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 13):
The system of  claim 1 , wherein the system further comprises:\n determining at least one visual characteristic of a first graphical user interface (GUI) element using a first gene group expression level for at least one gene group associated with cancer malignancy and at least one visual characteristic of a second GUI element using a second gene group expression level for at least one gene group associated with cancer microenvironment; generating a personalized GUI personalized to the subject, the GUI comprising:\n a first portion associated with cancer malignancy and containing the first GUI element; and \n a second portion associated with cancer microenvironment and containing the second GUI element, wherein the second portion is different from the first portion; and presenting the generated personalized GUI to a user.

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): 0.1657299361392592
- 35 USC 102 Novelty (BERT): 0.6370533177592645
- Combined Prediction Score: 0.2128622743012598
- Mean Citation Score: 336.586644
- Max Citation Score: 745.8786
- Similarity Product: 525.3155746758699

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