Systems and methods for treating, diagnosing and predicting the occurrence of a medical condition
AssigneeAureon Laboratories, Inc.
InventorsOlivier Saidi, David A. Verbel, Mikhail Teverovskiy
Life of this patent
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Abstract
Methods and systems are provided that use clinical information, molecular information and computer-generated morphometric information in a predictive model for predicting the occurrence (e.g., recurrence) of a medical condition, for example, cancer.
Claims60
A method of evaluating a risk of occurrence of a medical condition in a patient, the method comprising:
- receiving a patient dataset for the patient;
- and
- evaluating the patient dataset with a model predictive of the medical condition to produce a value indicative of the risk of occurrence of the medical condition in the patient, wherein the model is based on one or more clinical feature(s), one or more molecular feature(s), and one or more computer-generated morphometric feature(s) generated from one or more tissue image(s).
An apparatus for evaluating the risk of occurrence of a medical condition in a patient, the apparatus comprising:
- a model predictive of the medical condition, wherein the model is based on one or more clinical feature(s), one or more molecular feature(s), and one or more computer-generated morphometric feature(s) generated from one or more tissue image(s), wherein the model is configured to:
- receive a patient dataset for the patient;
- and
- evaluate the patient dataset according to the model to produce a value indicative of the risk of occurrence of the medical condition in the patient.
An apparatus for evaluating the risk of occurrence of a medical condition in a patient, the apparatus comprising:
- a model predictive of the medical condition, wherein the model is based on one or more computer-generated morphometric feature(s) generated from one or more tissue image(s) and wherein the model is configured to:
- receive a patient dataset for the patient;
- and
- evaluate the patient dataset according to the model to produce a value indicative of the risk of occurrence of the medical condition in the patient.
A computer readable medium comprising computer executable instructions recorded thereon for performing the method comprising:
- receiving a patient dataset for a patient;
- and
- evaluating the patient dataset with a model predictive of a medical condition to produce a value indicative of the risk of occurrence of the medical condition in the patient, wherein the model is based on one or more clinical feature(s), one or more molecular feature(s), and one or more computer-generated morphometric feature(s) generated from one or more tissue image(s).
Dependencies are inferred from the claim text.