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US 11,887,734 B2Granted
Systems and methods for clinical decision support for lipid-lowering therapies for cardiovascular disease
AssigneeElucid Bioimaging Inc.
InventorsAndrew J. Buckler, Ulf Hedin, Ljubica Matic, Matthew Phillips
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Abstract
Provided herein are methods and systems for making patient-specific therapy recommendations of a lipid-lowering therapy for patients with known or suspected cardiovascular disease, such as atherosclerosis.
Claims24
A computer-implemented method for clinical decision support, the method comprising:
- receiving non-invasively obtained data related to a plaque from a patient;
- inputting the non-invasively obtained data from the patient to a neural network;
- generating, as an output of the neural network, virtual 'omics data that include predicted pathway activation or molecule levels, or both, of the patient by applying the neural network to the non-invasively obtained data from the patient;
- updating an in silico systems biology model using the generated virtual 'omics data to generate an in silico patient-specific systems biology model, wherein
- (i) the in silico systems biology model comprises a set of networks, wherein each network comprises a plurality of nodes, each node representing a baseline level of a molecule, and a plurality of edges between pairs of nodes, each edge representing a molecule-molecule interaction,
- (ii) at least two of the nodes represent molecules whose levels are affected by atherosclerotic cardiovascular disease, and
- (iii) at least one of the set of networks includes a disease-associated pathway activation or molecule level, or both, for each of the nodes in the network;
- perturbing the in silico patient-specific systems biology model to simulate a therapeutic effect of a lipid-lowering agent for the patient;
- and
- providing an output indicating a level of improvement in the atherosclerotic cardiovascular disease by the lipid-lowering agent for the patient and a recommendation supporting a clinical decision as to whether the lipid-lowering agent would benefit the patient.
7 more elements
A clinical decision support system comprising:
- a memory configured to store instructions;
- and
- a processor to execute the instructions to perform operations comprising:
- inputting, to a neural network, non-invasively obtained data related to a plaque from a patient;
- generating virtual 'omics data that include predicted pathway activation or molecule levels, or both, of the patient, by applying the neural network to the non-invasively obtained data from the patient;
- updating an in silico systems biology model using the generated virtual 'omics data to generate an in silico patient-specific systems biology model, wherein
- (i) the in silico systems biology model comprises a set of networks, wherein each network comprises a plurality of nodes, each node representing a baseline level of a molecule, and a plurality of edges between pairs of nodes, each edge representing a molecule-molecule interaction,
- (ii) at least two of the nodes represent molecules whose levels are affected by the atherosclerotic cardiovascular disease, and
- (iii) at least one of the set of networks includes a disease-associated pathway activation or molecule level, or both, for each of the nodes in the network;
- perturbing the in silico patient-specific systems biology model to simulate a therapeutic effect of a lipid-lowering agent for the patient;
- and
- providing an output indicating a level of improvement in the atherosclerotic cardiovascular disease by the lipid-lowering agent for the patient and a recommendation supporting a clinical decision as to whether the lipid-lowering agent would benefit the patient.
9 more elements
One or more non-transitory computer-readable media storing instructions that are executable by a processing device, and upon such execution cause the processing device to perform operations comprising:
- inputting, to a neural network, non-invasively obtained data related to a plaque from a patient;
- generating virtual 'omics data that include predicted pathway activation or molecule levels, or both, of the patient, by applying the neural network to the non-invasively obtained data related from the patient;
- updating an in silico systems biology model using the generated virtual 'omics data to generate an in silico patient-specific systems biology model, wherein
- (i) the in silico systems biology model comprises a set of networks, wherein each network comprises a plurality of nodes, each node representing a baseline level of a molecule, and a plurality of edges between pairs of nodes, each edge representing a molecule-molecule interaction,
- (ii) at least two of the nodes represent proteins whose levels are affected by the atherosclerotic cardiovascular disease, and
- (iii) at least one of the set of networks includes a disease-associated pathway activation or molecule level, or both, for each of the nodes in the network;
- perturbing the in silico patient-specific systems biology model to simulate a therapeutic effect of a lipid-lowering agent for the patient;
- and
- providing an output indicating a level of improvement in the atherosclerotic cardiovascular disease by the lipid-lowering agent for the patient and a recommendation supporting a clinical decision as to whether the lipid-lowering agent would benefit the patient.
6 more elements
Dependencies are inferred from the claim text.