Roche Molecular Systems, Inc.

Vishakha Sharma

Cindy K Barnard

Sambasivarao Byrapuneni

Catherine M Jeu

Kaushal D Parekh

Raman Ramanathan

Rengaraja Kesavan

David M Schlossman

Archana P Dorge

Diwakar Chapagain

Elizabeth Little

Marc Mailman

Maciej Laskowski

Wojciech Kaczmarek

Maciej Chmielarski

Szymon Dolata

Tomasz Sciurka

Veronica Nemmer

Qianwei Xie

Yogesh P Pandit

Tod M Klingler

Antoaneta Petkova Vladimirova

Hari Singhal

Ram Balasubramanian

In one example, a method being performed by a computer system comprises: receiving an image file containing a pathology report; performing an image recognition operation on the image file to extract input text strings; detecting, using a natural language processing (NLP) model, entities from the input text strings, each entity including a label and a value; extracting, using the NLP model, the values of the entities from the input text strings; converting, based on a mapping table that maps entities and values to pre-determined terminologies, the values of at least some of the entities to the corresponding pre-determined terminologies; and generating a post-processed pathology report including the entities detected from the input text strings and the corresponding pre-determined terminologies.

Automated information extraction and enrichment in pathology report using natural language processing

Display screen or portion thereof with graphical user interface for patient timeline navigation

Display screen or portion thereof with graphical user interface for modifying a report with an abstraction tool

Display screen or portion thereof with graphical user interface for manually abstracting text with an abstraction tool

Display screen or portion thereof with graphical user interface for publishing a report with an abstraction tool

Display screen or portion thereof with graphical user interface for selecting a report with an abstraction tool

Display screen or portion thereof with graphical user interface for selecting text with an abstraction tool

Methods and systems for performing a clinical prediction are provided. In one example, the method comprises: receiving first molecular data of a patient, the first molecular data including at least gene expressions of the patient; receiving first biopsy image data of the patient; processing, using a machine learning model, the first molecular data and the first biopsy image data to perform a clinical prediction of the patient's response to a treatment, wherein the machine learning model is generated or updated based on second molecular data including at least gene expressions and second biopsy image data of a plurality of patients; and generating an output of the clinical prediction.

Multimodal machine learning based clinical predictor

Display screen or portion thereof with graphical user interface for interactive guidelines for multidisciplinary cancer treatment planning

Growing community of inventors

Foster City, CA, United States of America

Vishakha Sharma