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Analysis

1.WO/2021/011507ADAPTIVE ORDER FULFILLMENT AND TRACKING METHODS AND SYSTEMS
WO 21.01.2021
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/US2020/041862 Applicant TEMPUS LABS Inventor JAROS, Charles
A genomic test processing system and method employ an order management engine and one or more order processing engines, the order processing engines including a receiving engine, an execution engine, and a broadcasting engine. The receiving engine receives a state of an order from the order management engine. The execution engine determines a sequence of steps to advance the received state of an order to a final state, iteratively designates each step of the sequence of steps as completed before initiating the next step of the sequence of steps, and advances the state of the order to a final state when a last step of the sequence of steps is completed. The broadcasting engine broadcasts the final state of the order to the order management engine. The order management engine causes one of the order processing engines to generate a next-generation sequencing report from the final state of the order.
2.WO/2021/011491IMPROVING DIAGNOSIS FOR VARIOUS DISEASES USING TUMOR MICROENVIRONMENT ACTIVE PROTEINS
WO 21.01.2021
Int.Class G16B 25/00
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
25ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
Appl.No PCT/US2020/041838 Applicant OTRACES INC. Inventor KRASIK, Galina
Systems and methods for disease diagnosis through the detection of multiple biomarkers by receiving concentration values of biomarkers, building a training set using the samples of the biomarkers, and performing correlation calculations on the biomarker concentration values to diagnose the disease.
3.WO/2021/010670DATA PROCESSING METHOD AND SYSTEM USING AUTO-THRESHOLDING
WO 21.01.2021
Int.Class G16B 50/00
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
50ICT programming tools or database systems specially adapted for bioinformatics
Appl.No PCT/KR2020/009095 Applicant DEEP BIO INC. Inventor KIM, Jee Eun
Disclosed are a method for automatically calculating a threshold for classifying clusters from a reference data set and processing data by using same, and a system for performing same. According to an aspect of the present invention, provided is a data processing method using auto-thresholding, the data processing method comprising the steps of: receiving, by a data processing system, as an input, a plurality of individual numerical values included in a reference data set having two or more clusters; on the basis of each of the numerical values included in the reference data set received as an input, calculating, by the data processing system, a threshold for dividing a cluster of the reference data set; and dividing, by the data processing system, into different clusters by using the threshold, each of at least one data set to be analyzed, having a plurality of individual numerical values.
4.WO/2021/008878METHOD FOR EPIDEMIOLOGICAL IDENTIFICATION AND MONITORING OF A BACTERIAL OUTBREAK
WO 21.01.2021
Int.Class G16H 50/80
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
80for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
Appl.No PCT/EP2020/068611 Applicant BIOMÉRIEUX Inventor KANEKO, Gaël
The invention relates to a method for detecting and monitoring a bacterial outbreak comprising the prediction that a collected bacterial strain and a bacterial strain from a database belong to the bacterial outbreak if their genomic distance is less than a first predetermined threshold, do not belong to the bacterial outbreak if their genomic distance is greater than a second predetermined threshold which is strictly greater than the first threshold or may belong to the bacterial outbreak if their genetic distance is in between. The first threshold is greater than or equal to a third threshold, such that a prediction that two bacterial strains with a genomic distance less than the third threshold belong to the bacterial outbreak has a maximum specificity. The second threshold is less than or equal to a fourth threshold, such that a prediction that two bacterial strains with a genomic distance greater than the fourth threshold do not belong to the bacterial outbreak has a maximum sensitivity.
5.WO/2021/007457USE OF SNCA-MEDIATED GENES FOR DIAGNOSIS AND TREATMENT OF PARKINSON'S DISEASE
WO 14.01.2021
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/US2020/041452 Applicant URFER-BUCHWALDER, Anne Inventor URFER-BUCHWALDER, Anne
The present invention provides compositions and methods using SNCA-mediated genes and expression products thereof for diagnosis, treatment and prevention of Parkinson's disease. The present invention also relates to a method of identifying therapeutic agents to treat and diagnose Parkinson's disease based on SNCA-mediated genes.
