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Analysis

1 / 346
1.20240071569APPARATUSES, SYSTEMS, AND METHODS FOR EXTRACTING MEANING FROM DNA SEQUENCE DATA USING NATURAL LANGUAGE PROCESSING (NLP)
US - 29.02.2024
Int.Class G16B 40/00
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
40ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
 Appl.No 18034417 Applicant BASF CORPORATION Inventor Erin Marie Davis

Apparatuses, systems, and methods are provided that may analyze deoxyribonucleic add (DNA) sequence data using a natural language processing (NLP) model to, for example, identify genetic elements such as known and/or novel cis-regulatory elements {e.g., known and/or putative novel drought-responsive cis-regulatory elements (DREs)). Apparatuses, systems, and methods are also provided that may identify transcriptional regulators {e.g., upstream transcriptional regulators of a novel putative DRE) based on natural language processing (NLP) model data and expression genome-wide association study (eGWAS) data. Apparatuses, systems, and methods are also provided that may verify putative novel cis-regulatory elements based on a comparison of natural language processing (NLP) model output data and other model output data.

2.20220139498APPARATUSES, SYSTEMS, AND METHODS FOR EXTRACTING MEANING FROM DNA SEQUENCE DATA USING NATURAL LANGUAGE PROCESSING (NLP)
US - 05.05.2022
Int.Class G16B 40/00
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
40ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
 Appl.No 17088734 Applicant BASF CORPORATION Inventor Erin Marie Davis

Apparatuses, systems, and methods are provided that may analyze deoxyribonucleic add (DNA) sequence data using a natural language processing (NLP) model to, for example, identify genetic elements such as known and/or novel cis-regulatory elements (e.g., known and/or putative novel drought-responsive cis-regulatory elements (DREs)). Apparatuses, systems, and methods are also provided that may identify transcriptional regulators (e.g., upstream transcriptional regulators of a novel putative DRE) based on natural language processing (NLP) model data and expression genome-wide association study (eGWAS) data. Apparatuses, systems, and methods are also provided that may verify putative novel cis-regulatory elements based on a comparison of natural language processing (NLP) model output data and other model output data.

3.WO/2022/098588APPARATUSES, SYSTEMS, AND METHODS FOR EXTRACTING MEANING FROM DNA SEQUENCE DATA USING NATURAL LANGUAGE PROCESSING (NLP)
WO - 12.05.2022
Int.Class C12Q 1/68
CCHEMISTRY; METALLURGY
12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
1Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
68involving nucleic acids
 Appl.No PCT/US2021/057491 Applicant BASF CORPORATION Inventor DAVIS, Erin, Marie
Apparatuses, systems, and methods are provided that may analyze deoxyribonucleic add (DNA) sequence data using a natural language processing (NLP) model to, for example, identify genetic elements such as known and/or novel cis-regulatory elements {e.g., known and/or putative novel drought-responsive cis-regulatory elements (DREs)). Apparatuses, systems, and methods are also provided that may identify transcriptional regulators {e.g., upstream transcriptional regulators of a novel putative DRE) based on natural language processing (NLP) model data and expression genome-wide association study (eGWAS) data. Apparatuses, systems, and methods are also provided that may verify putative novel cis-regulatory elements based on a comparison of natural language processing (NLP) model output data and other model output data.
4.20230359889Machine learning methods and systems for characterizing corn growth efficiency
US - 09.11.2023
Int.Class G06N 3/08
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computing arrangements based on biological models
02Neural networks
08Learning methods
 Appl.No 18184220 Applicant ADVANCED AGRILYTICS HOLDINGS, LLC Inventor William Kess Berg

A computing system includes a processor; and one or more non-transitory, computer-readable storage media storing: a trained machine learning model; and machine-readable instructions that, when executed by the one or more processors, cause the computing system to: process agronomic input feature vectors to generate one or more predicted corn growth efficiency values; and provide the corn growth efficiency values as output. A computing system includes a processor; and one or more non-transitory, computer-readable storage media storing machine-readable instructions that, when executed by the one or more processors, cause the computing system to: process labeled agronomic data with a machine learning model to generate one or more predicted corn growth efficiency values; and modify a parameter of the machine learning model. A computer-implemented method includes processing labeled agronomic data with a machine learning model to generate corn growth efficiency values; and modifying a parameter of the machine learning model.

