Abstract: Processor-implemented methods of controlling an insulin infusion device for a user are provided here. A first method obtains a current insulin on board (IOB) value that estimates active insulin in the user, and compensates a calculated insulin infusion rate in response to the obtained IOB value. A second method supervises the operation of a glucose sensor by obtaining and processing insulin-delivered data and glucose sensor data for the user. An alert is generated if the second method determines that a current glucose sensor value has deviated from a predicted sensor glucose value by at least a threshold amount.

Abstract: A method of administering insulin includes receiving blood glucose measurements of a patient at a data processing device from a glucometer. The blood glucose measurements are separated by a time interval. The method also includes receiving patient information at the data processing device and selecting a subcutaneous insulin treatment from a collection of subcutaneous insulin treatments. The selection is based on the blood glucose measurements and the patient information. The selection includes one or more of a subcutaneous standard program, a subcutaneous program without meal boluses, a meal-by-meal subcutaneous program without carbohydrate counting, a meal-by-meal subcutaneous program with carbohydrate counting, and a subcutaneous program for non-diabetic patients. The method also includes executing, using the data processing device, the selected subcutaneous insulin treatment.

Abstract: Described and illustrated is a system for management of diabetes that includes an infusion pump, glucose sensor and controller with a method programmed into the controller. The infusion pump is configured to deliver insulin to a subject. The glucose sensor is configured to sense glucose levels in the subject and provide output signals representative of the glucose levels in the subject. The controller is programmed receives signals from at least one of the glucose sensor and the pump and configured to issue signals to the pump to deliver an amount of insulin determined by a feedback controller that utilizes a model predictive control of the subject based on desired glucose levels, insulin amount delivered and measured glucose levels of the subject. The controller is also configured to deliver insulin using a tuning factor based on either one of an omission index module or a calibration index module.

Abstract: A measurement module for glucose testing includes a glucose testing measurement module housing, a test strip receptacle formed in the housing, and a connector portion formed in the housing and shaped to permit mechanical removable attachment of the housing to a hand-held computer. Electronics determine the amount of glucose present in a sample of body fluid, when the test strip is positioned in the receptacle and the body fluid is placed on a test strip, and communicate the glucose amount to the hand-held computer via the connector portion.

Abstract: Described and illustrated is a system for management of diabetes that includes an infusion pump, glucose sensor and controller with a method programmed in the controller. The infusion pump is configured to deliver insulin. The glucose sensor senses glucose levels in the subject and provide output signals representative of the glucose levels in the subject. The controller is programmed receives signals from at least one of the glucose sensor and the pump and configured to issue signals to the pump to deliver an amount of insulin determined by a feedback controller that utilizes a model predictive control based on desired glucose levels, insulin amount delivered and measured glucose levels of the subject. The controller is also configured to deliver insulin using a tuning factor (R) for a model predictive controller in the microcontroller as a conservative setting otherwise the system maintains a current tuning factor (R) for the controller.

Abstract: In some aspects, methods of lag compensation of analyte measurements are provided. Methods of lag-compensation are provided for analyte point measurements and/or for analyte rate-of-change measurements. The methods include receiving a series of uncompensated analyte measurements and determining parameter values for analyte point and/or rate-of-change estimates based on reference analyte measurements. The analyte rate-of-change estimate is based on a sum of a plurality of scaled rates-of-changes. The analyte point estimate is based on a sum of an analyte point and a sum of a plurality of scaled rates-of-changes. Devices related to the methods are also provided.

Abstract: Disclosed are methods, apparatuses, etc. for determination and application of a unidimensional metric for assessing a patient's glycemic health. In one particular implementation, a computed metric may be used to balance short-term and long-term risks associated with a particular therapy. In another implementation, a computed unidimensional metric may be used to balance risks of hyperglycemia and hypoglycemia.

Abstract: Methods are provided herein for: calculating cell growth rates in various environments and genetic backgrounds; calculating the order of substrate utilization from a defined growth medium; calculating metabolic flux reorganization in various environments and at various growth rates; and calculating the maximum metabolic rate and optimal metabolite concentrations and enzyme activities by applying a computational optimization method to a kinetic model of a metabolic pathway. The optimization methods use intracellular molecular crowding parameters and/or well as kinetic rates to assist in modeling metabolic activity.

Abstract: A system and method for determining the genetic data for one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available, are disclosed. Genetic data for the target individual is acquired and amplified using known methods, and poorly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related subjects. In accordance with one embodiment of the invention incomplete genetic data is acquired from embryonic cells, fetal cells, or cell-free fetal DNA isolated from the mother's blood, and the incomplete genetic data is reconstructed using the more complete genetic data from a larger sample diploid cells from one or both parents, with or without genetic data from haploid cells from one or both parents, and/or genetic data taken from other related individuals.

Abstract: A system and method for determining the genetic data for one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available, are disclosed. Genetic data for the target individual is acquired and amplified using known methods, and poorly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related subjects. In accordance with one embodiment of the invention, incomplete genetic data is acquired from embryonic cells, fetal cells, or cell-free fetal DNA isolated from the mother's blood, and the incomplete genetic data is reconstructed using the more complete genetic data from a larger sample diploid cells from one or both parents, with or without genetic data from haploid cells from one or both parents, and/or genetic data taken from other related individuals.

