PATENT CLAIM ANALYSIS

Application Number: 16006279
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["702", "019000"]

Abstract:
Techniques for generating therapy biomarker scores and visualizing same. The techniques include determining, using a patient's sequence data and distributions of biomarker values across one or more reference populations, a first set of normalized scores for a first set of biomarkers associated with a first therapy, and a second set of normalized scores for a second set of biomarkers associated with a second therapy, generating a graphical user interface (GUI) including a first portion associated with the first therapy and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the first set of normalized scores; and a second portion associated with a second therapy and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the second set of normalized scores; and displaying the generated GUI.

Claim (Index 25):
At least one non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the at least one computer hardware processor, cause the at least one computer hardware processor to perform:\n obtaining sequencing data about at least one biological sample of a subject; accessing, in at least one database, biomarker information indicating a distribution of values for each biomarker in at least a reference subset of a plurality of biomarkers across a respective group of people, each of the plurality of biomarkers being associated with at least one therapy in a plurality of therapies; determining, using the sequencing data and the biomarker information:\n a first set of normalized scores for a first set of biomarkers associated with a first therapy in the plurality of therapies; and \n a second set of normalized scores for a second set of biomarkers associated with a second therapy in the plurality of therapies, wherein the first set of biomarkers is different from the second set of biomarkers; \n providing the first set of normalized scores as input to a statistical model to obtain a first therapy score for the first therapy; providing the second set of normalized scores as input to the statistical model to obtain a second therapy score for the second therapy; generating a graphical user interface (GUI), wherein the GUI comprises:\n a first portion associated with the first therapy in the plurality of therapies, the first portion including a first plurality of GUI elements, each of the first plurality of GUI elements being associated with a respective biomarker in the plurality of biomarkers and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the first set of normalized scores; and \n a second portion associated with the second therapy in the plurality of therapies, the second portion including a second plurality of GUI elements different from the first plurality of GUI elements, each of the second plurality of GUI elements being associated with a respective biomarker in the plurality of biomarkers and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the second set of normalized scores; and \n displaying the generated GUI.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 94.0
- Lexical Diversity: 2.53333
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16006340', '16006572', '16006555', '14855229', '15213243']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1832820922022136
- 35 USC 102 Novelty (BERT): 0.6375404483314797
- Combined Prediction Score: 0.2287079278151403
- Mean Citation Score: 343.508634
- Max Citation Score: 611.631
- Similarity Product: 547.0459384261966

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test