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Analysis

1.20220307069HYBRID MANUAL-MACHINE LEARNING PCR CURVE ANALYSIS AND CLASSIFICATION
US 29.09.2022
Int.Class C12Q 1/686
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
6844Nucleic acid amplification reactions
686Polymerase chain reaction
Appl.No 17702573 Applicant QuantGene Inc. Inventor Johannes Bhakdi

Methods, systems and apparatus for the analysis of biological samples. Biological sample held in sample plates may be processed by a PCR machine. PCR curves are generated for each biological sample and analyzed by one or more machine learning models. The PCR curves are assigned a confidence level and classified based on the analysis and the confidence level. PCR curve with a confidence level below a predetermined threshold may be flagged for analysis by a lab director. PCR curves flagged for manual analysis may be displayed on an analysis interface. The lab director may view, analyze and classify the flagged PCR curves through interaction with the analysis interface.

2.WO/2022/203093METHOD FOR DIAGNOSING OR PREDICTING CANCER OCCURRENCE
WO 29.09.2022
Int.Class G16H 50/20
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
20for computer-aided diagnosis, e.g. based on medical expert systems
Appl.No PCT/KR2021/003531 Applicant EONE DIAGNOMICS GENOME CENTER CO., LTD. Inventor KWON, Hyuk-Jung
The present invention relates to a method for diagnosing or predicting cancer and, specifically, to a method for diagnosing or predicting cancer, comprising steps in which: first analysis data on a cell-free DNA (cfDNA) concentration, second analysis data on copy number variation (CNV), and third analysis data on tumor marker expression amount are acquired; and a prediction unit uses a machine learning model trained to calculate a cancer occurrence probability through computing of the analysis data, so as to analyze the analysis data, and thus diagnose or predict cancer occurrence
3.20220310203METHODS AND COMPOSITIONS FOR IMPROVED MULTIPLEX GENOTYPING AND SEQUENCING
US 29.09.2022
Int.Class G16B 25/20
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
20Polymerase chain reaction ; Primer or probe design; Probe optimisation
Appl.No 17255722 Applicant COVARIANCE BIOSCIENCES, LLC Inventor Alexander MIRON

The technology described herein is directed to methods of designing primers for multiplex PCR amplification. Also described herein are methods for equalization of reads in these approaches. A variation is described herein that permits single base multiplexed sequencing on an NGS platform. Also described herein are methods to rapidly analyze NGS sequencing data to automatically provide genotype or sequencing results and methods to identify and quantify low abundance rare variants in clinically relevant genes in a minority of tumor cells from a complex mixture of cells.

4.WO/2022/204438TARGETED THERAPIES IN CANCER
WO 29.09.2022
Int.Class C12Q 1/6886
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
6886for cancer
Appl.No PCT/US2022/021806 Applicant ONCXERNA THERAPEUTICS, INC. Inventor BENJAMIN, Laura E.
The disclosure provides methods to categorize cancers and cancer patients using a classifier, TME Panel-1, which stratifies patients and cancers according to tumor microenvironments. Treatment decisions are then guided by the presence/absence of a particular TME phenotype class. Also provided are methods for treating a subject, e.g., a human subject, afflicted with gastric cancer, breast cancer, prostate cancer, liver cancer, carcinoma of head and neck, melanoma, colorectal cancer, or ovarian cancer comprising administering a particular therapy depending on the classification of the cancer's TME according to the TME Panel-1 classifier. Also provided are personalized treatments that can be administered to patients depending on the TME Panel-1 classification of a particular type of cancer, e.g., left or right colorectal cancer or dMMR colorectal cancer.
5.WO/2022/203704A UNIFIED PORTAL FOR REGULATORY AND SPLICING ELEMENTS FOR GENOME ANALYSIS
WO 29.09.2022
Int.Class G16B 15/10
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
15ICT specially adapted for analysing two-dimensional or three-dimensional molecular structures, e.g. structural or functional relations or structure alignment
10Nucleic acid folding
Appl.No PCT/US2021/047025 Applicant GENOME INTERNATIONAL CORPORATION Inventor SENAPATHY, Sudar
A method, including identifying, in a nucleotide string, at least two exons, at least one acceptor, at least one donor, and at least one intron between the at least two exons, is provided. The method includes identifying, in the nucleotide string, a cryptic splice site comprising a sequence of nucleotides based on a similarity score with at least one of the acceptor or the donor, and graphically marking, in a display for a user, the nucleotide string at a location indicative of an exon, an intron, a true splice site, and optionally a cryptic splice site when the similarity score is higher than a pre-selected threshold. A system and a non-transitory, computer-readable medium including instructions to cause the system to perform the method are also provided.
6.WO/2022/203705A PRECISION MEDICINE PORTAL FOR HUMAN DISEASES
WO 29.09.2022
Int.Class G16B 30/00
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
30ICT specially adapted for sequence analysis involving nucleotides or amino acids
Appl.No PCT/US2021/047027 Applicant GENOME INTERNATIONAL CORPORATION Inventor SENAPATHY, Periannan
A method for genome analysis is provided. The method includes receiving a nucleotide string comprising a plurality of nucleotides from at least a portion of one or more individual patients' genome. The method also includes identifying a plurality of variants in said nucleotide string, assigning each identified variant a score based on a location of a variant and a predicted functional consequence, and determining a strength of a variation responsible for a trait or phenotypic manifestation of the variants. The method also includes identifying at least one phenotype, and displaying, in a graphic unit interface of a client device, said nucleotide string, the identified variants, and the at least one phenotype, in one or more genetic elements for one or more individual patients. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.
7.20220310230BIOMARKERS FOR DETERMINING AN IMMUNO-ONOCOLOGY RESPONSE
US 29.09.2022
Int.Class G16H 20/40
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
20ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
40relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
Appl.No 17688788 Applicant Venn Biosciences Corporation Inventor Daniel SERIE

