includes multiple input data values pertaining to a particular subject with lymphoma. The method may further include inputting the input data set into a machine-learning model to generate a score corresponding to the degree to which the particular subject will tolerate a particular treatment. The method may include outputting a prediction of the tolerance of the particular subject to the particular treatment using the generated score.

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South San Francisco, CA, United States of America

Carsten Henneges