公开(公告)号：US12131807B2

公开(公告)日：2024-10-29

申请号：US18230718

申请日：2023-08-07

申请人： MeMed Diagnostics Ltd.

发明人： Eran Eden ,  Kfir Oved ,  Roy Navon ,  Assaf Cohen-Dotan ,  Olga Boico

IPC分类号： G16B5/20 ,  G06F17/18 ,  G16B5/00 ,  G16B20/00 ,  G16B20/20 ,  G16B25/10 ,  G16B40/00 ,  G16B40/20 ,  G16B40/30 ,  G16H50/50 ,  G01N33/569 ,  G16B25/00

CPC分类号： G16B5/20 ,  G06F17/18 ,  G16B5/00 ,  G16B20/00 ,  G16B20/20 ,  G16B25/10 ,  G16B40/00 ,  G16B40/20 ,  G16B40/30 ,  G16H50/50 ,  G01N33/56911 ,  G01N33/56983 ,  G16B25/00 ,  Y02A90/10

摘要： A method of analyzing biological data containing expression values of a plurality of polypeptides in the blood of a subject. The method comprises: calculating a distance between a segment of a curved line and an axis defined by a direction, the distance being calculated at a point over the curved line defined by a coordinate along the direction. The method further comprises correlating the distance to the presence of, absence of, or likelihood that the subject has, a bacterial infection. The coordinate is defined by a combination of the expression values, wherein at least 90% of the segment is between a lower bound line and an upper bound line.

公开(公告)号：US20240338376A1

公开(公告)日：2024-10-10

申请号：US18746855

申请日：2024-06-18

申请人： Bonnie Berger Leighton ,  Maxwell Aaron Sherman ,  Adam Uri Yaari

发明人： Bonnie Berger Leighton ,  Maxwell Aaron Sherman ,  Adam Uri Yaari

IPC分类号： G06F16/2458 ,  G06N3/08 ,  G16B5/20 ,  G16B20/20 ,  G16B40/00

CPC分类号： G06F16/2462 ,  G06N3/08 ,  G16B5/20 ,  G16B20/20 ,  G16B40/00

摘要： An activity of interest is modeled by a non-stationary discrete stochastic process, such as a pattern of mutations across a cancer genome. Initially, input genomic data is used to train a model to predict rate parameters and their associated uncertainty estimation for each of a set of process regions. For any arbitrary set of indexed positions of the stochastic process that are identified in an information query, the rate parameters and their associated estimation uncertainties are scaled using the model to obtain a distribution of the events of interest and their associated estimation uncertainties for the set of indexed positions. In response to a search query associated with one or more base-pairs, a result is then returned. The result, which represents deviations between the estimated and observed mutation rates, is used to identify genomic elements that have more mutations than expected and therefore constitute previously unknown driver mutations.

公开(公告)号：US12080380B2

公开(公告)日：2024-09-03

申请号：US18043528

申请日：2021-08-27

申请人： Just-Evotec Biologics, Inc.

发明人： Jeremy Martin Shaver ,  Tileli Amimeur ,  Randal Robert Ketchem ,  Joshua Smith

IPC分类号： G01N33/48 ,  G06N3/08 ,  G16B5/20 ,  G16B15/20 ,  G16B15/30 ,  G16B40/00 ,  G16B40/20

CPC分类号： G16B15/30 ,  G06N3/08 ,  G16B5/20 ,  G16B15/20 ,  G16B40/00 ,  G16B40/20

摘要： Amino acid sequences of proteins can be produced using one or more generative machine learning architectures. The amino acid sequences produced by the one or more generative machine learning architectures can be used to train a classification model architecture. The classification model architecture can classify amino acid sequences according to a number of classifications. Individual classifications of the number of classifications can correspond to at least one of a structural feature of proteins, a range of values of a structural feature of proteins, a biophysical property of proteins, or a range of values of a biophysical property of proteins.

公开(公告)号：US20240218452A1

公开(公告)日：2024-07-04

申请号：US18431647

申请日：2024-02-02

申请人： Flagship Pioneering Innovations VI, LLC

发明人： Anthony P. Shuber

IPC分类号： C12Q1/6886 ,  C12Q1/6869 ,  G16B5/20 ,  G16B20/20 ,  G16B40/00

CPC分类号： C12Q1/6886 ,  C12Q1/6869 ,  G16B5/20 ,  C12Q2600/118 ,  C12Q2600/154 ,  C12Q2600/156 ,  G16B20/20 ,  G16B40/00

摘要： Disclosed herein are methods, non-transitory computer readable media, systems, and kits for performing a multiple tiered analysis for identifying individuals with a health condition for monitoring, treating, and/or enrolling the individuals in a clinical trial. Specifically, the multiple tiered analysis involves a first screen, which eliminates a large proportion of individuals who are identified as not at risk for a health condition, and a subsequent second analysis which detects presence of a health condition in the remaining individuals. The second analysis includes an intra-individual analysis, which involves combining sequence information from target nucleic acids and reference nucleic acids obtained from the individual. The target nucleic acids include signatures that may be informative for determining presence or absence of the health condition and the reference nucleic acids include baseline biological signatures of the individual. Altogether, the multiple tiered analysis achieves improved performance and accurate identification of individuals with the health condition.

公开(公告)号：US12018313B2

公开(公告)日：2024-06-25

申请号：US16475033

申请日：2017-12-28

申请人： Native Microbials, Inc.

