An optimization system includes a) one or more processors; b) a loop search engine configured to perform a loop search based on a random blending ratio of blending components for at least a product, and to generate a first optimized blending ratio; and c) a local search engine configured to perform a local search based on the first optimized blending ratio, and to generate a second optimized blending ratio. The loop search engine and the local search engine are implemented on the one or more processors.

A flow field having an inflow/outflow interface is set as an analysis region, a fluid in the flow field is handled as an aggregate of a plurality of particles, and simulation is performed by using a molecular dynamics method. Here, a simulation method includes process of maintaining a temperature and a pressure in a heat bath at target values by compensating for changes in the temperature and the pressure in the heat bath with the passage of time in an analysis model in which the heat bath is connected to the inflow/outflow interface of the analysis region, and a particle is allowed to move between the heat bath and the analysis region.

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.

Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.

Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.

The present invention is related to novel methods for categorizing and treating a population of subjects that are at risk for increased pulmonary exacerbation and disease progression.

The present invention is related to novel methods for categorizing and treating a population of subjects that are at risk for increased pulmonary exacerbation and disease progression.

Disclosed are a method and a system for determining genome copy number variation, which relates to the technical field of bioinformatics. The method and the system have clinical feasibility, and can precisely detect a micro-deletion/micro-duplication area of 0.5 M under the situation of using data of about 50 M.

Disclosed are a method and a system for determining genome copy number variation, which relates to the technical field of bioinformatics. The method and the system have clinical feasibility, and can precisely detect a micro-deletion/micro-duplication area of 0.5 M under the situation of using data of about 50 M.