公开(公告)号：US20220102000A1

公开(公告)日：2022-03-31

申请号：US17427223

申请日：2020-01-30

Applicant: Yeda Research and Development Co. Ltd.

Inventor： Eran SEGAL ,  Noam BAR ,  Tal KOREM

IPC: G16H50/20 ,  G16B10/00 ,  G16B30/10 ,  G16H20/60 ,  G16B40/20 ,  C12Q1/10

Abstract: A method of predicting the quantity of a metabolite in the blood of a subject, accesses a computer readable medium storing a library of trained machine learning procedures, searches the library for a trained machine learning procedure associated with the metabolite, feeds the selected procedure with amount of a plurality of microbes of a microbiome of the subject, and receives from the selected procedure an output indicative of the quantity of the metabolite in the blood.

公开(公告)号：US20210269860A1

公开(公告)日：2021-09-02

申请号：US17258477

申请日：2019-07-08

Applicant: Yeda Research and Development Co. Ltd. ,  The Medical Research, Infrastructure and Health Services Fund of the Tel Aviv Medical Center

Inventor： Eran SEGAL ,  Eran ELINAV ,  Zamir HALPERN

IPC: C12Q1/689 ,  C12Q1/04 ,  A61K45/06 ,  A61K35/74 ,  A61P1/00 ,  A61P31/04

Abstract: A method of assessing whether a candidate subject is suitable for probiotic treatment is disclosed. The method comprises determining a signature of the gut microbiome of the candidate subject, wherein when the signature of the microbiome of the candidate subject is statistically significantly similar to a signature of a gut microbiome of a control subject known to be responsive to probiotic treatment, it is indicative that the subject is suitable for probiotic treatment.

公开(公告)号：US20190382827A1

公开(公告)日：2019-12-19

申请号：US16525669

申请日：2019-07-30

Applicant: Yeda Research and Development Co. Ltd.

Inventor： Eran ELINAV ,  Eran SEGAL

IPC: C12Q1/689 ,  A61P1/00 ,  A61K31/132 ,  A61K31/417

Abstract: A method of determining the therapeutic effect of an agent, such as a metabolite, comprising: (a) exposing a pathological microbiome to the agent; and (b) comparing the signature of the pathological microbiome following the exposing with a reference signature of a healthy microbiome, wherein when the signature of the microbiome is statistically significantly similar to the healthy microbiome reference signature, it is indicative that the agent has a therapeutic effect on the microbiome. The agent may be provided to a subject having a pathological microbiome once it has been classified as therapeutic.

公开(公告)号：US20190102512A1

公开(公告)日：2019-04-04

申请号：US15525093

申请日：2015-11-17

Applicant: Yeda Research and Development Co., Ltd.

Inventor： Eran SEGAL ,  Eran ELINAV

IPC: C12Q1/6888 ,  G06F17/18

Abstract: A method of assessing the growth dynamics of a bacterium in a microbiome is disclosed.

公开(公告)号：US20220370517A1

公开(公告)日：2022-11-24

申请号：US17854034

申请日：2022-06-30

Applicant: Ichilov Tech Ltd. ,  Yeda Research and Development Co. Ltd.

Inventor： Eran SEGAL ,  Jacob MASHIAH ,  Nitsan MAHARSHAK

IPC: A61K35/741 ,  A61K35/745 ,  A61K35/742 ,  A61K35/24 ,  A61P17/00

Abstract: A method of treating atopic dermatitis (AD) in a subject in need thereof is provided. The method comprising administering to the subject a therapeutically effective amount of at least two species of bacteria.

公开(公告)号：US20220184148A1

公开(公告)日：2022-06-16

申请号：US17579638

申请日：2022-01-20

Applicant: Yeda Research and Development Co. Ltd.

