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: Systems, methods, and apparatus for determining whether a culture in a vessel contains a plurality of microorganisms are provided. A normalization relative value is calculated for each respective measurement of a biological state of the culture between (i) the respective measurement and (ii) an initial biological state. For each fixed interval of time points, a derivative of the normalization relative values in the interval of time points is calculated, thereby forming a plurality of rate transformation values. For each set of rate transformation values in the plurality of rate transformation values, a measure of central tendency of the values in the set is computed, thereby forming a plurality of average relative transformation values. A determination whether the culture contains the microorganisms is made based on whether any calculated average relative transformation value exceeds a first threshold or whether an extent of growth exhibited by the culture exceeds a second threshold.

Abstract: The purpose of the present invention is to provide: a method for evaluating various physical conditions accurately; a method for presenting information utilizing the aforementioned method; and a method of screening for a substance capable of improving or preventing physical conditions. A method for evaluating a physical condition of a subject comprises the steps of: determining the value of an abundance of a skin flora, which is collected from the surface of the skin of the subject, on the surface of the skin or the value of a parameter calculated on the basis of the abundance, wherein the reference values for the correlation between the abundance or the parameter with the physical condition has been produced; and then comparing the value with the reference values.

Abstract: The present invention relates to a cancer diagnostic apparatus for checking a cancer incidence by allowing an antibody (captured antibody), which reacts with an rpS3 (ribosomal protein S3; antigen) capable of checking a phenomenon of a cancer, to react with the rpS3, and performing concentration measurement after extracting an emission signal of the reacted antigen (rpS3), and a cancer diagnostic system using the cancer diagnostic apparatus. The cancer diagnostic system includes: the cancer diagnostic apparatus for irradiating an ultraviolet ray (UV) from a bottom of a bio-chip provided with an antibody reacting with an antigen (ribosomal protein S3; rpS3), making an image from a visible ray obtained from the ultraviolet ray, which is converted by the antigen and the antibody bound to each other while passing through the bio-chip, and extracting only a specific frequency color from the visible ray to generate cancer diagnosis information; and a user terminal.

Abstract: Devices, systems and methods for monitoring glycemic levels in a patient, by calculate a plurality of blood glucose values from a plurality of blood samples taken, calculating a quantile of the blood glucose values taken over a period of days; and creating a Lorenz plot for the blood glucose values in the quantile.

Abstract: Disclosed herein are methods, non-transitory computer readable media, systems, and kits for performing a multiple tiered analysis for identifying individuals with a health condition for monitoring, treating, and/or enrolling the individuals in a clinical trial. Specifically, the multiple tiered analysis involves a first screen, which eliminates a large proportion of individuals who are identified as not at risk for a health condition, and a subsequent second analysis which detects presence of a health condition in the remaining individuals. The second analysis includes an intra-individual analysis, which involves combining sequence information from target nucleic acids and reference nucleic acids obtained from the individual. The target nucleic acids include signatures that may be informative for determining presence or absence of the health condition and the reference nucleic acids include baseline biological signatures of the individual.

Abstract: The present disclosure relates to computer generated topographies from computer correlations of neurobehavioral phenotype mapping data and gene expression mapping data. Neurobehavioral phenotype mapping data is obtained for a selected phenotype and correlated with gene expression mapping data for one or more genes to define a phenotype-gene pair topography for each phenotype-gene pair. A score for each phenotype-gene pair is determined based on the correlation. The scores are used to identify genes, or drug targets, associated with the respective gene of the respective phenotype-gene pair. Conversely, gene expression mapping data is obtained for a selected gene and correlated with neurobehavioral phenotype mapping data for one or more phenotypes to define a gene-phenotype topography for each gene-phenotype pair. A score for each gene-phenotype pair is determined based on the correlation. The scores are used to identify a phenotype associated with the respective phenotype-gene pair.

Abstract: The method for estimating mental health and providing solution for mental health by learning psychological data and biological data based on machine learning includes: (a) acquiring, by mental health estimating device, psychological data for testing and biological data for testing of test subject from terminal of the test subject in state in which first estimated model is learned by referring to estimated mental health data for learning output from the first estimated model and ground truth mental health data corresponding to the estimated mental health data after psychological data for learning and biological data for learning of learning subjects are input to the first estimated model; and (b) inputting, by the mental health estimating device, the psychological data for testing and the biological data for testing to the first estimated model to allow the first estimated model to output estimated mental health data for testing.

Abstract: Methods for non-invasive assessment of genetic variations that make use of nucleic acid fragment length information, in particular length of fragments in circulating cell-free nucleic acids and compares the number of counts from fragments with different length.

