Abstract: Systems and methods are disclosed for scheduling appointments based on changing health conditions of users. The method includes inputting the initial health dataset of a user to a machine learning model configured to identify other users with similar health profiles. A frequency of monitoring, a frequency of appointments, a duration between the appointments, or a type and length of the appointments is determined to generate a schedule of appointments. A subsequent health dataset of the user is received, and health scores, rule scores, or medication scores for the user are determined based on the subsequent health dataset. A plurality of risk scores for the user is evaluated based on the health scores, rule scores, or medication scores. A recent risk score is determined based on a change in the plurality of risk scores. The schedule of appointments is adjusted based on the recent risk score and the user is notified.

Abstract: A multi-layered cosmetic composition suitable for topical application is provided. The composition comprises an oil layer comprising at least about 5%, by weight of the composition, of natural oil; and an aqueous layer, comprising at least about 0.01%, by weight of the composition, of a polymer selected from the group consisting of a polysaccharide, sodium hyaluronate, or a combination thereof. The multi-layered cosmetic composition is free of surfactant.

Abstract: The present invention relates to an oily suspension of atovaquone comprising atovaquone particles and a combination of surfactants having HLB more than 10.