6.WO/2021/005332IDENTIFYING ONE OR MORE COMPOUNDS FOR TARGETING A GENE
WO 14.01.2021
Int.Class G16H 50/70
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
70for mining of medical data, e.g. analysing previous cases of other patients
Appl.No PCT/GB2020/051549 Applicant BENEVOLENTAI TECHNOLOGY LIMITED Inventor SELLWOOD, Matthew
A computer-implemented method of identifying a tool compound is provided. The method comprises: searching a database for first candidate compounds that each target one or more first target genes; generating a first fingerprint for each first candidate compound by: searching the database for genes associated with the first candidate compound, and predicting genes associated with the first candidate compound; and filtering the first candidate compounds using the first fingerprints to identify a first optimum compound for targeting the one or more first target genes.
7.WO/2021/003560METHOD AND SYSTEM FOR PERSONALIZED, MOLECULAR BASED HEALTH MANAGEMENT AND DIGITAL CONSULTATION AND TREATMENT
WO 14.01.2021
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/CA2020/050924 Applicant MOLECULAR YOU CORPORATION Inventor ANWAR, Mohammad Ashraful
The present disclosure relates to personalized health, specifically molecular based health management and digital consultation. In particular, the present disclosure is directed to methods and systems for assessing the health status of an individual based on correlations between multi-omics measures (e.g., genomics, metabolomics, exposomics and proteomics) and diseases or health risks as disclosed in published research data. The disclosure also relates to methods and systems for customized counseling to individuals regarding health status and actionable measures to improve their health status.
8.WO/2021/006649BIOMARKER PANEL FOR DIAGNOSING PANCREATIC CANCER AND USE THEREOF
WO 14.01.2021
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 PCT/KR2020/008979 Applicant BERTIS INC Inventor KIM, Youngsoo
The present invention relates to a biomarker for diagnosing pancreatic cancer and use thereof. The marker according to the present application can significantly predict or determine, through a 14-multimarker panel, the onset likelihood, early diagnosis, and severity of pancreatic cancer or precancerous lesions of pancreatic cancer, and can be used in research on the tumorigenesis of pancreatic cancer.
9.WO/2021/006573BIOLOGICAL INFORMATION INFERENCE APPARATUS AND METHOD UTILIZING BIOLOGICAL SPECIES IDENTIFICATION
WO 14.01.2021
Int.Class G16B 50/00
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
50ICT programming tools or database systems specially adapted for bioinformatics
Appl.No PCT/KR2020/008776 Applicant HOMO MIMICUS CO., LTD Inventor KIM, Sun Joong
Disclosed are a biological information inference apparatus and method utilizing biological species identification. According to an embodiment of the present invention, provided is a biological information inference apparatus in which a biological species is recommended with respect to a user's query by a recommendation system, and at this time pieces of information stored in a biological system information causal model are utilized to infer biological information by combining factors having a connection with a biological species identification key.
10.WO/2021/006596MACHINE LEARNING MODEL-BASED ESSENTIAL GENE IDENTIFICATION METHOD AND ANALYSIS APPARATUS
WO 14.01.2021
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 PCT/KR2020/008843 Applicant KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY Inventor CHOI, Jung Kyoon
A machine learning model-based essential gene identification method comprises the steps of: receiving, by an analysis apparatus, inputs of expression pattern information on genes of a specific cell; inputting, by the analysis apparatus, the expression pattern information to a machine learning model; and determining, by the analysis apparatus, whether a target gene from among the genes is essential in the survival of the cell, on the basis of information output by the machine learning model. The machine learning model comprises parameters which are trained based on a training data set, and the training data set comprises data for the gene expression of the specific cell and label values for whether the specific cell dies.