Abstract: Methods and system to provide glycemic control and therapy management based on monitored glucose data, and current and/or target HbA1C levels are provided.

Abstract: A system and method for treating Parkinson's disease by delivery of an agent within the brain. At least one image of a target region is acquired, and at least one magnetic resonance diffusion tensor imaging (MR-DTI) scan of the target region is acquired. A diffusion tensor is calculated from the at least one MR-DTI scan, and at least one of an agent distribution and an agent concentration from the images and the calculated diffusion tensor is calculated. Using at least one of the calculated diffusion tensor, the images, the calculated agent distribution, and the calculated agent concentration, the placement of a delivery instrument is planned to deliver the agent to the target region to achieve a desired agent concentration and/or agent distribution within the target region. Delivery of the agent can be coordinated with an applied electrical stimulation.

Abstract: Presented herein is a handheld analyte measurement device. The analyte measurement device includes one or more software applications to help the user manager their diabetes. Embodiments and descriptions of the various applications are provided below in conjunction with the handheld analyte measurement device.

Abstract: A system and method for treating Alzheimer's disease by delivery of an agent within the brain. At least one image of a target region is acquired, and at least one magnetic resonance diffusion tensor imaging (MR-DTI) scan of the target region is acquired. A diffusion tensor is calculated from the at least one MR-DTI scan, and at least one of an agent distribution and an agent concentration from the images and the calculated diffusion tensor is calculated. Using at least one of the calculated diffusion tensor, the images, the calculated agent distribution, and the calculated agent concentration, the placement of a delivery instrument is planned to deliver the agent to the target region to achieve a desired agent concentration and/or agent distribution within the target region.

Abstract: A system and method for treating Amyotrophic Lateral Sclerosis (ALS) by delivery of an agent within the brain. At least one image of a target region is acquired, and at least one magnetic resonance diffusion tensor imaging (MR-DTI) scan of the target region is acquired. A diffusion tensor is calculated from the at least one MR-DTI scan, and at least one of an agent distribution and an agent concentration from the images and the calculated diffusion tensor is calculated. Using at least one of the calculated diffusion tensor, the images, the calculated agent distribution, and the calculated agent concentration, the placement of a delivery instrument is planned to deliver the agent to the target region to achieve a desired agent concentration and/or agent distribution within the target region.

Abstract: A method of administering insulin includes receiving subcutaneous information for a patient at a computing device and executing a subcutaneous outpatient program for determining recommended insulin dosages. The subcutaneous outpatient program includes obtaining blood glucose data of the patient from a glucometer in communication with the computing device, aggregating blood glucose measurements to determine a representative aggregate blood glucose measurement associated with at least one scheduled blood glucose time interval, and determining a next recommended insulin dosage for the patient based on the representative aggregate blood glucose measurement and the subcutaneous information. The method also includes transmitting the next recommended insulin dosage to a portable device associated with the patient. The portable device displays the next recommended insulin dosage.

Abstract: A controller for an insulin infusion device includes a processor device and a memory element that cooperate to provide a processor-implemented closed-loop insulin limit module. The insulin limit module is operated to obtain: a fasting blood glucose value of a user; a total daily insulin value of the user; and fasting insulin delivery data that is indicative of insulin delivered to the user during a fasting period. The insulin limit module calculates a maximum insulin infusion rate for the user based on the fasting blood glucose value, the total daily insulin value, and the fasting insulin delivery data. The maximum insulin infusion rate is applicable during a period of closed-loop operation of the insulin infusion device.

Abstract: The invention provides methods for predicting therapeutic responsiveness of a subject suffering from cognitive impairments or dysfunctions, psychotic and/or neurodegenerative disorders to an alpha 7 nicotinic acetylcholine receptor activator treatment.

Abstract: Methods for prevention and treatment of kidney transplant rejection are described that involve determination, analysis and computation of a 3-gene molecular signature of levels of specific RNAs (IP-10 mRNA, CD3? mRNA, and 18S rRNA) in urinary sample cells. The methods and devices described herein are diagnostic and prognostic of acute cellular rejection in kidney allografts.

Abstract: A method of determining risk of diabetes is provided. In one embodiment, the method comprises: a) measuring the levels of a plurality of biomarkers in a blood samples obtained from a patient, wherein the plurality of biomarkers comprises at least five of the following biomarkers: glucose, adiponectin, CRP, IL2RA, ferritin, insulin and HbAIc; b) calculating a diabetes risk score for the patients using the levels and, optionally, patient age and/or gender. Results obtained from performing the assay on a reference population are similar or identical to those obtained using Formula I.