Provided herein are methods, devices, and kits for identifying glycosylated polypeptide biomarkers and signatures for progression of a disease or a condition, such as cancer, or and response of the disease or condition to a treatment, such as treatment with immune checkpoint blockade for cancer. Provided herein are methods of generating glycosylated polypeptide biomarkers and methods of analyzing glycosylated polypeptides using mass spectrometry. Provided herein are methods of validating a model using glycosylated polypeptides for predicting the disease or condition or for making treatment recommendation.

8.20220310231SYSTEM AND METHOD FOR GENERATING AN ADRENAL DYSREGULATION NOURISHMENT PROGRAM
US 29.09.2022
Int.Class G16H 20/60
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
20ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
60relating to nutrition control, e.g. diets
Appl.No 17216153 Applicant KPN INNOVATIONS, LLC. Inventor Kenneth Neumann

A system for generating an adrenal dysregulation nourishment program includes a computing device configured to obtain a biomarker, produce an adrenal enumeration as a function of the biomarker, wherein producing the adrenal enumeration further comprises receiving a homeostatic element, identifying a homeostatic divergence as a function of the biomarker and homeostatic element, and producing the adrenal enumeration as a function of the homeostatic divergence and a statistical deviation, identify an adrenal profile as a function of the adrenal enumeration, wherein producing the adrenal profile further comprises determining an adrenal movement, and producing the adrenal profile as a function of the adrenal enumeration and the adrenal movement using an adrenal machine-learning model, determine an edible as a function of the adrenal profile, and generate a nourishment program as a function of the edible.

9.WO/2022/203437ARTIFICIAL-INTELLIGENCE-BASED METHOD FOR DETECTING TUMOR-DERIVED MUTATION OF CELL-FREE DNA, AND METHOD FOR EARLY DIAGNOSIS OF CANCER, USING SAME
WO 29.09.2022
Int.Class G16H 50/20
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
20for computer-aided diagnosis, e.g. based on medical expert systems
Appl.No PCT/KR2022/004189 Applicant KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY Inventor CHOI, Jung Kyoon
The present invention relates to a method for early diagnosis of cancer, using artificial-intelligence-based detection of a tumor-derived mutation of cell-free DNA and, more specifically, to a method for early diagnosis of cancer, using artificial-intelligence-based detection of a tumor-derived mutation of cell-free DNA, the method using a method comprising obtaining sequence information from a biological sample, and then comparing the sequence information with that of a reference genome to detect a mutation, and inputting the detected mutation information into an artificial intelligence model trained to determine the presence of a tumor-derived mutation and analyzing same. A method for detecting a tumor-derived mutation of cell-free DNA, and a method for early diagnosis of cancer, using same, according to the present invention, allow next generation sequencing (NGS) to be used to diagnose cancer early on the basis of artificial intelligence by using both functional and sequence features of cancer, so that high commercial utilization due to high accuracy and sensitivity are provided, and thus the methods of the present invention are useful in early diagnosis of cancer.
10.WO/2022/203350METHOD AND DIAGNOSIS DEVICE FOR DETERMINING PRESENCE OR ABSENCE OF ATOPY USING MACHINE LEARNING MODEL
WO 29.09.2022
Int.Class G16B 40/20
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
20Supervised data analysis
Appl.No PCT/KR2022/003978 Applicant HEM PHARMA INC. Inventor JI, Yo Sep
A method for determining the presence or absence of atopy using a machine learning model may comprise the steps of: analyzing a mixture obtained by mixing an intestine-derived material collected from an individual with an intestinal environment-like composition; extracting a plurality of microorganism data on the basis of the analysis result of the mixture; selecting a microorganism-related variable to be used in a machine learning model from among the plurality of microorganism data on the basis of a preset variable selection algorithm; training the machine learning model by using the microorganism-related variable; and determining the presence or absence of atopy by inputting the microorganism data collected from an object to be tested into the trained machine learning model. The microorganism-related variable may include the content of one or more selected from the genus belonging to the families Ruminococcaceae, Lactobacillaceae, Prevotellaceae, Barnesiellaceae, Bacteroidaceae, Lachno Spiraceae (Lachnospiraceae), and UCG.010.