-
公开(公告)号:US20240358808A1
公开(公告)日:2024-10-31
申请号:US18287771
申请日:2022-04-22
申请人: FLOW PHARMA, INC.
CPC分类号: A61K39/00115 , G16B15/30 , G16B40/00 , G16H10/40 , G16H50/20 , A61K2039/6093
摘要: Personalized cancer vaccines are created by predicting whether a first neoantigen or a second neoantigen of an individual cancer patient has a stronger binding affinity for a human leukocyte antigen (HLA) complex of the patient and creating a particle containing the neoantigen with the stronger predicted binding affinity. Such a predicting step includes artificial intelligence, statistical modeling, or a combination thereof. Such a particle is created by encapsulating the neoantigen with the stronger predicted binding affinity for the HLA complex of the patient in a material. Placing the antigen in a particular sized particle is referred to here as Size Exclusion Antigen Presentation Control, (SEAPAC) used in methods of treating the patient using such a personalized cancer vaccine.
-
公开(公告)号:US12131806B2
公开(公告)日:2024-10-29
申请号:US18208207
申请日:2023-06-09
申请人: X Development LLC
摘要: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using machine learning models for plant biotechnology. One of the methods includes obtaining a network input comprising an image depicting a plurality of plant cells or regions of plant tissue; processing the network input using a machine learning model to obtain an identification of one or more particular biotechnologically-modifiable plant cells or one or more particular biotechnologically-modifiable regions of the plant tissue; excising or delineating the one or more identified plant cells or the one or more identified regions of the plant tissue; and delivering exogenous material to the excised or delineated plant cells or regions of plant tissue.
-
公开(公告)号:US20240339175A1
公开(公告)日:2024-10-10
申请号:US18745916
申请日:2024-06-17
发明人: Lixue CHENG , Ziyi YANG , Benben LIAO , Shengyu ZHANG
摘要: Provided is an object determining method performed by a computer device, relating to the technical field of artificial intelligence. The method includes: acquiring index prediction values of objects in a first object set on a preset index respectively; determining, based on index experimental values and object features of the objects in the first object set on the preset index, a mapping relationship between the preset index and the object features; selecting, from the first object set, objects with the index prediction values satisfying index value screening conditions to obtain a second object set; and determining a target object meeting index requirements of the preset index from the second object set based on the mapping relationship.
-
公开(公告)号:US12094575B2
公开(公告)日:2024-09-17
申请号:US18515039
申请日:2023-11-20
发明人: Daniel Serie , Zhenqin Wu
摘要: A system and method for automated detection of the presence or absence of a quantity based on intensities expressed in terms of, or derived from frequency or time dependent data. According to one example intensities from mass spectrometry are identified using a non-linear mathematical model, such as an artificial neural network trained to find start and stop peaks of an intensity, from which an abundance may be determined.
-
公开(公告)号:US12087404B2
公开(公告)日:2024-09-10
申请号:US17892701
申请日:2022-08-22
申请人: Peptilogics, Inc.
IPC分类号: G16B40/00 , G06F3/14 , G06F9/451 , G06F16/242 , G06F16/248 , G06F16/29 , G06N20/00 , G16B5/00 , G16B10/00 , G16B30/00 , G16B35/00 , G16B45/00 , G16C20/70 , G16H10/20 , G16H50/20 , G16H50/70 , G16H70/40 , G06Q30/0201 , G06Q50/04 , G06Q50/18 , G16H40/20
CPC分类号: G16B40/00 , G06F3/14 , G06F9/451 , G06F16/2428 , G06F16/248 , G06F16/29 , G06N20/00 , G16B5/00 , G16B10/00 , G16B30/00 , G16B35/00 , G16B45/00 , G16C20/70 , G16H10/20 , G16H50/20 , G16H50/70 , G16H70/40 , G06Q30/0201 , G06Q50/04 , G06Q50/184 , G16H40/20
摘要: In one aspect, a method includes generating a design space for a peptide for an application. The generating includes identifying sequences for the peptide, and updating the sequences by determining, for each of the sequences, a respective set of activities pertaining to the application. The updating produces updated sequences each having updated respective activities. The method includes generating, based on the updated sequences, a solution space within the design space. The solution space includes a target subset of the updated sequences. The method includes performing, using a machine learning model to process the solution space, trials to identify a candidate drug compound that represents a sequence having a level of activity that exceeds a threshold level, and determining metrics pertaining to the machine learning model and a second machine learning model that performs the trials.
-
6.