发明人： Mallory Embree

IPC分类号： C12Q1/06 ,  C12Q1/689 ,  G16B5/00 ,  G16B5/20 ,  G16B40/10

CPC分类号： C12Q1/06 ,  C12Q1/689 ,  G16B5/00 ,  G16B5/20 ,  G16B40/10 ,  C12Q2600/156 ,  C12Q2600/158 ,  C12Q2600/178

摘要： Methods, apparatuses, and systems for microorganism strain analysis of complex heterogeneous communities with tracer analytics, determination of functional relationships and interactions thereof, and synthesis of microbial ensembles, including dosed microbial ensembles and inoculative microbial ensembles, are disclosed.

公开(公告)号：US11972871B2

公开(公告)日：2024-04-30

申请号：US16504158

申请日：2019-07-05

申请人： DASSAULT SYSTEMES

发明人： Guillaume Lefebvre ,  Arthur Ball ,  Nicolas Pecuchet ,  Marine Zulian

IPC分类号： G16H50/50 ,  G16B5/20

CPC分类号： G16H50/50 ,  G16B5/20

摘要： The disclosure notably relates to a computer-implemented method for simulating evolution of a tumor associated to an oncogene. The method includes providing a plurality of pieces of data, each corresponding to a given cell of the tumor, and includes a degree of activation of the oncogene in the given cell. The method further includes providing a model configured to take an input piece of data and to output information on proliferation of the respective given cell corresponding to the input piece of data. The information on proliferation depends on the degree of activation of the oncogene. The method further includes running the model on one or more pieces of data of the plurality of pieces of data and updating the plurality of pieces of data based on the result of the running. Such a method improves the simulation of the evolution of a tumor.

公开(公告)号：US11961594B2

公开(公告)日：2024-04-16

申请号：US16455985

申请日：2019-06-28

申请人： KONINKLIJKE PHILIPS N.V.

发明人： Liyi Xu ,  Raivo Kolde ,  Andrew G. Hoss

IPC分类号： G16B5/20 ,  G06N5/02 ,  G16B20/20 ,  G16B30/10 ,  G16B40/20 ,  G16B45/00 ,  G16H40/20 ,  G16H50/30 ,  G16H50/50 ,  G16H50/70 ,  G16H50/80 ,  G16H70/60 ,  G16B20/40

CPC分类号： G16B5/20 ,  G06N5/02 ,  G16B20/20 ,  G16B30/10 ,  G16B45/00 ,  G16H40/20 ,  G16H50/30 ,  G16H50/50 ,  G16H50/70 ,  G16H50/80 ,  G16H70/60 ,  G16B20/40 ,  G16B40/20

摘要： A method for identifying two or more infections as related or non-related infections based on an estimated genetic relatedness of the two or more infections, comprising: (i) receiving, for each of two or more infected patients, infection-relevant information comprising an antibiotic resistance profile for the patient's infection, a geo-temporal record for the patient, and a caregiver history for the patient; (ii) estimating, using a trained genetic relatedness model, a genetic relatedness of at least two of the two or more infections; (iii) comparing the estimated genetic relatedness between at least two of the two or more infections to a predetermined threshold; (iv) identifying, based on the comparison, the at least two of the two or more infections as a related infection or a non-related infection.

公开(公告)号：US11948665B2

公开(公告)日：2024-04-02

申请号：US17001068

申请日：2020-08-24

申请人： Salesforce, Inc.

发明人： Ali Madani ,  Bryan McCann ,  Nikhil Naik

IPC分类号： G16B40/30 ,  G06F30/20 ,  G06F111/08 ,  G16B5/20 ,  G16B15/20 ,  G16B25/10 ,  G16B30/00 ,  G16B40/20 ,  G16B50/10

CPC分类号： G16B40/30 ,  G06F30/20 ,  G16B5/20 ,  G16B15/20 ,  G16B25/10 ,  G16B30/00 ,  G16B40/20 ,  G16B50/10 ,  G06F2111/08

摘要： The present disclosure provides systems and methods for controllable protein generation. According to some embodiments, the systems and methods leverage neural network models and techniques that have been developed for other fields, in particular, natural language processing (NLP). In some embodiments, the systems and methods use or employ models implemented with transformer architectures developed for language modeling and apply the same to generative modeling for protein engineering.

公开(公告)号：US20240087670A1

公开(公告)日：2024-03-14

申请号：US18466639

申请日：2023-09-13

申请人： Ancera, Inc.

发明人： Craig A. Kiebler ,  Arjun Ganesan ,  Charles Judd Copley

IPC分类号： G16B5/20

CPC分类号： G16B5/20

摘要： Methods and systems for determining a microbial risk assessment for an entity are provided. Microbial data and non-microbial data are received and identified as corresponding to the entity and one or more biological processes associated with the entity. The microbial data and non-microbial data are mapped to one or more risk vectors impacting a state of the one or more biological processes. One or more risk vector ratings are determined for the one or more risk vectors based on the microbial and non-microbial data. A microbial risk assessment including a microbial risk rating for the entity is determined based on the one or more risk vector ratings, where the microbial risk assessment is indicative of a risk of the one or more biological processes to the entity. An expected loss value for the one or more biological processes associated with the entity is determined based on the microbial risk assessment.

公开(公告)号：US20230402131A1

公开(公告)日：2023-12-14

申请号：US18073834

申请日：2022-12-02

申请人： Hangzhou Calibra Diagnostics Co., Ltd.

发明人： Rongchang CHEN ,  Sheng QUAN ,  Chao ZHANG ,  Ziqing KONG ,  Pengyun LIU ,  Huafen LIU

IPC分类号： G16B40/00 ,  G01N33/68 ,  G01N33/53 ,  G16H50/30 ,  G16B5/20 ,  G16C20/70

CPC分类号： G16B40/00 ,  G01N33/6848 ,  G01N33/5308 ,  G16H50/30 ,  G16B5/20 ,  G16C20/70

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.