Abstract: Processes and materials to detect cancer, transplant rejection, or fetal genetic abnormalities from a biopsy are described. In some cases, nucleic acid molecules, such as cell-free nucleic acids, can be sequenced, and the sequencing result can be utilized to detect sequences indicative of a neoplasm, transplant rejection, or fetal genetic abnormality. Detection of somatic variants occurring in phase and/or insertions and deletions (indels) can indicate the presence of cancer, transplant rejection, or fetal genetic abnormalities in a diagnostic scan, and a clinical intervention can be performed.

Abstract: A portable system is provided for measuring an analyte, such as acetone, in the breath or other bodily fluid of a user. The system includes a portable measurement device that analyzes fluid samples and generates corresponding measurements. The portable measurement device communicates with an application which runs on a smartphone or other mobile device of the user. The application tracks, and generates graphs of, the measurements, and may include various features for facilitating the analysis of the measurements.

Abstract: A bioinformatics process which provides an improved means to detect a MAPK-AP-1 cellular signaling pathway in a subject, such as a human, based on the expression levels of at least three unique target genes of the MAPK-AP-1 cellular signaling pathway measured in a sample. The invention includes an apparatus comprising a digital processor configured to perform such a method, a non-transitory storage medium storing instructions that are executable by a digital processing device to perform such a method, and a computer program comprising program code means for causing a digital processing device to perform such a method. Kits are also provided for measuring expression levels of unique sets of MAPK-AP-1 cellular signaling pathway target genes.

Abstract: Methods, compositions, and systems are provided for detecting one or more effects of antibiotic usage for an infectious disease or other health condition on the microbiome of an individual, monitoring such effects, and/or determining, displaying, or promoting a therapy for such an effect. Methods, compositions, and systems are also provided for generating and comparing microbiome composition and/or functional diversity datasets. Methods, compositions, and systems are also provided for generating a characterization model for antibiotic usage.

Abstract: The invention concerns wearable electronic devices, systems and methods for sports performance monitoring. In one embodiment, the invention provides a device comprising a heartbeat sensor for providing a heartbeat signal, a motion sensor for providing a motion signal and processing means adapted to calculate at least one performance parameter depicting said sports performance and/or the person using temporal characteristics of periodic features of the heartbeat signal compared with temporal characteristics of periodic features in the motion signal. The invention allows for utilization of an existing relation between cadence and heart rate for characterizing the performance or the person in a novel way.

Abstract: An acetone concentration estimate device acquires a measured acetone concentration measuring acetone excreted from a user, acquires an elapsed time which has elapsed since the user ate a meal, and estimates an acetone concentration, which is a ketone body concentration of when an amount of change in blood sugar level of the user per given unit of time is stable, based on the acquired current measured acetone concentration and on the acquired elapsed time, and outputs information corresponding to the estimated acetone concentration.

Abstract: Methods and systems for determining a dose of an analyte in an unknown sample on an instrument, such as a nucleic acid analyzer, immunoassay analyzer, or clinical chemistry analyzer using a reagent from a selected assay lot are described. The methods and systems use core dose-response information based on measurements of response values to a set of calibrators on a plurality of other instruments and assay lot-specific response information to calibrate the instrument.

Abstract: The invention provides methods for comparing one set of genetic sequences to another without discarding any information within either set. A set of genetic sequences is represented using a directed acyclic graph (DAG) avoiding any unwarranted reduction to a linear data structure. The invention provides a way to align one sequence DAG to another to produce an alignment that can itself be stored as a DAG. DAG-to-DAG alignment is a natural choice wherever a set of genomic information consisting of more than one string needs to be compared to any non-linear reference. For example, a subpopulation DAG could be compared to a population DAG in order to compare the genetic features of that subpopulation to those of the population.

Abstract: The method for estimating mental health and providing solution for mental health by learning psychological data and biological data based on machine learning includes: (a) acquiring, by mental health estimating device, psychological data for testing and biological data for testing of test subject from terminal of the test subject in state in which first estimated model is learned by referring to estimated mental health data for learning output from the first estimated model and ground truth mental health data corresponding to the estimated mental health data after psychological data for learning and biological data for learning of learning subjects are input to the first estimated model; and (b) inputting, by the mental health estimating device, the psychological data for testing and the biological data for testing to the first estimated model to allow the first estimated model to output estimated mental health data for testing.

Abstract: Disclosed are techniques for predicting a trait of an individual and identifying a set of enriched record collections of a genetic community. To predict a trait of an individual, DNA features and non-DNA features of the individual are accessed to generate a feature vector that is inputted into a machine learning model. The machine learning model generates a prediction of the trait. The prediction may be based on an inheritance prediction and/or a community prediction. To identify a set of enriched record collections, individuals belonging to a genetic community are identified and a set of candidate record collections are accessed. A community count and a background count is determined for each candidate record collection. The set of enriched record collections are identified based on a comparison of the community count and the background count. The genetic community may be annotated using the set of enriched record collections.

Abstract: Methods and compositions for treating cancer such as melanomas are disclosed.