Systems, methods, and computer readable media for using descriptors to identify when a subject is likely to have a dysmorphic feature
AssigneeFDNA Inc.
InventorsDekel Gelbman, Yaron Gurovich
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Abstract
Systems, methods, and computer-readable media are disclosed for identifying when a subject is likely to be affected by a medical condition. For example, at least one processor may be configured to receive information reflective of an external soft tissue image of the subject. The processor may also be configured to perform an evaluation of the external soft tissue image information and to generate evaluation result information based, at least in part, on the evaluation. The processor may also be configured to predict a likelihood that the subject is affected by the medical condition based, at least in part, on the evaluation result information.
Claims20
A computer-implemented method for analyzing a plurality of cranio-facial external soft tissue images, the method comprising:
- receiving, with processing circuitry, the plurality of cranio-facial external soft tissue images associated with a plurality of individuals having at least one genetic variant;
- generating electronic characterizations of each of the plurality of cranio-facial external soft tissue images;
- associating, in an electronic database, the electronic characterizations of each of the plurality of cranio-facial external soft tissue images of the plurality of individuals with the at least one genetic variant;
- analyzing, with the processing circuitry, the electronic characterizations of each of the plurality of cranio-facial external soft tissue images to identify at least one populational predictor location associated with an external soft tissue attribute predictive of the at least one genetic variant;
- receiving, with the processing circuitry, a cranio-facial external soft tissue image of a subject;
- analyzing, with the processing circuitry, the cranio-facial external soft tissue image of the subject to identify a subject predictor location corresponding to the populational predictor location;
- comparing information associated with pixels corresponding to the populational predictor location with information associated with pixels corresponding to the subject predictor location;
- determining, with the processing circuitry, whether a common dysmorphology exists between the subject predictor location and the populational predictor location;
- and
- predicting, based on the determining, with the processing circuitry, whether the subject has the at least one genetic variant.
An electronic device for identifying when a subject is likely to be affected by a medical condition, the device comprising:
- at least one memory for storing computer-executable instructions;
- and
- at least one processor configured to execute the stored instructions to:
- receive a plurality of cranio-facial external soft tissue images associated with a plurality of individuals having at least one genetic variant;
- generate electronic characterizations of each of the plurality of cranio-facial external soft tissue images;
- associate the electronic characterizations of each of the plurality of cranio-facial external soft tissue images of the plurality of individuals with the at least one genetic variant;
- analyze the electronic characterizations of each of the plurality of cranio-facial external soft tissue images to identify at least one populational predictor location associated with an external soft tissue attribute predictive of the at least one genetic variant;
- receive a cranio-facial external soft tissue image of a subject;
- analyze the cranio-facial external soft tissue image of the subject to identify a subject predictor location corresponding to the populational predictor location;
- compare information associated with pixels corresponding to the populational predictor location with information associated with pixels corresponding to the subject predictor location;
- determine whether a common dysmorphology exists between the subject predictor location and the populational predictor location;
- and
- predict, based on the determination, whether the subject has the at least one genetic variant.
A non-transitory computer-readable medium for identifying when a subject is likely to be affected by at least one genetic variant, which comprises instructions that, when executed by at least one processor, cause the at least one processor to perform operations including:
- receiving the plurality of cranio-facial external soft tissue images associated with a plurality of individuals having at least one genetic variant;
- generating electronic characterizations of each of the plurality of cranio-facial external soft tissue images;
- associating, in an electronic database, the electronic characterizations of each of the plurality of cranio-facial external soft tissue images of the plurality of individuals with the at least one genetic variant;
- analyzing the electronic characterizations of each of the plurality of cranio-facial external soft tissue images to identify at least one populational predictor location associated with an external soft tissue attribute predictive of the at least one genetic variant;
- receiving a cranio-facial external soft tissue image of a subject;
- analyzing the cranio-facial external soft tissue image of the subject to identify a subject predictor location corresponding to the populational predictor location;
- comparing information associated with pixels corresponding to the populational predictor location with information associated with pixels corresponding to the subject predictor location;
- determining whether a common dysmorphology exists between the subject predictor location and the populational predictor location;
- and
- predicting, based on the determining, whether the subject has the at least one genetic variant.
Dependencies are inferred from the claim text.