Abstract: Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: Devices, systems and methods for adjusting fluid delivery based on past or historical fluid delivery data and/or personal parameters of a user are disclosed. Devices, and corresponding systems and methods, may comprise a dispensing unit configured to deliver a fluid from a reservoir into the body of a user and a processor having instructions operating thereon to retrieve data relating to one or more time windows from a memory, assess a correction delivery for the one or more time windows based on the data, determine a new CIR value for the one or more time windows if the correction delivery regularly follows a meal bolus and/or determine a new basal delivery profile for the one or more time windows if the correction delivery regularly precedes a meal bolus.

Abstract: Methods and apparatuses for the analysis of mass spectroscopic (MS) data as well as ultraviolet (UV) absorption data. In particular, described herein are tools and methods to assist in generating annotated peptide maps from a raw MS data.

Abstract: Systems and methods for detecting and reporting patterns in analyte concentration data are provided. According to some implementations, an implantable device for continuous measurement of an analyte concentration is disclosed. The implantable device includes a sensor configured to generate a signal indicative of a concentration of an analyte in a host, a memory configured to store data corresponding at least one of the generated signal and user information, a processor configured to receive data from at least one of the memory and the sensor, wherein the processor is configured to generate pattern data based on the received information, and an output module configured to output the generated pattern data. The pattern data can be based on detecting frequency and severity of analyte data in clinically risky ranges.

Abstract: A tutor model building system includes a user interface device having a monitor to present to a user a predetermined learning interface of a problem requiring a solution and an input device for the user to enter data showing actions taken to arrive at a solution into the system, a computer to capture the actions entered by the developer user and to generate a behavior demonstration associated with the actions entered and to combine a plurality of behavior demonstrations created from a plurality of user entered data to a behavior graph, and an output device to provide the behavior graph to an authoring tool.

Abstract: Provided is a component measuring apparatus configured to determine a functional form that describes wavelength characteristics of a variation attributable to scattering (S (?)). The apparatus then determines unknown one or more coefficients (p, q) based on a first relational expression that involves a variation attributable to absorption (H (?1)) and a group of second relational expressions that do not involve variations attributable to absorption (H (?2a), H (?2b), H (?2c)). The apparatus then corrects an absorbance measured at an arbitrary wavelength (?) using a function where the one or more coefficients (p, q) are applied to the functional form so as to reduce or eliminate at least the effects of scattering of light.

Abstract: With the advent of low cost, high-throughput whole genome sequencing (“next generation sequencing”), tools are available to assay human genetic variation contributing to inherited disease syndromes. A method is disclosed for prioritization of genetic variants, and identification of disease genes, using network modeling of gene associations.

Abstract: An apparatus for optimizing a patient's insulin dosage regimen over time, comprising: at least a first computer-readable memory for storing data inputs corresponding at least to one or more components in a patient's present insulin dosage regimen and the patient's blood-glucose-level measurements determined at a plurality of times; a processor operatively connected to the at least first computer-readable memory, the processor 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 of the patient's present insulin dosage regimen in order to maintain the patient's future blood-glucose-level measurements within a predefined range; and a display operative to display information corresponding to at least the patient's present insulin dosage regimen.

Abstract: A method is disclosed involving monitoring the concentration of at least one target analyte in a sample of body fluid using a meter, the meter including a user interface, the method including: obtaining a sample of body fluid; testing the sample to determine the concentration of the at least one target analyte contained therein; and presenting the user with a reminder to associate the test with an appropriate time corresponding to before or after a particular meal using the user interface. Associated devices, systems and arrangements are also disclosed.

Abstract: A method, system and computer readable medium for tracking changes in average glycemia in diabetes is based on a conceptually new approach to the retrieval of SMBG data. Using the understanding of HbA1c fluctuation as the measurable effect of the action of an underlying dynamical system, SMBG provides occasional glimpses at the state of this system and, using these measurements, the hidden underlying system trajectory can be reconstructed for individual diabetes patients. Using compartmental modeling a new two-step algorithm is provided that includes: (i) real-time estimate of HbA1c from fasting glucose readings, updated with any new incoming fasting SMBG data point(s), and (ii) initialization and calibration of the estimated HbA1c trace with daily SMBG profiles obtained periodically. The estimation of these profiles includes a factorial model capturing daily BG variability within two latent factors.

Abstract: Exemplary methods for use in identifying crosses for use in plant breeding are disclosed. One exemplary method includes selecting a subgroup of potential crosses, based on thresholds associated with population prediction scores for the set of potential crosses. The exemplary method further includes selecting multiple target crosses from the subgroup of potential crosses based on a genetic relatedness of the parents in the subgroup of potential crosses, filtering the target crosses based on a rule (or rules) defining a threshold (or thresholds) for at least one characteristic and/or trait, selecting ones of the filtered target crosses based on risk associated with the selected one of the filtered target crosses, and directing the selected ones of the filtered target crosses into a breeding pipeline, thereby providing crosses to the breeding pipeline based, at least in part, on commercial success of parents included in the selected ones of the filtered crosses.