公开(公告)号:US20240295553A1
公开(公告)日:2024-09-05
申请号:US18424298
申请日:2024-01-26
发明人: Paul Scott Eastman , Eric Sasso
IPC分类号: G01N33/564 , C12Q1/6883 , G09B7/00 , G16B40/00 , G16B40/20
CPC分类号: G01N33/564 , C12Q1/6883 , G09B7/00 , G16B40/20 , C12Q2600/118 , C12Q2600/158 , G01N2800/102 , G01N2800/56 , G01N2800/60 , G16B40/00
摘要: Biomarkers useful for assessing inflammatory disease or flare activity, in particular in juvenile idiopathic arthritis, are provided, along with kits for measuring expression of the biomarkers. The invention also provides predictive models, based on the biomarkers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples.
-
公开(公告)号:US20240290431A1
公开(公告)日:2024-08-29
申请号:US18656302
申请日:2024-05-06
发明人: Rongchang CHEN , Sheng QUAN , Chao ZHANG , Ziqing KONG , Pengyun LIU , Huafen LIU
CPC分类号: G16B40/00 , G01N33/5308 , G01N33/6848 , G16B5/20 , G16C20/70 , G16H50/30
摘要: The present disclosure provides a biomarker for detecting colorectal cancer and a use thereof. A metabolomics method is used to analyze metabolites with significant differences in urine of patients with colorectal cancer and normal people, such that a series of biomarkers capable of early predicting an occurrence risk of colorectal cancer are screened out, a group of biomarkers are further screened to construct a diagnostic model for colorectal cancer, and the model can be used for conveniently, non-invasively and effectively predicting whether an individual suffers from colorectal cancer, and meets clinical needs.
-
公开(公告)号:US12071671B2
公开(公告)日:2024-08-27
申请号:US16968448
申请日:2019-02-07
申请人: CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE , UNIVERSITE DE MONTPELLIER , CENTRE HOSPITALIER UNIVERSITAIRE DE MONTPELLIER
IPC分类号: C12Q1/6886 , G16B25/10 , G16B40/00 , G16H10/40 , G16H20/10
CPC分类号: C12Q1/6886 , G16B25/10 , G16B40/00 , G16H10/40 , G16H20/10 , C12Q2600/106 , C12Q2600/118 , C12Q2600/158
摘要: Disclosed is a method for in vitro predicting the outcome of an individual having a multiple myeloma, including: —a) measuring the expression level of at least 2 genes encoding a ROS detoxifying (AOX) protein selected in a group including AKR1 B1, ARNT, CAT, CBR1, DHCR24, EGLN1, GLRX2, HIF1A, MGST1, MSRB1, PRDX6, SLC7A11, SOD1, SRXN1, TALDO1 and TXN and/or the expression level of at least 2 genes encoding ROS producing (ROS) protein selected in a group including CYBA, CYB5A, CYC1, NCF1B, NCF1C, NCF4, NDUFA12, NDUFS2, NDUFS8, SHC1 and UQCR10, in a biological sample obtained from the individual; —b) calculating an AOX score value and/or a ROS score value from the respective expression level(s) obtained at step a); —c) classifying the individual as having a good prognosis status or a bad prognosis status, by comparing the score value obtained at step b) with a reference score value.
-
公开(公告)号:US12071669B2
公开(公告)日:2024-08-27
申请号:US15431715
申请日:2017-02-13
发明人: Evan Maxwell , Lukas Habegger , Jeffrey Reid
IPC分类号: G01N33/48 , C12Q1/6881 , G16B20/00 , G16B20/10 , G16B20/20 , G16B30/00 , G16B30/10 , G16B40/00 , G16B40/20 , G16B50/00
CPC分类号: C12Q1/6881 , G16B20/00 , G16B20/10 , G16B20/20 , G16B30/00 , G16B30/10 , G16B40/00 , G16B40/20 , G16B50/00 , C12Q2600/156
摘要: Methods and systems for detecting abnormal karyotypes are disclosed. An example method can comprise determining read coverage data, allele balance distributions of heterozygous SNPs, and chromosomal segments where heterozygosity is not observed. The methods and systems can then determine one or more metrics which can be indicative of abnormal karyotype(s).
-
公开(公告)号:US20240274299A1
公开(公告)日:2024-08-15
申请号:US18642389
申请日:2024-04-22
发明人: Helmy ELTOUKHY , AmirAli TALASAZ
CPC分类号: G16H50/30 , C12Q1/6886 , G16B20/00 , G16B20/10 , G16B20/20 , G16B40/00 , G16H50/20 , C12Q2535/122 , C12Q2600/156
摘要: The present disclosure provides methods for determining a probability that after any of a number of therapeutic interventions, an initial state of a subject, such as somatic cell mutational status of a subject with cancer, will develop a subsequent state. Such probabilities can be used to inform a health care provider as to particular courses of treatment to maximize probability of a desired outcome for the subject.
-
-
-
-
-
-
-
-
-