PATENT CLAIM ANALYSIS

Application Number: 15880303
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-09
Patent Classification: ["435", "007100"]

Abstract:
The present invention provides methods for identifying biomarkers of disease capable of affecting cognitive function. The biomarkers identified by the methods of the prevention may be used for predicting whether a mammal will develop a disease capable of affecting cognitive function. More specifically, the present invention relates to the identification of biomarkers predictive of neurological diseases in a mammal and the use of these biomarkers in the diagnosis, differential diagnosis, and/or prognosis of the neurological disease. The methods and systems provided enable an assessment and theoretical prediction of neocortical amyloid loading based on the measurement of biomarkers that will provide an indication of whether a mammal is likely to develop a neurological disease.

Claim (Index 2):
The method of  claim 1  wherein validating the isolated molecule as a biomarker comprises the steps of:\n (a) identifying a level of the first molecule with heparin binding affinity in the first sample that is positive for a neurological disease; \n (b) identifying a level of another biomarker previously defined as being characteristic for mammals diagnosed with the neurological disease present in the first sample; \n (c) comparing the level of the first molecule identified in step (a) with the level of the another biomarker identified in step (b) to identify a statistically significant relationship between the level of the isolated first molecule and the level of the another biomarker; \n (d) repeating steps (a)-(c) in a second sample obtained from a control to determine whether the relationship identified in the first sample is identified in the second sample; and \n (e) concluding that the first molecule is a biomarker of the neurological disease if the relationship identified in the first sample is not identified in the second sample.

Metadata:
- Claim Count in Document: 37.0
- Percentile: 86.0
- Lexical Diversity: 1.90476
- Patent Class: 435.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11910721', '15505317', '11911962', '15640545', '10982545']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6248816739524868
- 35 USC 102 Novelty (BERT): 0.5058021821076217
- Combined Prediction Score: 0.6129737247680004
- Mean Citation Score: 253.206834
- Max Citation Score: 271.75677
- Similarity Product: 192.15530133381844

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

Dataset: test