Abstract: Ani-CD20 antibodies (e.g., UniAbs™) and CAR-T structures are disclosed, along with methods of making such antibodies and CAR-T structures, compositions, including pharmaceutical compositions, comprising such antibodies and CAR-T structures, and their use to treat disorders that are characterized by the expression of CD20.

Abstract: Described herein are techniques of using machine learning to automatically extract clinical variable values for subjects from clinical record data. The techniques designate certain clinical variables as hybrid variables that can be assigned values by machine learning model prediction. The techniques process, using a machine learning model trained to predict a value of a hybrid variable, clinical record data associated with a subject to obtain a predicted hybrid variable value and an associated confidence score. The techniques set the value of the hybrid variable for the subject to the predicted hybrid variable value when the model prediction is of sufficiently high confidence.