A synthetic, cognitive cell, system, and method for automatically generating an output based on an environmental input is disclosed. The cognitive cell includes an operator including chemical agents, and a coded chemical including polymers. Each of the polymers includes a sequence of affinity blocks of molecular groups arranged in predetermined patterns to define a multi-layered base code. Each of the affinity blocks includes a monomer with a sidechain, the sidechains having affinities to each other. At least a portion of the affinity blocks forming a gate switch defining a bridge between the environmental inputs and the chemical agent whereby, upon exposure to the environmental inputs, the gate switches trigger the chemical agent to perform an operation. The coded chemical and at least one chemical agent are contained within a natural or synthetic membrane.

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.

A method for building and using soil models that determine soil properties from soil spectrum data is provided. In an embodiment, building soil model may be accomplished using soil spectrum data received via hyperspectral sensors from a land unit. A processor updates the soil spectrum data by removing interference signals from the soil spectrum data. Multiple ground sampling locations within the land unit are then determined based on the updated soil spectrum data. Soil property data are obtained from ground sampling at the ground sampling locations. Soil models that correlate the updated soil spectrum data with the soil property data are created based on the updated soil spectrum data and the soil property data. The soil models are sent to a storage for future use.

This disclosure provides for a highly-efficient and scalable compression tool that compresses quality scores, preferably by capitalizing on sequence redundancy. In one embodiment, compression is achieved by smoothing a large fraction of quality score values based on k-mer neighborhood of their corresponding positions in read sequences. The approach exploits the intuition that any divergent base in a k-mer likely corresponds to either a single-nucleotide polymorphism (SNP) or sequencing error; thus, a preferred approach is to only preserve quality scores for probable variant locations and compress quality scores of concordant bases, preferably by resetting them to a default value. By viewing individual read datasets through the lens of k-mer frequencies in a corpus of reads, the approach herein ensures that compression “lossiness” does not affect accuracy in a deleterious way.

This disclosure provides for a highly-efficient and scalable compression tool that compresses quality scores, preferably by capitalizing on sequence redundancy. In one embodiment, compression is achieved by smoothing a large fraction of quality score values based on k-mer neighborhood of their corresponding positions in read sequences. The approach exploits the intuition that any divergent base in a k-mer likely corresponds to either a single-nucleotide polymorphism (SNP) or sequencing error; thus, a preferred approach is to only preserve quality scores for probable variant locations and compress quality scores of concordant bases, preferably by resetting them to a default value. By viewing individual read datasets through the lens of k-mer frequencies in a corpus of reads, the approach herein ensures that compression “lossiness” does not affect accuracy in a deleterious way.

Embodiments herein described provide methods for determining phenotypic parameters of cell populations and expressing them in terms of tensors that can be compared with one another. Embodiments provide methods for determining phenotypic parameters of cell populations in response to an agent. Embodiments provide methods for comparing effects of an agent on phenotypic parameters to effects of reference standards whose in vivo effects are known. Embodiments provide methods for predicting the effect of an agent by the comparison with the known effects of reference standards. Embodiments provide methods for classifying agents by their effects on phenotypic parameters. Embodiments provide software and computer systems for calculating multiparametric tensors, compressing their complexity and comparing them after compression.

Embodiments herein described provide methods for determining phenotypic parameters of cell populations and expressing them in terms of tensors that can be compared with one another. Embodiments provide methods for determining phenotypic parameters of cell populations in response to an agent. Embodiments provide methods for comparing effects of an agent on phenotypic parameters to effects of reference standards whose in vivo effects are known. Embodiments provide methods for predicting the effect of an agent by the comparison with the known effects of reference standards. Embodiments provide methods for classifying agents by their effects on phenotypic parameters. Embodiments provide software and computer systems for calculating multiparametric tensors, compressing their complexity and comparing them after compression.

A system for sharing consumable inventory in a laboratory management system includes a middleware software component controlled by a processor, a plurality of instruments operatively coupled to the middleware software component, and a consumable item to be removably installed in a first selected instrument. The consumable item is used by the first selected instrument to perform tests, where the first selected instrument partially depletes the consumable item. The first selected instrument is to update status and usage information regarding the consumable item. A consumables database is operatively coupled to the middleware software component and the processor is to store the updated status and usage information in the consumables database corresponding to the consumable item. The consumables database is accessible by the plurality of instruments such that a second selected instrument performs tests using the partially depleted consumable item, based on the corresponding updated status and usage information.

A system for sharing consumable inventory in a laboratory management system includes a middleware software component controlled by a processor, a plurality of instruments operatively coupled to the middleware software component, and a consumable item to be removably installed in a first selected instrument. The consumable item is used by the first selected instrument to perform tests, where the first selected instrument partially depletes the consumable item. The first selected instrument is to update status and usage information regarding the consumable item. A consumables database is operatively coupled to the middleware software component and the processor is to store the updated status and usage information in the consumables database corresponding to the consumable item. The consumables database is accessible by the plurality of instruments such that a second selected instrument performs tests using the partially depleted consumable item, based on the corresponding updated status and usage information.