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US 10,886,008 B2Granted
Methods and systems for determining the biological age of samples
AssigneeSpring Discovery, Inc.
InventorsBen Kamens, Ben Komalo, Wendy Cousin, Christian Elabd, Charlie Marsh, Lauren Nicolaisen
Life of this patent
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Abstract
The present disclosure provides systems, media, and methods for applying machine learning to determine the biological age of a sample. A method of using a biological age predictor may comprise: (a) providing data of a sample to the biological age predictor; (b) treating the sample with a substance, thereby generating a treated sample; and (c) providing data of the treated sample to the biological age predictor. The biological age predictor may generate the first biological age and/or the second biological age.
Claims30
A method comprising:
- (a) obtaining a biological sample;
- (b) obtaining first computer-readable image assay data of said biological sample, said first computer-readable image assay data generated by imaging said biological sample, wherein said first computer-readable image assay data identifies cell morphology or cellular components of said biological sample;
- (c) providing a computer processor programmed with a biological age predictor, wherein said biological age predictor comprises a trained machine learning detection structure configured to receive as inputs computer-readable image assay data generated by imaging test biological samples and to determine as outputs biological ages or ranges of biological ages of said test biological samples, wherein said trained machine learning detection structure is trained using (i) computer-readable image assay data comprising images of training biological samples generated by imaging said training biological samples, wherein said computer-readable image assay data identifies cell morphology or cellular components of said training biological samples, and (ii) biological ages or ranges of biological ages associated with said plurality of training biological samples;
- (d) using said computer processor programmed with said biological age predictor, determining (i) a biological age of said biological sample or (ii) a range of said biological age of said biological sample based on said first computer-readable image assay data;
- (e) contacting said biological sample with a substance, thereby generating a treated biological sample;
- (f) obtaining second computer-readable image assay data of said treated biological sample, said second computer-readable image assay data generated by imaging said treated biological sample, wherein said second computer-readable image assay data identifies cell morphology or cellular components of said treated biological sample;
- and
- (g) using said computer processor programmed with said biological age predictor, determining (i) a biological age of said treated biological sample or (ii) a range of said biological age of said treated biological sample based on said second computer-readable image assay data.
5 more elements
A method comprising:
- (a) obtaining a biological sample;
- (b) performing an image assay on said biological sample to generate computer-readable image assay data of said biological sample, wherein said computer-readable image assay data identifies cell morphology or cellular components of said biological sample;
- (c) providing a computer processor programmed with a biological age predictor, wherein said biological age predictor comprises a trained machine learning detection structure configured to receive as inputs computer-readable image assay data generated by imaging test biological samples and to determine as outputs biological ages or ranges of biological ages of said test biological samples, wherein said trained machine learning detection structure is trained using (i) computer-readable image assay data comprising images of training biological samples generated by imaging said training biological samples, wherein said computer-readable image assay data identifies cell morphology or cellular components of said training biological samples, and (ii) biological ages or ranges of biological ages associated with said plurality of training biological samples;
- (d) using said computer processor programmed with said biological age predictor, analyzing a set of one or more locations in said computer-readable image assay data to:
- (i) identify a feature of said set of one or more locations and classify said feature, and
- (ii) determine (i) a biological age of said biological sample or (ii) a range of said biological age of said biological sample based on said identified and classified feature.
3 more elements
A system comprising:
- a digital processing device comprising:
- (a) a computer processor programmed with a biological age predictor, wherein said biological age predictor comprises a trained machine learning detection structure configured to receive as inputs computer-readable image assay data generated by imaging test biological samples and to determine as outputs biological ages or ranges of biological ages of said test biological samples, wherein said trained machine learning detection structure is trained using (i) computer-readable image assay data comprising images of training biological samples generated by imaging said training biological samples, wherein said computer-readable image assay data identifies cell morphology or cellular components of said training biological samples, and (ii) biological ages or ranges of biological ages associated with said plurality of training biological samples;
- and
- (c) a computer program including instructions executable by said computer processor to create an application comprising:
- a biological age assessment module configured to use said biological age predictor to analyze computer-readable image assay data of a biological sample, said computer-readable image assay data generated by imaging said biological sample, wherein said first computer-readable image assay data identifies cell morphology or cellular components of said biological sample, wherein said trained machine learning detection structure of said biological age predictor analyzes a set of one or more locations in said computer-readable image assay data to (1) identify a feature of said set of one or more locations and classify said feature, and (2) determine (i) a biological age of said biological sample or (ii) a range of said biological age of said biological sample based on said identified and classified feature.
2 more elements
A method for screening a test compound to identify an anti-aging agent, comprising:
- (a) contacting a biological sample with said test compound, thereby generating a treated biological sample;
- (b) performing an image assay on said treated biological sample to generate computer-readable image assay data of said treated biological sample, wherein said computer-readable image assay data identifies cell morphology or cellular components of said treated biological sample;
- (c) providing a computer processor programmed with a biological age predictor, wherein said biological age predictor comprises a trained machine learning detection structure configured to receive as inputs computer-readable image assay data generated by imaging test biological samples and to determine as outputs biological ages or ranges of biological ages of said test biological samples, wherein said trained machine learning detection structure is trained using (i) computer-readable image assay data comprising images of training biological samples generated by imaging said training biological samples, wherein said computer-readable image assay data identifies cell morphology or cellular components of said training biological samples, and (ii) biological ages or ranges of biological ages associated with said plurality of training biological samples;
- (d) using said computer processor programmed with said biological age predictor, determining (i) a biological age of said treated biological sample or (ii) a range of said biological age of said treated biological sample;
- and
- (e) identifying said test compound as an anti-aging agent based on (i) said biological age of said treated biological sample or (ii) said range of said biological age of said treated biological sample.
3 more elements
Dependencies are inferred from the claim text.