Methods are described for stratifying patient risk for patients with prostate cancer and for providing a treatment recommendation to a patient based on a phosphodiesterase 4D variant 7 (PDE4D7) risk score. A diagnostic kit and a computer program product for the analysis and determination of the PDE4D7 risk score are also described.

A colored coin having an individual gene phenotype applied thereto. Particularly, a colored coin manufactured and having an individual gene phenotype applied thereto such that an individual can be identified, cannot only be circulated freely as a Bitcoin block or colored coin metadata, but also is useful in various fields, such as gene-based character fabrication and gaming.

A calculation method of acid dissociation constant, including: calculating the acid dissociation constant using function that uses index value determined based on electron density between two atoms in calculation target molecule and coefficient value determined based on types of two elements of set of the two atoms, wherein when the calculation target molecule includes at least one amino group and dissociation of hydrogen atom from one amino group in the at least one amino group is calculated, the function further uses second electron density of nitrogen atom in the one amino group not related to bond between the nitrogen atom and another atom, bond distance between the nitrogen atom and the hydrogen atom, and molecular orbital energy of the calculation target molecule, wherein the calculation method is method for calculating acid dissociation constant in dissociation of the hydrogen atom from the calculation target molecule using computer.

A calculation method of acid dissociation constant, including: calculating the acid dissociation constant using function that uses index value determined based on electron density between two atoms in calculation target molecule and coefficient value determined based on types of two elements of set of the two atoms, wherein when the calculation target molecule includes at least one amino group and dissociation of hydrogen atom from one amino group in the at least one amino group is calculated, the function further uses second electron density of nitrogen atom in the one amino group not related to bond between the nitrogen atom and another atom, bond distance between the nitrogen atom and the hydrogen atom, and molecular orbital energy of the calculation target molecule, wherein the calculation method is method for calculating acid dissociation constant in dissociation of the hydrogen atom from the calculation target molecule using computer.

This disclosure provides systems and methods for sample processing and data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Some or all of a nucleic acid sample may be sequenced to provide sequence information, which may be stored or otherwise maintained in an electronic storage location. The sequence information may be analyzed with the aid of a computer processor, and the analyzed sequence information may be stored in an electronic storage location that may include a pool or collection of sequence information and analyzed sequence information generated from the nucleic acid sample. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample, for producing one or more libraries, and for producing biomedical reports. Methods and systems of the disclosure can aid in the diagnosis, monitoring, treatment, and prevention of one or more diseases and conditions.

This disclosure provides systems and methods for sample processing and data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Some or all of a nucleic acid sample may be sequenced to provide sequence information, which may be stored or otherwise maintained in an electronic storage location. The sequence information may be analyzed with the aid of a computer processor, and the analyzed sequence information may be stored in an electronic storage location that may include a pool or collection of sequence information and analyzed sequence information generated from the nucleic acid sample. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample, for producing one or more libraries, and for producing biomedical reports. Methods and systems of the disclosure can aid in the diagnosis, monitoring, treatment, and prevention of one or more diseases and conditions.

The invention is directed to a method and system to rapidly provide a clinical reportable result for the presence of a target nucleic acid sequence in a sample. The inventive subject matter includes: a method to conduct a rapid assay to provide a clinically reportable result for the presence of a target nucleic acid sequence in a sample. A clinically reportable results is one that is automatically validated. Here the testing and quality control steps are automated to avoid delay caused by human review and validation of each assay.

The invention is directed to a method and system to rapidly provide a clinical reportable result for the presence of a target nucleic acid sequence in a sample. The inventive subject matter includes: a method to conduct a rapid assay to provide a clinically reportable result for the presence of a target nucleic acid sequence in a sample. A clinically reportable results is one that is automatically validated. Here the testing and quality control steps are automated to avoid delay caused by human review and validation of each assay.

Techniques to suggest alternative chemical compounds that can be used to recreate or mimic a target flavor using artificial intelligence are disclosed. A neural network based model is trained on source chemical compounds and their corresponding flavors and odors. The neural network-based model learns compound embeddings of the source chemical compounds and a target chemical compound of a food item. From the compound embeddings, one or more chemical compounds that are closest to the target chemical compound may be determined by a distance metric. Each suggested chemical compound is an alternative that can be used to recreate functional features of the target chemical compound.

Techniques to suggest alternative chemical compounds that can be used to recreate or mimic a target flavor using artificial intelligence are disclosed. A neural network based model is trained on source chemical compounds and their corresponding flavors and odors. The neural network-based model learns compound embeddings of the source chemical compounds and a target chemical compound of a food item. From the compound embeddings, one or more chemical compounds that are closest to the target chemical compound may be determined by a distance metric. Each suggested chemical compound is an alternative that can be used to recreate functional features of the target chemical compound.