Cytokinetics, Inc.

Telik, Inc.

Bill Operations, LLC

Lixin Meng

Fady Malik

Gail L Brown

Sangammohan Harimohan Singh

Stuart Kupfer

Stephen B Heitner

Laura Ann Robertson

Qi Wohltman

Anna Osmukhina

Changlin Zhang

The accuracy of existing machine learning models, software technologies, and computers are improved by using one or more machine learning models to predict a type of data that one or more numerical characters and/or one or more natural language word characters of a document correspond to. For instance, a Question Answering systems can be used to predict that a particular number value corresponds to a date, a billing amount, a page number, or the like.

Model for textual and numerical information retrieval in documents

Methods for treating obstructive hypertrophic cardiomyopathy are described herein. The treatment methods include the administration of a cardiac myosin inhibitor (CK-3773274, also referred to as CK-274 or aficamten) and may include titrating an administrated daily dose based on one or more components of an echocardiogram. The daily dose may be increased, maintained, decreased, or terminated, based on the echocardiogram.

Methods for treating hypertrophic cardiomyopathy

This invention generally relates to compositions and methods for treating myelodysplastic syndrome. In one embodiment, this invention relates to methods for treating myelodysplastic syndrome with ezatiostat or a salt thereof and lenalidomide.

Compositions and methods for treating myelodysplastic syndrome

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Cupertino, CA, United States of America

Lixin Meng