5.WO/2023/021262METHODS OF DETERMINING ANIMAL PHENOTYPES
WO - 23.02.2023
Int.Class G01N 21/3577
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
21Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
17Systems in which incident light is modified in accordance with the properties of the material investigated
25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
35using infrared light
3577for analysing liquids, e.g. polluted water
 Appl.No PCT/GB2021/052135 Applicant SCOTLAND'S RURAL COLLEGE Inventor COFFEY, Mike
The present invention relates to the analysis for mid-infrared spectra obtained from an animals milk to determine an animal phenotype. The invention uses statistically based methods to determine features of phenotypes such as disease state, pregnancy state, methane production and feed intake of animals. The methods involve the use of machine learning models such as neural networks and decision trees in order to predict or determine an animal phenotype allowing an animal owner to make informed decisions based on the animals phenotype.
6.20220318577SYSTEMS AND METHODS FOR DERIVING LEADING INDICATORS OF ECONOMIC ACTIVITY USING PREDICTIVE ANALYTICS
US - 06.10.2022
Int.Class G06K 9/62
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for recognising patterns
62Methods or arrangements for pattern recognition using electronic means
 Appl.No 17840390 Applicant Brian McCarson Inventor Brian McCarson

Predictive analytics techniques are used to produce leading indicators of economic activity based on factors determined from a range of available data sources, such as public and/or private transportation data. A fee-based subscription system may be provided for the sharing of leading indicators to users. A consistent, semantic metadata structure is described as well as a hypothesis generating and testing system capable of generating predictive analytics models in a non-supervised or partially supervised mode.

7.20210264225Systems and methods for deriving leading indicators of future manufacturing, production, and consumption of goods and services
US - 26.08.2021
Int.Class G06K 9/62
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for recognising patterns
62Methods or arrangements for pattern recognition using electronic means
 Appl.No 16797640 Applicant Brian McCarson Inventor Brian McCarson

Predictive analytics techniques are used to produce leading indicators of economic activity based on factors determined from a range of available data sources, such as public and/or private transportation data. A fee-based subscription system may be provided for the sharing of leading indicators to users. A consistent, semantic metadata structure is described as well as a hypothesis generating and testing system capable of generating predictive analytics models in a non-supervised or partially supervised mode.

8.20210134459Systems and methods for predicting animal health
US - 06.05.2021
Int.Class G06F 15/18
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
15Digital computers in general; Data processing equipment in general
18in which a program is changed according to experience gained by the computer itself during a complete run; Learning machines
 Appl.No 16670263 Applicant International Business Machines Corporation Inventor Vanadis M. Crawford

Embodiments provide systems and methods for predicting animal health of future generations of animals. Historical health and environmental data are collected and analyzed using machine learning to predict animal health of future generations and to understand which factors of health and environmental data affect animal health. Analysis also provides other insights relative to the field of animal husbandry such as anomaly detection.

9.WO/2025/080804DIGITAL TWIN OF END-TO-END CROP BREEDING PIPELINES
WO - 17.04.2025
Int.Class G16B 20/40
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
20ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
40Population genetics; Linkage disequilibrium
 Appl.No PCT/US2024/050729 Applicant PIONEER HI-BRED INTERNATIONAL, INC. Inventor BEATTY, Andrew Paul
Systems, methods, and apparatuses for system for developing crop varieties are described. Crop breeding pipeline data comprising crop breeding development stages, genome edited variants, and transgenic events associated with an end-to-end breeding pipeline data for crop varieties at different locations may be received. Genotype data, phenotype data, soil data, and environmental data may be acquired and used to generate an end-to-end breeding pipeline digital twin that simulates states of the crop varieties at different crop development stages of the crop breeding pipeline including for genome edited plants. A machine learning model may process the genotype data, phenotype data, soil data, environmental data, and crop breeding pipeline data and generate breeding actions to perform with respect to the crop development stages. Crop development actions include performing breeding crosses, evaluating genome edits, transgenic traits, hybrid testing, variety testing, and crop selection.
10.WO/2024/182706AUTOMATED ADJUSTMENT OF CROP DEVELOPMENT ESTIMATES
WO - 06.09.2024
Int.Class G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
 Appl.No PCT/US2024/018083 Applicant PIONEER HI-BRED INTERNATIONAL, INC. Inventor BRAUER, Karl
Systems, methods, and apparatuses for generating crop development estimates are described. A mechanized harvester may acquire ground-based samples associated with a trait of a crop variety from sample locations. An image capture device may acquire images associated with a trait of the crop variety in the sample locations. Ground-based estimates and raw estimates may be generated using the acquired images and machine learning models, and the differences determined between the raw estimates and ground-based estimates. A predictive analysis of the raw estimates and the ground-based estimates may be used to determine a correction factor. Images of the crop variety in a second location that is not included in the sample locations may be acquired and used to generate additional raw estimates. And a corrected estimate may be generated based on fitting the correction factor to the additional raw estimates.
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