Abstract: Described are techniques governing the glycemic ranges that are applied and governed in the meter so the user is not required to understand or know the editing rules in order to use or set up the meter. These guiding principles will come into effect each time the user chooses to edit the ranges. There will be appropriate warning messages to inform the user if the user does not set the ranges correctly.

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: The invention provides, inter alia, recombinase-based systems that provide for integrated logic and memory in living cells.

Abstract: Devices that include multi-reservoir infusion devices and systems for dispensing compositions for the treatment of subjects with an amylin agonist (e.g., the amylin agonist analog, pramlintide), wherein amylin agonists are administered in certain differential bolus and basal ratios to an administered insulin, as well as methods, compositions, and kits and articles of manufacture comprising said compositions for use in the treatment of responsive patients with an amylin and an insulin in ratios thereof that are distinct for bolus and basal administration.

Abstract: We have created novel engineered genetic counter designs and methods of use thereof that utilize DNA recombinases to provide modular systems, termed single invertase memory modules (SIMMs), for encoding memory in cells and cellular systems. Our designs are easily extended to compute to high numbers, by utilizing the >100 known recombinases to create subsequent modules. Flexibility in our engineered genetic counter designs is provided by daisy-chaining individual modular components, i.e., SIMMs together. These modular components of the engineered genetic counters can be combined in other network topologies to create circuits that perform, amongst other things, logic and memory. Our novel engineered genetic counter designs allow for the maintenance of memory and provide the ability to count between discrete states by expressing the recombinases between their cognate recognition sites.

Abstract: Methods for analyzing signal data generated by sequencing of a polynucleotide strand using a pH-based method of detecting nucleotide incorporation(s). In an embodiment, the method comprises formulating a function that models the output signal of a representative empty well of a reactor array. A time transformation is applied to the empty well function to obtain a time-warped empty well function. The time-warped empty well function is fitted to an output signal from the loaded well representative of a flow that results in a non-incorporation event in the loaded well. The fitted time-warped empty well function can then be used to analyze output signals from the loaded well for other flows.

Abstract: Described are methods and systems for determining modal patterns from an overall trend, minor trend or significant trend for various periods during a time of the day modal report which can be utilized to provide insights to the person with diabetes.

Abstract: A glucose tolerance analyzer comprising: an accepting section configured to accept inputs of information regarding a type of food or drink ingested by a subject, information regarding an intake amount of the food or drink, and information regarding an amount of glucose in the subject after the ingestion of the food or drink; an output section configured to output an analysis result of glucose tolerance; and a controller configured to: calculate a reference value for analyzing glucose tolerance of the subject based on the accepted information regarding the type of the food or drink ingested by the subject and the information regarding the intake amount of the food or drink, and based on a predetermined index regarding blood glucose increase due to food or drink; analyze the glucose tolerance of the subject based on the accepted information regarding the amount of glucose and based on the calculated reference value; and control the output section to output an obtained analysis result as an analysis result of gl

Abstract: Systems and methods for analyzing genetic sequence data involve: (a) obtaining, by a computer system, genetic sequencing data pertaining to a subject; (b) splitting the genetic sequencing data into a plurality of segments; (c) processing the genetic sequencing data such that intra-segment reads, read pairs with both mates mapped to the same data set, are saved to a respective plurality of individual binary alignment map (BAM) files corresponding to that respective segment; (d) processing the genetic sequencing data such that inter-segment reads, read pairs with both mates mapped to different segments, are saved into at least a second BAM file; and (e) processing at least the first plurality of BAM files along parallel processing paths. The plurality of segments may correspond to any given number of genomic subregions and may be selected based upon the number of processing cores used in the parallel processing.

Abstract: An apparatus for processing a set of data values, a data value representing a physiological measure of a body fluid at a time instant, comprising: an estimated probability function calculator for calculating an estimated probability function associated with the set of data values; a transform calculator for calculating a non-linear transform rule using a predetermined target probability function being different from the estimated probability function, so that the probability function of a set of transform data values is closer to the target probability function than the estimated probability function; and a transformer for applying the transform rule to the set of data values or to at least one further data value not included in the set of data values and sampled at the different time instant from the time instants for the set of data values to obtain at least one transformed value representing the physiological measure.