PATENT CLAIM ANALYSIS

Application Number: 16006555
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["702", "019000"]

Abstract:
Various methods, systems, computer readable media, and graphical user interfaces (GUIs) are presented and described that enable a subject, doctor, or user to characterize or classify various types of cancer precisely. Additionally, described herein are methods, systems, computer readable media, and GUIs that enable more effective specification of treatment and improved outcomes for patients with identified types of cancer. Some embodiments of the methods, systems, computer readable media, and GUIs described herein comprise obtaining RNA expression data and/or whole exome sequencing (WES) data for biological samples; determining a respective plurality of molecular-functional (MF) profiles for a plurality of subjects; clustering the plurality of MF profiles to obtain MF profile clusters; determining a molecular-functional (MF) profile for an additional subject; and identifying, from among the MF profile clusters, a particular MF profile cluster with which to associate the MF profile for the subject.

Claim (Index 16):
The system of  claim 1 , wherein the system further comprises:\n obtaining RNA expression data for at least one additional biological sample obtained from the subject subsequent to administration of at least one first therapy; determining, using the RNA expression data for at least one additional biological sample obtained from the subject subsequent to administration of at least one therapy, a second MF profile for the subject, wherein the second MF profile is determined at least in part by determining, using the RNA expression data for at least one additional biological sample obtained from the subject subsequent to administration of at least one therapy, a gene group expression level for each gene group in a set of gene groups, the set of gene groups comprising gene groups associated with cancer malignancy and different gene groups associated with cancer microenvironment; and identifying, from among the MF profile clusters, an MF profile cluster with which to associate the MF profile for the subject.

Metadata:
- Claim Count in Document: 16.0
- Percentile: 94.0
- Lexical Diversity: 2.1375
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16006572', '16006340', '16006279', '12086712', '13992020']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1681821849756786
- 35 USC 102 Novelty (BERT): 0.6256025359057437
- Combined Prediction Score: 0.2139242200686851
- Mean Citation Score: 336.586644
- Max Citation Score: 745.8786
- Similarity Product: 493.7381568104267

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