PATENT CLAIM ANALYSIS

Application Number: 16011236
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["436", "513000"]

Abstract:
In various implementations, a noninvasive, food sensitivity test may be utilized to identify one or more food sensitivities. A fecal sample may be obtained. The food sensitivity test may be performed on the obtained fecal sample. One or more food sensitivities may be identified based on the food sensitivity test.

Claim (Index 1):
A diagnostic test kit to identify food sensitivity in humans, wherein the kit comprises:\n a diagnostic test to identify the presence of a first set of food sensitivities in a human, wherein the diagnostic test comprises:\n a substrate; and \n a test region, wherein the test region comprises one or more antibody binding agents coupled to the substrate, wherein at least one of the antibody binding agents is adapted to couple to one or more first antibodies associated with one or more food sensitivities in the first set of food sensitivities when one or more of the first antibodies is present in a fecal sample obtained from the human; \n wherein the diagnostic test is configured to contact the fecal sample of the human to allow identification of the presence of the first set of food sensitivities; and wherein one or more of the first antibodies, if present in the fecal sample, is transferred to the test region of the diagnostic test by the contact.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 1.86667
- Patent Class: 436.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11899670', '12995037', '12960031', '12545041', '12465603']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6938323502931031
- 35 USC 102 Novelty (BERT): 0.4711695034700611
- Combined Prediction Score: 0.6715660656107989
- Mean Citation Score: 203.846202
- Max Citation Score: 223.16379
- Similarity Product: 181.8684855159169

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

Dataset: test