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Analysis

1.20210132076MOLECULAR NEIGHBORHOOD DETECTION BY OLIGONUCLEOTIDES
US 06.05.2021
Int.Class G01N 33/68
GPHYSICS
01MEASURING; TESTING
NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
33Investigating or analysing materials by specific methods not covered by groups G01N1/-G01N31/131
48Biological material, e.g. blood, urine; Haemocytometers
50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
68involving proteins, peptides or amino acids
Appl.No 17146165 Applicant Board of Regents, The University of Texas System Inventor Edward MARCOTTE

The present disclosure provides methods for molecular neighborhood detection of molecules, such as by iterative proximity ligation or split-and-pool methods for obtaining positional information.

2.20210133303METHOD AND DEVICE FOR COMPARING PERSONAL BIOLOGICAL DATA OF TWO USERS
US 06.05.2021
Int.Class G06F 21/32
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
21Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
30Authentication, i.e. establishing the identity or authorisation of security principals
31User authentication
32using biometric data, e.g. fingerprints, iris scans or voiceprints
Appl.No 17146919 Applicant DNANudge Limited Inventor Christofer TOUMAZOU

A computer-implemented method of comparing one or more genetic traits of two users. Each user has a wearable device storing data indicative of the one or more genetic traits, the data having been obtained by an analysis of a biological sample provided by the user. The method comprises: transmitting the data indicative of the one or more genetic traits from a first of the wearable devices to a first computer device using a short-range wireless data connection; transmitting the data from the first computer device to a second computer device over a data network; transmitting the data from the second computer device to a second of the wearable devices over a short-range wireless data connection; and comparing the data from the first wearable device with the data stored on the second wearable device to determine whether there is a match between the users' one or more genetic traits.

3.20210130810DEEP LEARNING ENABLED SPATIAL OPTICAL BARCODES FOR POOLED LIBRARY SCREENS
US 06.05.2021
Int.Class C12N 15/10
CCHEMISTRY; METALLURGY
12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
NMICROORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING, OR MAINTAINING MICROORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
15Mutation or genetic engineering; DNA or RNA concerning genetic engineering, vectors, e.g. plasmids, or their isolation, preparation or purification; Use of hosts therefor
09Recombinant DNA-technology
10Processes for the isolation, preparation or purification of DNA or RNA
Appl.No 17088594 Applicant California Institute of Technology Inventor Morgan S. Schwartz

Disclosed herein include systems, methods, and compositions for determining perturbations in single cells or performing integrated measurements using, for example, plasmids each comprising (i) a perturbation gRNA with a guide region targeting a chromosome sequence and (ii) barcode gRNAs each with a guide region targeting predetermined spatial region of the genome and zero, one, or more optical detection probe binding sites.

4.20210130899Method of Treatment Using Genetic Predictors of a Response to Treatment with CRHR1 Antagonists
US 06.05.2021
Int.Class C12Q 1/6883
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
6876Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
6883for diseases caused by alterations of genetic material
Appl.No 17145776 Applicant HMNC Diagnostics GmbH Inventor Florian Holsboer

Methods of treating a condition which is treatable with SSR-125543 or a pharmaceutically acceptable salt thereof in a subject in need thereof are provided. The methods of treatment include predicting a treatment response of a subject to a treatment with SSR-125543 and/or detecting a polymorphism genotype associated with a treatment response of a subject to treatment with SSR-125543. Sets of at least one polymorphism genotype useful in the predicting and/or detecting steps are also disclosed.