Abstract: A method of analyzing a tumor sample comprising: (a) acquiring a library comprising a plurality of tumor members from a tumor sample; (b) contacting the library with a bait set to provide selected members; (c) acquiring a read for a subgenomic interval from a tumor member from said library; (d) aligning said read; and (e) assigning a nucleotide value (e.g., calling a mutation) from said read for the preselected nucleotide position, thereby analyzing said tumor sample.

Abstract: The present disclosure provides methods for determining the ploidy status of a chromosome in a gestating fetus from genotypic data measured from a sample of DNA from the mother of the fetus and from the fetus, and from genotypic data from the mother and optionally also from the father. The ploidy state is determined by using a joint distribution model to create a set of expected allele distributions for different possible fetal ploidy states given the parental genotypic data, and comparing the expected allelic distributions to the pattern of measured allelic distributions measured in the mixed sample, and choosing the ploidy state whose expected allelic distribution pattern most closely matches the observed allelic distribution pattern. In an embodiment, the mixed sample of DNA may be preferentially enriched at a plurality of polymorphic loci in a way that minimizes the allelic bias.

Abstract: A method to extract information from samples taken at different times from a mammalian. These samples are analyzed with respect to one or more analytes giving one or more responses, creating one or more response curves. From this/these response curves is/are changes in the responses calculated as slope, curvatures or mathematical functions. This is especially useful for early detection of acute myocardial infarction.

Abstract: The subject matter disclosed herein relates to systems, methods and/or devices for calibrating sensor data to be used in estimating a blood glucose concentration. A relationship between sensor measurements and reference readings may be used to estimate a relationship between sensor measurements and blood glucose concentration. Such sensor measurements may be weighted according to a decreasing function of uncertainty associated with sensor values.

Abstract: A method of administering insulin includes receiving blood glucose measurements of a patient at a data processing device from a glucometer. The blood glucose measurements are separated by a time interval. The method also includes receiving patient information at the data processing device and selecting a subcutaneous insulin treatment from a collection of subcutaneous insulin treatments. The selection is based on the blood glucose measurements and the patient information. The selection includes one or more of a subcutaneous standard program, a subcutaneous program without meal boluses, a meal-by-meat subcutaneous program without carbohydrate counting, a meal-by-meal subcutaneous program with carbohydrate counting, and a subcutaneous program for non-diabetic patients. The method also includes executing, using the data processing device, the selected subcutaneous insulin treatment.

Abstract: Disclosed herein are methods for determining the copy number of a chromosome in a fetus in the context of non-invasive prenatal diagnosis. In an embodiment, the measured genetic data from a sample of genetic material that contains both fetal DNA and maternal DNA is analyzed, along with the genetic data from the biological parents of the fetus, and the copy number of the chromosome of interest is determined. In an embodiment, the maternal serum is measured using a single-nucleotide polymorphism (SNP) microarray, along with parental genomic data, and the determination of the chromosome copy number is used to make clinical decisions pertaining to the fetus.

Abstract: Systems, methods and/or devices for optimizing a patient's insulin dosage regimen over time, comprising at least a first memory for storing data inputs corresponding at least to one or more components in a patient's present insulin dosage regimen, and data inputs corresponding at least to the patient's blood-glucose-level measurements determined at a plurality of times, and a processor operatively connected to the at least first memory. The processor is programmed at least to determine from the data inputs corresponding to the patient's blood-glucose-level measurements determined at a plurality of times whether and by how much to vary at least one of the one or more components in the patient's present insulin dosage regimen.

Abstract: A method of calibrating glucose monitor data includes collecting the glucose monitor data over a period of time at predetermined intervals. It also includes obtaining at least two reference glucose values from a reference source that temporally correspond with the glucose monitor data obtained at the predetermined intervals. Also included is calculating the calibration characteristics using the reference glucose values and corresponding glucose monitor data to regress the obtained glucose monitor data. And, calibrating the obtained glucose monitor data using the calibration characteristics is included. In preferred embodiments, the reference source is a blood glucose meter, and the at least two reference glucose values are obtained from blood tests. In additional embodiments, calculation of the calibration characteristics includes linear regression and, in particular embodiments, least squares linear regression. Alternatively, calculation of the calibration characteristics includes non-linear regression.

Abstract: The present disclosure provides methods for determining the ploidy status of a chromosome in a gestating fetus from genotypic data measured from a mixed sample of DNA comprising DNA from both the mother of the fetus and from the fetus, and optionally from genotypic data from the mother and father. The ploidy state is determined by using a joint distribution model to create a plurality of expected allele distributions for different possible fetal ploidy states given the parental genotypic data, and comparing the expected allelic distributions to the pattern of measured allelic distributions measured in the mixed sample, and choosing the ploidy state whose expected allelic distribution pattern most closely matches the observed allelic distribution pattern. The mixed sample of DNA may be preferentially enriched at a plurality of polymorphic loci in a way that minimizes the allelic bias, for example using massively multiplexed targeted PCR.

Abstract: Aggregation is a major cause of the misbehavior of proteins. A system for modifying a protein to create a more stable variant is provided. The method involves identifying non-conserved hydrophobic amino acid residues on the surface of a protein, suitable for mutating to more hydrophilic residues (e.g., charged amino acids). Any number of residues on the surface may be changed to create a variant that is more soluble, resistant to aggregation, has a greater ability to re-fold, and/or is more stable under a variety of conditions. The invention also provides GFP, streptavidin, and GST variants with an increased theoretical net charge created by the inventive technology. Kits are also provided for carrying out such modifications on any protein of interest.