L'oreal

Stephanie Nouveau

Sandrine Gadol

Benjamin Askenazi

Nukhet Cavusoglu

Panagiotis-Alexandros Bokaris

Michelle Rathman-Josserand

Olivier De Lacharriere

In some embodiments, techniques for improving treatment outcomes are provided. A computing system measures at least one skin condition for a subject. The computing system receives a plurality of types of omics data for the subject. For each type of omics data, the computing system uses at least one classifier associated with the type of omics data to determine whether the subject is in at least one responder category. The computing system predicts treatment outcomes for the at least one skin condition for the subject for a plurality treatments based on the at least one responder category. The computing system determines a skincare regimen based on the predicted treatment outcomes.

Predicting efficacies and improving skincare treatment outcomes based on responder/non-responder information

In some embodiments, a method of determining a personalized skincare recommendation is provided. A computing system receives data depicting a face of a subject. The computing system determines features based on the data depicting the face of the subject. The computing system provides the features to an ageotype classifier to generate a predicted skin ageotype for the subject. The computing system generates the personalized skincare recommendation based on at least the predicted skin ageotype.

Predicting aging treatment outcomes based on a skin ageotype

The use of DHEA or at least one of its biological precursors or of its metabolic derivatives in or for the manufacture of a composition for topical application to the skin, as a pigmentation regulator for the skin or its superficial growths, especially as a depigmenting and/or bleaching agent for the skin, in particular in the treatment of pigmentation marks, and as a pro-pigmenting agent for superficial body growths.

Growing community of inventors

Boulogne, France

Stephanie Nouveau