Abstract: The invention provides compositions and methods for treating diseases associated with expression of EGFRvIII. The invention also relates to chimeric antigen receptor (CAR) specific to EGFRvIII, vectors encoding the same, and recombinant T cells comprising the anti-EGFRvIII CAR. The invention also includes methods of administering a genetically modified T cell expressing a CAR that comprises an anti-EGFRvIII binding domain.

Abstract: A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.

Abstract: Systems and methods for implementing an application programming interface (API) that controls operations of a machine learning tuning service for tuning a machine learning model for improved accuracy and computational performance includes an API that is in control communication the tuning service that: executes a first API call function that includes an optimization work request that sets tuning parameters for tuning hyperparameters of a machine learning model; and initializes an operation of distinct tuning worker instances of the service that each execute distinct tuning tasks for tuning the hyperparameters; executes a second API call function that identifies raw values for the hyperparameters; and generates suggestions comprising proposed hyperparameter values selected from the plurality of raw values for each of the hyperparameters; and executes a third API call function that returns performance metrics relating to a real-world performance of the subscriber machine learning model executed with the propose

Abstract: Systems and methods for implementing an application programming interface (API) that controls operations of a machine learning tuning service for tuning a machine learning model for improved accuracy and computational performance includes an API that is in control communication the tuning service that: executes a first API call function that includes an optimization work request that sets tuning parameters for tuning hyperparameters of a machine learning model; and initializes an operation of distinct tuning worker instances of the service that each execute distinct tuning tasks for tuning the hyperparameters; executes a second API call function that identifies raw values for the hyperparameters; and generates suggestions comprising proposed hyperparameter values selected from the plurality of raw values for each of the hyperparameters; and executes a third API call function that returns performance metrics relating to a real-world performance of the subscriber machine learning model executed with the propose

Abstract: A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.

Abstract: A system and method includes receiving a tuning work request for tuning an external machine learning model; implementing a plurality of distinct queue worker machines that perform various tuning operations based on the tuning work data of the tuning work request; implementing a plurality of distinct tuning sources that generate values for each of the one or more hyperparameters of the tuning work request; selecting, by one or more queue worker machines of the plurality of distinct queue worker machines, one or more tuning sources of the plurality of distinct tuning sources for tuning the one or more hyperparameters; and using the selected one or more tuning sources to generate one or more suggestions for the one or more hyperparameters, the one or more suggestions comprising values for the one or more hyperparameters of the tuning work request.

Abstract: The present invention is an improved safety harness for animals riding in a motor vehicle, wherein the harness prevents or greatly reduces the chance of the animal's lower quarters from being forced under the animal's head and shoulders, reduces the amount of rotational movement, reduces the side to side movement, reduces the chance for the dog to be forced off the car seat and reduces the amount of head excursion during a vehicle crash or a sudden stop.

Abstract: The present invention is an improved safety harness for animals riding in a motor vehicle, wherein the harness prevents or greatly reduces the chance of the animal's lower quarters from being forced under the animal's head and shoulders, reduces the amount of rotational movement, reduces the side to side movement, reduces the chance for the dog to be forced off the car seat and reduces the amount of head excursion during a vehicle crash or a sudden stop.

Abstract: The invention provides compositions and methods for treating diseases associated with expression of EGFRvIII. The invention also relates to chimeric antigen receptor (CAR) specific to EGFRvIII, vectors encoding the same, and recombinant T cells comprising the anti-EGFRvIII CAR. The invention also includes methods of administering a genetically modified T cell expressing a CAR that comprises an anti-EGFRvIII binding domain.

Abstract: The invention provides compositions and methods for treating diseases associated with expression of EGFRvIII. The invention also relates to chimeric antigen receptor (CAR) specific to EGFRvIII, vectors encoding the same, and recombinant T cells comprising the anti-EGFRvIII CAR. The invention also includes methods of administering a genetically modified T cell expressing a CAR that comprises an anti-EGFRvIII binding domain.

Abstract: The present invention is an improved safety harness for animals riding in a motor vehicle, wherein the harness prevents of greatly reduces the chance of the animal's lower quarters from being forced under the animal's head and shoulders during a vehicle crash.

Abstract: The invention provides compositions and methods for treating diseases associated with expression of EGFRvIII. The invention also relates to chimeric antigen receptor (CAR) specific to EGFRvIII, vectors encoding the same, and recombinant T cells comprising the anti-EGFRvIII CAR. The invention also includes methods of administering a genetically modified T cell expressing a CAR that comprises an anti-EGFRvIII binding domain.