The computer implemented method (600) to provide predictive, real time, skin hydration performance metrics for a composition, comprises, at least: a step (205) of selecting, upon a computer interface, at least one chemical compound digital identifier, to form a composition, a step (610) of retrieving, from a database, at least one value representative of a polarity value of at least one selected chemical compound identifier, a step (615) of predicting at least one moisturizing factor value for at least one chemical compound identifier or of the composition as a function of at least one retrieved polarity value and a step (620) of outputting at least one moisturizing factor value predicted.

The invention also aims at volatile composition obtained by using the volatile composition assembling method of the present invention.

The present invention provides a process and method for repurposing existing compounds by leveraging genomic, phenotypic and pharmacological data to cure disease. Applying advanced mathematical analytics using massively interconnected computing capabilities to identify target rich sets of existing compounds available for animal testing at the earliest stage in the process collapses cycle time of development, dramatically reducing costs. Target rich sets obtained through this invention produce compounds or compositions which each have a demonstrated ability to modulate disease or an associated phenotypic expression. By rendering the mechanism of action irrelevant, this invention collapses the time and cost to discovery of an efficacious drug from decades to days and from $Billions to $Millions.

The present invention provides a process and method for repurposing existing compounds by leveraging genomic, phenotypic and pharmacological data to cure disease. Applying advanced mathematical analytics using massively interconnected computing capabilities to identify target rich sets of existing compounds available for animal testing at the earliest stage in the process collapses cycle time of development, dramatically reducing costs. Target rich sets obtained through this invention produce compounds or compositions which each have a demonstrated ability to modulate disease or an associated phenotypic expression. By rendering the mechanism of action irrelevant, this invention collapses the time and cost to discovery of an efficacious drug from decades to days and from $Billions to $Millions.

A method for determining interaction information, a method for training interaction information prediction model, a device, and a medium are provided. The method includes obtaining basic information of a first target object, basic information of a second target object, and a target interaction information prediction model, the target interaction information prediction model being obtained through training by using a global-level loss function and a key local-level loss function, the key local-level loss function being determined based on attention information corresponding to one or more key sub-sample objects in one or more sample objects meeting a reference condition; and invoking the target interaction information prediction model to process the basic information of the first target object and the basic information of the second target object, and obtaining target interaction information between the first target object and the second target object.

A method for determining interaction information, a method for training interaction information prediction model, a device, and a medium are provided. The method includes obtaining basic information of a first target object, basic information of a second target object, and a target interaction information prediction model, the target interaction information prediction model being obtained through training by using a global-level loss function and a key local-level loss function, the key local-level loss function being determined based on attention information corresponding to one or more key sub-sample objects in one or more sample objects meeting a reference condition; and invoking the target interaction information prediction model to process the basic information of the first target object and the basic information of the second target object, and obtaining target interaction information between the first target object and the second target object.

The embodiments disclose a method including planning a combining sequence of the atoms and compounds with carbon atoms to achieve sequentially predetermined covalent and ion bonding molecular structures, using magnetic fields of force to align atoms and molecules to uniformly orient the atoms and molecules polar alignments when sequentially combining with the carbon atoms, confirming the final carbon combined compound molecular structure conforms to the planned sequential molecular structure using an apparatus, and creating a beverage using the final carbon combined compound molecules to fortify the beverage nutritional content including fulvic acid.

Lack of safety and efficacy are the two major unwanted biological responses that play as critical bottlenecks for the success of drug candidates in drug discovery and development. Conventional systems and methods involve ineffective exploration and use of chemical information space and thereby, may fail to address safety and efficacy issues. Embodiments of the present disclosure provides an effective solution to the above bottle-necks with the effective exploration/search of chemical information space using effective statistical techniques that yield meaningful chemical information comprising relevant descriptors, fingerprints, fragments, optimized set of structural images, and the like. Further, it provides robust predictive models for the biological response, example renal toxicity using the selected chemical information in an automated manner for a given experimental data and alerts/rules that can be successfully employed to address failures of drug candidates during discovery and development.

Lack of safety and efficacy are the two major unwanted biological responses that play as critical bottlenecks for the success of drug candidates in drug discovery and development. Conventional systems and methods involve ineffective exploration and use of chemical information space and thereby, may fail to address safety and efficacy issues. Embodiments of the present disclosure provides an effective solution to the above bottle-necks with the effective exploration/search of chemical information space using effective statistical techniques that yield meaningful chemical information comprising relevant descriptors, fingerprints, fragments, optimized set of structural images, and the like. Further, it provides robust predictive models for the biological response, example renal toxicity using the selected chemical information in an automated manner for a given experimental data and alerts/rules that can be successfully employed to address failures of drug candidates during discovery and development.

A device may receive information identifying results of a spectroscopic measurement of an unknown sample. The device may perform a first classification of the unknown sample based on the results of the spectroscopic measurement and a global classification model. The device may generate a local classification model based on the first classification. The device may perform a second classification of the unknown sample based on the results of the spectroscopic measurement and the local classification model. The device may provide information identifying a class associated with the unknown sample based on performing the second classification.

A method for calculating excited state properties of a molecular system using a hybrid classical-quantum computing system includes determining, using a quantum processor and memory, a ground state wavefunction of a combination of quantum logic gates. In an embodiment, the method includes forming a set of excitation operators. In an embodiment, the method includes forming a set of commutators from the set of excitation operators and a Hamiltonian operator. In an embodiment, the method includes mapping the set of commutators onto a set of qubit states, the set of qubit states corresponding to a set of qubits of the quantum processor. In an embodiment, the method includes evaluating, using the quantum processor and memory, the set of commutators. In an embodiment, the method includes causing a quantum readout circuit to measure an excited state energy from the set of computed commutators.