5.WO/2021/086595USING MACHINE LEARNING-BASED TRAIT PREDICTIONS FOR GENETIC ASSOCIATION DISCOVERY
WO 06.05.2021
Int.Class G16B 20/00
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
20ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
Appl.No PCT/US2020/055348 Applicant GOOGLE LLC Inventor MCLEAN, Cory
A method for producing highly accurate, iow cost phenotype labels for a cohort of individual using a machine learning model. The model is trained to predict phenotype labels from routine clinical data. We describe routine clinical data in the form of fundus images and making predictions as to phenotypes associated with eye diseases, such as glaucoma, however the methodology is more generally applicable to phenotype assignment from clinical data. The model is applied to a cohort of interest which includes both genomic data and the same type of routine clinical data. The model produces phenotype labels for each of the members of the cohort of interest. We then conduct a genetic association test (e.g., GW AS) on the cohort of interest using the phenotype labels produced by the model along with associated genomic data and identify genomic information (e.g., specific loci in the genome) associated with the phenotype.
6.WO/2021/085704SYSTEM FOR MEASURING AND MANAGING HEALTH OF PET USING NON-INVASIVE TEST, AND METHOD THEREOF
WO 06.05.2021
Int.Class G16H 50/30
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
30for calculating health indices; for individual health risk assessment
Appl.No PCT/KR2019/014816 Applicant CLINOMICS CO. Inventor BHAK, Jong Hwa
The present invention relates to a system for measuring and managing the health of a pet using a non-invasive test, and a method thereof, and addresses the technical problem of providing a more effective solution that makes it possible to inspect the health of a pet more accurately in a non-invasive gene test manner to allow a pet owner to easily know the health of the pet, and is for improving the health of the pet through pet food or treats. As an example, disclosed is a system for measuring and managing the health of a pet using a non-invasive test, the system comprising: a kit for extracting and collecting saliva from the pet; a gene test part for performing a gene test using the saliva collected in the kit, and calculating a health index of the pet on the basis of the gene test result; and a solution providing part for providing a solution for improving the health of the pet according to the health index, and product advertisement content related to the solution.
7.20210128498TARGETED DRUGS ASSOCIATED WITH TRIMETHYLAMINE AND/OR TRIMETHYLAMINE-N-OXIDE
US 06.05.2021
Int.Class A61K 31/165
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
KPREPARATIONS FOR MEDICAL, DENTAL, OR TOILET PURPOSES
31Medicinal preparations containing organic active ingredients
16Amides, e.g. hydroxamic acids
165having aromatic rings, e.g. colchicine, atenolol, progabide
Appl.No 16638779 Applicant Psomagen, Inc. Inventor Zachary APTE

Embodiments of a method and/or system can include administering, to a patient with one or more conditions associated with at least one of TMA, TMAO, and/or derivatives thereof, a therapeutically effective amount of a compound for affecting inhibiting one or more CutC enzymes and/or CntA enzymes associated with microorganisms from at least one taxon from a set of microorganism taxa.

8.WO/2021/086335IN SILICO GENOMIC VARIANT IDENTIFICATION
WO 06.05.2021
Int.Class G06F 19/00
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
19Digital computing or data processing equipment or methods, specially adapted for specific applications
Appl.No PCT/US2019/058646 Applicant FOUNDATION MEDICINE, INC. Inventor HUGHES, Jason Darryl
The present disclosure is directed to in silico techniques for identifying of genomic variants, and more specifically to iterative graph- based techniques for identifying genomic variants. An exemplary electronic device comprises one or more processors; a memory: and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for constructing a first graph representation of at least a portion of a reference sequence; constructing a second graph representation based on sequence reads associated with an individual and the first graph representation; identifying one or more candidate variants based on the second graph representation; and repeating the process by the one or more processors in accordance with a determination that termination conditions are not met.
9.WO/2021/087491APPLICATION OF MOSAICISM RATIO IN MULTIFETAL GESTATIONS AND PERSONALIZED RISK ASSESSMENT
WO 06.05.2021
Int.Class G16B 20/10
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
10Ploidy or copy number detection
Appl.No PCT/US2020/058608 Applicant SEQUENOM, INC. Inventor RAFALKO, Jill
Provided herein are bioinformatic tools and processes used to classify the presence or absence of genetic mosaicism for a copy number variation in one or more fetuses (e.g., predict whether one fetus or more than one fetus is affected with the copy number variation). Sample nucleic acid is subjected to a sequencing process and the resulting sequence reads are analyzed to identify a genetic copy number variation region. A genetic mosaicism for the copy number variation region is classified for one fetus or more than one fetus based on: (i) a mosaicism ratio of a fraction of nucleic acid having the copy number variation region to a fraction of fetal nucleic acid, and (ii) the chromosome having the genetic copy number variation region (e.g., the type of aneuploidy identified) or (ii) a number of fetuses being carried by the pregnant female.
10.WO/2021/085676ARTIFICIAL INTELLIGENCE-BASED ATOPIC DERMATITIS PREDICTION METHOD AND PREVENTATIVE PRODUCT-RECOMMENDATION METHOD
WO 06.05.2021
Int.Class G16H 50/30
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
30for calculating health indices; for individual health risk assessment
Appl.No PCT/KR2019/014513 Applicant INOGENIX CO., LTD. Inventor LEE, Hye Jon
The present invention provides an artificial intelligence-based atopic dermatitis prediction method, and preventative product-recommendation method and system, the prediction method comprising the steps of: receiving read-out result data of an examination kit using PCR-REBA; and predicting the probability of the onset of atopic dermatitis by applying an AI analysis on the basis of the read-out result data.