Abstract: |
Systems and methods for formulating a personalized skincare product for a user. Data inputs reflecting dermal information of the user (e.g., hydration level measurements, oil level measurements, and a photograph of the user's skin reflecting a set of skin concerns) are collected by a computing device and used to determine a set of normalized scores. A skin health data set is generated based on the normalized scores and stored in memory. A skin health metric is determined based on the skin health data set and is stored in memory. The computing device determines, using a machine learning framework, one or more first skincare product formulations based on the user skin health data set. The formulation(s) can be used to manufacture one or more customized skincare products for the user and can be iteratively refined over time, e.g., by collecting additional data from the user over time. |
Inventor: |
Salvi, Sid (Cambridge, MA, US); Maupin, Meghan (Belmont, MA, US); Haghighi, Nava (Los Angeles, CA, US) |
Applicant: |
Atolla Skin Health, Inc. (Belmont, MA, US) |
Face Assignee: |
Atolla Skin Health, Inc. (Belmont, MA, US) |
Filed: |
2019-01-28 |
Issued: |
2020-01-28 |
Claims: |
19 |
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US10546658
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1. A computerized method of formulating a skin care product for a user using a machine-learning algorithm implemented on a computing device, the method comprising:
(14)
(11)
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16. A computing system for formulating a skincare product for a user using a machine-learning algorithm implemented on a computing device, the system comprising:
(2)
(1)
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19. A computerized method of formulating first and second skin care products for a user using a machine-learning algorithm implemented on a computing device, the method comprising:
(0)
(15)
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