Inventor： Eran ELINAV ,  Eran SEGAL

IPC: A61K35/741 ,  A61B5/00 ,  C12Q1/02 ,  C12Q1/04 ,  G01N33/68 ,  C12Q1/6883

Abstract: A method of determining tolerance to an agent in a healthy subject is disclosed. The method comprises: (a) determining a signature of a microbiome in a sample of the healthy subject who has been subjected to the agent or condition; and (b) comparing the signature of the microbiome of the healthy subject to at least one reference signature of a pathological microbiome, wherein when the signature of the microbiome of the healthy subject is statistically significantly similar to the reference signature of the pathological microbiome, it is indicative that the healthy subject is intolerant to the agent.

公开(公告)号：US20210260139A1

公开(公告)日：2021-08-26

申请号：US17318009

申请日：2021-05-12

Applicant: Yeda Research and Development Co. Ltd.

Inventor： Eran ELINAV ,  Eran SEGAL

IPC: A61K35/741 ,  C12Q1/689 ,  A23L33/00 ,  A23L33/105 ,  A61K31/352 ,  A61K35/74 ,  C12Q1/02 ,  A23L33/135 ,  A61P3/04

Abstract: A method of analyzing the likelihood of weight regain in a subject who has reached a target weight by practicing a weight loss program is disclosed. The method comprises determining an amount or presence of at least one microbe and/or product thereof in the gut microbiome of the subject, wherein the amount of the at least one microbe is altered during a prior weight gain period of the subject to reach a level representative of an obese subject and further wherein the amount of the at least one microbe is retained at the level following the weight loss program, wherein the amount or presence of the at least one microbe or product thereof is predictive of weight regain.

公开(公告)号：US20210038166A1

公开(公告)日：2021-02-11

申请号：US16985375

申请日：2020-08-05

Applicant: Yeda Research and Development Co. Ltd.

Inventor： Eran SEGAL ,  Smadar SHILO ,  Hagai ROSSMAN

IPC: A61B5/00 ,  A61B5/145 ,  G06N20/00 ,  G16H10/60 ,  G16H10/20

Abstract: A method of predicting likelihood for childhood obesity, comprises: obtaining a plurality of parameters, wherein at least a few of the parameters characterize an infant or toddler subject. A machine learning procedure trained for predicting likelihoods for childhood obesity is feed with the plurality of parameters. An output indicative of a likelihood that the infant or toddler subject is expected to develop childhood obesity is received from the procedure. The output is related non-linearly to the parameters.

公开(公告)号：US20200373018A1

公开(公告)日：2020-11-26

申请号：US16895449

申请日：2020-06-08

Applicant: Yeda Research and Development Co. Ltd.

Inventor： Eran SEGAL

IPC: G16H50/80 ,  G16H10/20 ,  G16H50/70 ,  G16H50/30

Abstract: There is provided a method of diagnosing pathogenesis of viral infections for epidemic prevention, comprising: receiving a geographic location and responses to a questionnaire provided to undiagnosed persons, in each of iteration: inputting a first subset of answers and the geographical location of one of the undiagnosed persons into a geographic-level ML model component trained on a first training dataset including, for each subject: the first subset of answers, an indication of a certain geographic zone, and a label indicative of whether the respective subject is diagnosed or undiagnosed with the viral disease, inputting a second subset of the answers to a human-level ML model component trained on a second training dataset including, for each subject, the second subset of answers, and the label, and combining the outcome from the ML model components to calculate a combined likelihood of the respective undiagnosed person to be diagnosed with the viral disease.

公开(公告)号：US20190267140A1

公开(公告)日：2019-08-29

申请号：US16412538

申请日：2019-05-15

Applicant: Yeda Research and Development Co. Ltd

Inventor： Eran SEGAL ,  Eran ELINAV

IPC: G16H50/20 ,  G06N20/00 ,  G16H50/70

Abstract: Method of predicting a response of a subject to food is disclosed. The method comprises: selecting a food to which a response of the subject is unknown; accessing a first database having data describing the subject but not a response of the subject to the selected food; accessing a second database having data pertaining to responses of other subjects to foods, the responses of the other subjects including responses of at least one other subject to the selected food or a food similar to said selected food; and analyzing the databases based on the selected food to estimate the response of the subject to the selected food.