Abstract: Systems, methods, and computer readable storage media manage low blood glucose levels. The system receives blood glucose readings, where each reading includes a blood glucose value and a respective timestamp. The system compares each blood glucose reading to a predefined hypoglycemic event threshold, and identifies hypoglycemic events when a respective blood glucose reading is below the predefined hypoglycemic event threshold. For at least a subset of the identified hypoglycemic events, the system prompts a user for information associated with each hypoglycemic event. The information requested includes one or more of: symptoms associated with the respective hypoglycemic event; perceived causes of the respective hypoglycemic event; and treatment for the respective hypoglycemic event. In response to the prompting, the system obtains feedback about the identified hypoglycemic events and provides a report that includes at least a subset of the obtained feedback.

Abstract: Apparatus, systems, and methods are provided for assessing clot activity in blood under various conditions in vitro. The apparatus includes a plurality of test receptacles that receive the blood, at least one flow generating mechanism in communication with the test receptacles, and a clot detector configured to analyze an amount of clot formation that occurs within the blood in each receptacle. Blood contacting surfaces of a first subset of the test receptacles are coated with a first surface substrate and blood contacting surfaces of a second subset of the test receptacles are coated with a different second surface substrate. The flow generating mechanism is configured to generate a first blood flow rate through a third subset of the test receptacles and to generate a different second blood flow rate through a fourth subset of the test receptacles.

Abstract: Methods and devices involving using a bolus calculator to account for an uncertainty of a carbohydrate estimate to reduce a risk of hypoglycemia and a risk of hyperglycemia. More specifically, methods and devices using an algorithm executed by a processor of the bolus calculator and using a carbohydrate estimate and a measure defining the uncertainty of the carbohydrate estimate to determine the probability of hypoglycemia and hyperglycemia if the carbohydrate estimate is an overestimate or an underestimate, and subsequently providing recommendations and alerts to a user.

Abstract: A device and method of providing instruction to a patient regarding the dosing of insulin is provided.

Abstract: The invention relates to a method and a device for predicting a glycaemic profile of a subject. A multistage algorithm is employed comprising a prediction setting stage specifying a functional space for the prediction and a prediction execution stage specifying a predicted future glycaemic state of the subject in the functional space as a continuous function of time.

Abstract: The present invention generally relates to compositions comprising anesthesia-reversing agents which facilitate or increase the time of awakening or reverse the effects of general anesthesia-induced unconsciousness. In some embodiments, the anesthesia reversing agent can be selected from any or a combination of methylphenidate (MPH), amphetamine, modafinil, amantadine, caffeine, or analogs or derivatives thereof. In some embodiments, compositions comprising at least one or more anesthesia-reversing agents can be used to facilitate awakening from anesthesia without or decreasing occurrence of delirium, and can be used in methods to treat or prevent the symptoms associated with emergence delirium, as well as treat a subject oversedated with general an esthesia. The invention also relates to methods for administering these compositions comprising anesthesia-reversing agents to subjects and for use.

Abstract: Methods and systems are disclosed for determining a basal rate adjustment of insulin based on risk associated with a glucose state of a person with diabetes. A method may include detecting a glucose state of the person based on a received glucose measurement signal and determining a current risk metric associated with the detected glucose state. The method may include determining a current risk metric associated with the detected glucose state based on a weighted average of cumulative hazard values of return paths generated from a glucose state distribution around a detected glucose state. The method may include calculating an adjustment to a basal rate of a therapy delivery device based on the current risk metric associated with the detected glucose state and a reference risk metric associated with a reference glucose level.

Abstract: Real-time and end point determination of antibiotic effects are disclosed herein. In one example, a surface of a label free biosensor is exposed to a sample including a gram-negative bacteria. A frequency and/or a current of the biosensor is then allowed to reach a constant value. The surface of the biosensor is then exposed to an antibiotic. Using the biosensor, i) a frequency change versus time and a damping resistance versus time, or ii) a current versus voltage or the current versus time at a fixed potential, or iii) both i and ii are then measured. The frequency change versus time and the damping resistance versus time and/or the current versus voltage or the current versus time are correlated to determine an effect of the antibiotic on the gram-negative bacteria. Examples of the label free biosensors and methods for detecting gram-negative bacteria using the label free biosensors are also disclosed.

Abstract: A system 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 in order to maintain the patient's future blood-glucose-level measurements within a predefined range.