A method and a system of determining activity of a target enzyme of a sample is described. The method comprises bringing the sample in physical contact with a substrate for the target enzyme, incubating the sample with the substrate for an actual incubating time, determining a parameter value associated to enzymatic actions of the target enzyme involving the substrate, correlating the actual incubation time for the sample to at least two sets of reference data, determining a best fit standard curve correlated to the actual incubation time for the sample, and correlating the determined parameter value to the best fit standard curve and determine the target enzyme activity. Each of the at least two sets of reference data comprises data representing a standard curve for the parameter associated to the enzymatic actions of the target enzyme involving the substrate as a function of enzyme activity and correlated to an incubation time.

A method and a system of determining activity of a target enzyme of a sample is described. The method comprises bringing the sample in physical contact with a substrate for the target enzyme, incubating the sample with the substrate for an actual incubating time, determining a parameter value associated to enzymatic actions of the target enzyme involving the substrate, correlating the actual incubation time for the sample to at least two sets of reference data, determining a best fit standard curve correlated to the actual incubation time for the sample, and correlating the determined parameter value to the best fit standard curve and determine the target enzyme activity. Each of the at least two sets of reference data comprises data representing a standard curve for the parameter associated to the enzymatic actions of the target enzyme involving the substrate as a function of enzyme activity and correlated to an incubation time.

The disclosure presents a new computer based model framework to predict drug effects over multiple time and spatial scales from the drug chemistry to the cardiac rhythm. The disclosure presents a new computer based model framework to predict drug effects from the level of the receptor interaction to the cardiac rhythm.

A system and method is provided for using a communications network coupling a plurality of computer systems, a database, and a at least one external data source together to facilitate communication therebetween. The plurality of computer systems is configured to extract at least one term from a medical order for the patient, identify at least one medical concept related to an extracted term, and identify at least one medical data element related to an identified medical concept. The plurality of computer system is further configured to query the database for the identified at least one medical data element, query the at least one external data source to retrieve at least one guideline for performing at least one intervention associated with the at least one medical data element, and generate a user interface that displays at least a portion of a result from the queries.

A system and method is provided for using a communications network coupling a plurality of computer systems, a database, and a at least one external data source together to facilitate communication therebetween. The plurality of computer systems is configured to extract at least one term from a medical order for the patient, identify at least one medical concept related to an extracted term, and identify at least one medical data element related to an identified medical concept. The plurality of computer system is further configured to query the database for the identified at least one medical data element, query the at least one external data source to retrieve at least one guideline for performing at least one intervention associated with the at least one medical data element, and generate a user interface that displays at least a portion of a result from the queries.

The present invention provides algorithm-based molecular assays that involve measurement of expression levels of genes from a biological sample obtained from a kidney cancer patient. The present invention also provides methods of obtaining a quantitative score for a patient with kidney cancer based on measurement of expression levels of genes from a biological sample obtained from a kidney cancer patient. The genes may be grouped into functional gene subsets for calculating the quantitative score and the gene subsets may be weighted according to their contribution to cancer recurrence.

The present invention provides algorithm-based molecular assays that involve measurement of expression levels of genes from a biological sample obtained from a kidney cancer patient. The present invention also provides methods of obtaining a quantitative score for a patient with kidney cancer based on measurement of expression levels of genes from a biological sample obtained from a kidney cancer patient. The genes may be grouped into functional gene subsets for calculating the quantitative score and the gene subsets may be weighted according to their contribution to cancer recurrence.

A method is provided for determining soil properties for an area of land, from soil spectrum data. In an embodiment, the method includes receiving soil spectrum data records from hyperspectral sensors that represent a mean soil spectrum of a specific geo-location of the area of land and removing interference signals from the spectrum data records to create soil spectral bands. The method also includes predicting a plurality of soil property datasets based on a partial least-square regression and the soil spectral bands and selecting specific soil property datasets from the plurality of soil property datasets to represent soil properties of the specific geo-location, wherein the specific soil property datasets include property data and spectral band data for spectral bands used to determine the property data. The specific soil property datasets may then be used to generate a crop prescription of recommended hybrid seeds or population densities for the specific geo-location.

The present invention relates to a method comprising inferring activity of a PI3K cellular signaling pathway in a tissue and/or cells and/or a body fluid of a medical subject based at least on expression levels of one or more target gene(s) of the PI3K cellular signaling pathway measured in an extracted sample of the tissue and/or the cells and/or the body fluid of the medical subject. The present invention further relates to an apparatus comprising a digital processor configured to perform such a method, a non-transitory storage medium storing instructions that are executable by a digital processing device to perform such a method, and a computer program comprising program code means for causing a digital processing device to perform such a method.

The present invention relates to a method comprising inferring activity of a PI3K cellular signaling pathway in a tissue and/or cells and/or a body fluid of a medical subject based at least on expression levels of one or more target gene(s) of the PI3K cellular signaling pathway measured in an extracted sample of the tissue and/or the cells and/or the body fluid of the medical subject. The present invention further relates to an apparatus comprising a digital processor configured to perform such a method, a non-transitory storage medium storing instructions that are executable by a digital processing device to perform such a method, and a computer program comprising program code means for causing a digital processing device to perform such a method.