Abstract: Examples disclosed herein may involve a computing system that is configured to (i) identify a cannabinoid formulation for which to model efficacy for a given health condition shared by a plurality of individuals, (ii) receive respective efficacy information indicating the efficacy of the cannabinoid formulation for the plurality of individuals, (iii) receive respective genetic information for the plurality of individuals, (iv) receive respective biometric information for the plurality of individuals, (v) apply machine learning techniques to group the plurality of individuals into one or more groups based on their (a) respective efficacy information and (b) similarities in their respective genetic information and respective biometric information, and (vi) embody the one or more groups into a machine learning model that functions to (a) receive, as input data, information for a given individual and (ii) based on an evaluation of the received input data, output an efficacy prediction for the given individual.

Abstract: An automatic drain system may comprise a drain including a neck defining a drain orifice and a flange extending from the neck. A liquid detection sensor is located on at least one of the neck or the flange. A sink assembly may comprise a sink basin and the drain located in a sink opening formed in the sink basin.

Abstract: Examples disclosed herein may involve a computing system that is configured to (i) identify a cannabinoid formulation for which to model efficacy for a given health condition shared by a plurality of individuals, (ii) receive respective efficacy information indicating the efficacy of the cannabinoid formulation for the plurality of individuals, (iii) receive respective genetic information for the plurality of individuals, (iv) receive respective biometric information for the plurality of individuals, (v) apply machine learning techniques to group the plurality of individuals into one or more groups based on their (a) respective efficacy information and (b) similarities in their respective genetic information and respective biometric information, and (vi) embody the one or more groups into a machine learning model that functions to (a) receive, as input data, information for a given individual and (ii) based on an evaluation of the received input data, output an efficacy prediction for the given individual.

Abstract: The disclosure is directed to formulations comprising cannabinoids. More particularly, the cannabinoid formulations can be designed to align with an individual's genotype based on a defined list of polymorphisms.

Abstract: An automatic drain system may comprise a drain including a neck defining a drain orifice and a flange extending from the neck. A liquid detection sensor is located on at least one of the neck or the flange. A sink assembly may comprise a sink basin and the drain located in a sink opening formed in the sink basin.

Abstract: An automatic drain system may comprise a drain including a neck defining a drain orifice and a flange extending from the neck. A liquid detection sensor is located on at least one of the neck or the flange. A sink assembly may comprise a sink basin and the drain located in a sink opening formed in the sink basin.

Abstract: An example embodiment may involve (i) receiving, by a server device, deoxyribonucleic acid (DNA) information associated with a user; (ii) parsing, by the server device, the DNA information to identify one or more single nucleotide polymorphisms (SNPs); (iii) determining, by the server device and based on the identified SNPs, an endocannabinoid genotype of the user; (iv) determining, based on the endocannabinoid genotype of the user, a recommendation of one or more cannabinoid formulations; (v) transmitting, to a client device associated with the user, a web-based representation of a first graphical user interface; and (vi) receiving, from the client device, an indication to display a detailed representation of a particular cannabinoid formulation of the one or more cannabinoid formulations.

Abstract: The disclosure is directed to formulations comprising cannabinoids. More particularly, the cannabinoid formulations can be designed to align with an individual's genotype based on a defined list of polymorphisms.

Abstract: An example embodiment may involve (i) receiving, by a server device, deoxyribonucleic acid (DNA) information associated with a user; (ii) parsing, by the server device, the DNA information to identify one or more single nucleotide polymorphisms (SNPs); (iii) determining, by the server device and based on the identified SNPs, an endocannabinoid genotype of the user; (iv) determining, based on the endocannabinoid genotype of the user, a recommendation of one or more cannabinoid formulations; (v) transmitting, to a client device associated with the user, a web-based representation of a first graphical user interface; and (vi) receiving, from the client device, an indication to display a detailed representation of a particular cannabinoid formulation of the one or more cannabinoid formulations.

Abstract: An automatic drain system may comprise a drain including a neck defining a drain orifice and a flange extending from the neck. A liquid detection sensor is located on at least one of the neck or the flange. A sink assembly may comprise a sink basin and the drain located in a sink opening formed in the sink basin.

Abstract: An example embodiment may involve (i) receiving, by a server device, deoxyribonucleic acid (DNA) information associated with a user; (ii) parsing, by the server device, the DNA information to identify one or more single nucleotide polymorphisms (SNPs)—(iii) determining, by the server device and based, on the identified SNPs, an endocannabinoid genotype of the user; (iv) determining, based on the endocannabinoid genotype of the user, a recommendation of one or more cannabinoid formulations; (v) transmitting, to a client device associated with the user, a web-based representation of a first graphical user interface; and (vi) receiving, from the client device, an indication to display a detailed representation of a particular cannabinoid formulation of the one or more cannabinoid formulations.

Abstract: Examples disclosed herein may involve a computing system that is configured to (i) identify a cannabinoid formulation for which to model efficacy for a given health condition shared by a plurality of individuals, (ii) receive respective efficacy information indicating the efficacy of the cannabinoid formulation for the plurality of individuals, (iii) receive respective genetic information for the plurality of individuals, (iv) receive respective biometric information for the plurality of individuals, (v) apply machine learning techniques to group the plurality of individuals into one or more groups based on their (a) respective efficacy information and (b) similarities in their respective genetic information and respective biometric information, and (vi) embody the one or more groups into a machine learning model that functions to (a) receive, as input data, information for a given individual and (ii) based on an evaluation of the received input data, output an efficacy prediction for the given individual.

Abstract: An example embodiment may involve (i) receiving, by a server device, deoxyribonucleic acid (DNA) information associated with a user; (ii) parsing, by the server device, the DNA information to identify one or more single nucleotide polymorphisms (SNPs)—(iii) determining, by the server device and based, on the identified SNPs, an endocannabinoid genotype of the user; (iv) determining, based on the endocannabinoid genotype of the user, a recommendation of one or more cannabinoid formulations; (v) transmitting, to a client device associated with the user, a web-based representation of a first graphical user interface; and (vi) receiving, from the client device, an indication to display a detailed representation of a particular cannabinoid formulation of the one or more cannabinoid formulations.

Abstract: The disclosure is directed to formulations comprising cannabinoids. More particularly, the cannabinoid formulations can be designed to align with an individual's genotype based on a defined list of polymorphisms.

Abstract: An improved ejector retraction mechanism comprises a fixed actuator, a pair of blocking members positively movable both in and out of the path of the actuator, whereby to positively retract ejector pins on closing of the molds. The actuator and blocking members have flat parallel engaging surfaces for long wear and durability and the actuator also has an enlarged portion which enters a channel and aligns and interlocks the molds.