US 10,311,363 B1Granted

Reasoning on data model for disease monitoring, characterization and investigation

AssigneeEMC IP Holding Company LLC

InventorsPatricia Gomes Soares Florissi, Michal Ziv Ukelson, Ran Dach, Arnon Benshahar

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Abstract

A method comprises processing metagenomics sequencing results from a plurality of metagenomics sequencing centers associated with respective data zones, configuring a data model based at least in part on the metagenomics sequencing results, performing one or more reasoning operations over the data model to infer relationships between entities of the data model that are not directly expressed by the data model, and updating the data model based at least in part on the inferred relationships. The method further comprises repeating the processing, configuring, performing and updating for additional metagenomics sequencing results from one or more of the metagenomics sequencing centers. One or more portions of the data model illustratively comprise respective profiles each characterizing at least one of a disease, infection or contamination based at least in part on the metagenomics sequencing results.

Claims20

Dependent claims

A method comprising:

configuring a first processing node for communication with one or more additional processing nodes and with one or more of a plurality of geographically-distributed metagenomics sequencing centers via one or more networks;
processing metagenomics sequencing results from the plurality of metagenomics sequencing centers associated with respective data zones in the first processing node, wherein the metagenomics sequencing results are obtained in a decentralized and privacy-preserving manner;
configuring a data model based at least in part on the metagenomics sequencing results, wherein the data model comprises a graph in which nodes correspond to respective profiles and edges between the nodes denote relationships between the corresponding profiles;
performing one or more reasoning operations over the data model to infer relationships between entities of the data model that are not directly expressed by the data model, wherein performing one or more reasoning operations over the data model comprises predicting one or more characteristics for an actual or potential outbreak of at least one of a disease, an infection and a contamination;
updating the data model based at least in part on the inferred relationships;
and
repeating the processing, configuring, performing and updating for additional metagenomics sequencing results from one or more of the metagenomics sequencing centers;
wherein the method is implemented by at least one processing device comprising a processor coupled to a memory.

5 more elements

A computer program product comprising a non-transitory processor-readable storage medium having stored therein program code of one or more software programs, wherein the program code when executed by at least one processing device causes said at least one processing device:

to configure a first processing node for communication with one or more additional processing nodes and with one or more of a plurality of geographically-distributed metagenomics sequencing centers via one or more networks;
to process metagenomics sequencing results from the plurality of metagenomics sequencing centers associated with respective data zones in the first processing node, wherein the metagenomics sequencing results are obtained in a decentralized and privacy-preserving manner;
to configure a data model based at least in part on the metagenomics sequencing results, wherein the data model comprises a graph in which nodes correspond to respective profiles and edges between the nodes denote relationships between the corresponding profiles;
to perform one or more reasoning operations over the data model to infer relationships between entities of the data model that are not directly expressed by the data model, wherein performing one or more reasoning operations over the data model comprises predicting one or more characteristics for an actual or potential outbreak of at least one of a disease, an infection and a contamination;
to update the data model based at least in part on the inferred relationships;
and
to repeat the processing, configuring, performing and updating for additional metagenomics sequencing results from one or more of the metagenomics sequencing centers.

4 more elements

An apparatus comprising:

at least one processing device having a processor coupled to a memory;
wherein said at least one processing device is configured:
to configure a first processing node for communication with one or more additional processing nodes and with one or more of a plurality of geographically-distributed metagenomics sequencing centers via one or more networks;
to process metagenomics sequencing results from the plurality of metagenomics sequencing centers associated with respective data zones in the first processing node, wherein the metagenomics sequencing results are obtained in a decentralized and privacy-preserving manner;
to configure a data model based at least in part on the metagenomics sequencing results, wherein the data model comprises a graph in which nodes correspond to respective profiles and edges between the nodes denote relationships between the corresponding profiles;
to perform one or more reasoning operations over the data model to infer relationships between entities of the data model that are not directly expressed by the data model, wherein performing one or more reasoning operations over the data model comprises predicting one or more characteristics for an actual or potential outbreak of at least one of a disease, an infection and a contamination;
to update the data model based at least in part on the inferred relationships;
and
to repeat the processing, configuring, performing and updating for additional metagenomics sequencing results from one or more of the metagenomics sequencing centers.

6 more elements

Dependencies are inferred from the claim text.

Facts

Application: 14/983,932Filed 30 Dec 2015 · us provisional application
Priority: 6 Apr 2015
Granted: 4 Jun 2019
Term ends: Not estimatedThe source records don’t support an estimate.

Classification17 codes

G16B 30/10
ICT specially adapted for sequence analysis involving nucleotides or amino acids: sequence alignment; Homology search
G06N 5/04
Computing arrangements using knowledge-based models: inference or reasoning models
G16B 5/00
Ict specially adapted for modelling or simulations in systems biology
G16B 20/00
Ict specially adapted for functional genomics or proteomics

Family

Application62/143,404Us provisional application · filed 6 Apr 2015
Application62/143,685Us provisional application · filed 6 Apr 2015
US 10,311,363 B1This patent

From the US filing history. Foreign family members aren’t listed.

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