Abstract: The disclosure provides methods for improving the function of systems regimens, devices by identifying, quantifying, and implementing at least one inherent variability pattern which is based on patterns learned from a specific subject or from other subjects including subject's variability patterns, such as, DNA, genes, nucleic acids, RNA, proteins, cells, organs, biological pathway(s), or whole body variability. There are provided herein devices, systems, and methods for real time or delayed altering of the parameters of system's regimens, for improving biological systems functions. Any system used by humans, or affect human function, wherein the parameters are updated using inherent variabilities signatures with and without other individualized patterns from a subject or from other subjects, can increase the accuracy and efficacy of the system for achieving the desired goal.

Abstract: Aspects relate to an apparatus and methods for monitoring human trustworthiness. The apparatus includes at least an interface configured to facilitate telecommunication for a participant, a plurality of sensors configured to detect a plurality of signals from the participant, at least a computing device comprising at least a processor, and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive a plurality of signals from the plurality of sensors, generate a participant trustworthiness classifier as a function of a participant trustworthiness machine-learning algorithm, train the participant trustworthiness classifier using at least a training sample, wherein the at least a training sample correlates the plurality of signals to responses of known trustworthiness, and determine a participant trustworthiness as a function of the participant trustworthiness classifier.

Abstract: A method is disclosed for calculating and recalculating protein confidence values by recalculating peptide confidence values in proteomic analysis. A plurality of scans are performed of a sample that is proteolytically digested into surrogate peptide analytes. A plurality of spectra are obtained, and a plurality of peptides are identified. A protein database is searched for proteins matching peptides from the plurality of peptides. Peptide confidence values are determined for the set of peptides. A protein confidence value is calculated for each protein in the set of proteins. A protein from the set of proteins with a largest protein confidence value is selected, the largest protein confidence value for the protein is saved, the protein from the set of proteins is removed, and peptides corresponding to the protein is removed from the set of peptides. The protein confidence value is recalculated for each protein in the set of proteins.

Abstract: A blood analysis method, a blood analysis system, and a storage medium are provided. The blood analysis method includes: providing a blood sample; mixing a first aliquot of the blood sample with a diluent to prepare a first test sample; mixing a second aliquot of the blood sample with a lytic reagent to prepare a second test sample; detecting electrical impedance signals of the first test sample to obtain first volume distribution data; detecting at least two types of optical signals of the second test sample to obtain second volume distribution data; acquiring red blood cell test data of the blood sample; determining, based on the first volume distribution data, the second volume distribution data, and the red blood cell test data, whether the blood sample contains schistocytes; and if the determination result is yes, providing a warning that the blood sample may contain schistocytes.

Abstract: In a sample pretreatment device, a container storage section (2) holds multiple containers, including a first well plate having wells in an N×M matrix form and a second well plate having N elongated wells whose length corresponds to M wells in one row of the first well plate or M elongated wells whose length corresponds to N wells in one column of the first well plate. A dispensing section (3) includes: a platform (30) on winch containers can be placed; a pipette unit (311, 312) including an M-channel tip corresponding to M wells in one row of the first well plate or an N-channel tip corresponding to N wells in one column of the first well plate; and a pump unit (313) for suctioning/ejecting a liquid from/into a container on the platform through the pipette unit. A transfer section (4) transfers containers between the container storage section and the platform. A controller (5) controls operations of the dispensing section and the transfer section.

Abstract: A method for determining biomechanical parameters of the stride of a runner, using an accelerometer device on the wrist, on the upper arm, on the head or on the shoe, comprising the steps of measuring an initial sequence of acceleration data in at least the vertical direction using said accelerometer device; identifying in said initial sequence of acceleration data at least one frequency component caused by relative motion of the accelerometer device relative to the runner center of masse; attenuating said frequency component, so as to determine a modified sequence of acceleration data; determining said biomechanical parameters from said modified sequence of acceleration data.

Abstract: Methods for evaluating microsatellite instability (MSI) analyze nucleic acid sequence reads corresponding to a plurality of marker regions for MSI. The marker regions may include long homopolymers and/or short tandem repeats (STRs). For a target homopolymer, a histogram of homopolymer signal values is calculated based on flow space signal measurements for the homopolymer region in the sequence reads. A score per marker based on features of the histogram of homopolymer signal values is determined for each marker region corresponding to the target homopolymers. For a target STR, the method includes calculating a histogram of repeat lengths for sequence reads corresponding to the marker region of the target STR. A score per STR marker is calculated based on features of the histogram of repeat lengths. A plurality of per marker scores may be combined to form a total MSI score for the sample.

Abstract: A method of filtering a signal in a continuous analyte monitoring (CAM) system includes applying time-varying filtering to the signal using a time-varying filter to generate a filtered continuous analyte monitoring signal during an analyte monitoring period. Other methods, apparatus, continuous analyte monitoring devices, and continuous glucose monitoring devices are also disclosed.

Abstract: A method for performing automatic visual inspection includes: capturing visual information of an object using a scanning system including a plurality of cameras; extracting, by a computing system including a processor and memory, one or more feature maps from the visual information using one or more feature extractors; classifying, by the computing system, the object by supplying the one or more feature maps to a complex classifier to compute a classification of the object, the complex classifier including: a plurality of simple classifiers, each simple classifier of the plurality of simple classifiers being configured to compute outputs representing a characteristic of the object; and one or more logical operators configured to combine the outputs of the simple classifiers to compute the classification of the object; and outputting, by the computing system, the classification of the object as a result of the automatic visual inspection.

Abstract: The present invention relates to proteomics, and techniques for predicting of mass spectrometry data of chains of amino acids, such as peptides, proteins, or combinations thereof. Particularly, aspects of the present invention are directed to a computer implemented method that includes obtaining a digital representation of a peptide sequence, the digital representation including a plurality of container elements, each container element of the plurality of container elements representing an amino acid residue; encoding, using a bidirectional recurrent neural network of long short term memory cells, each container element as an encoded vector; and decoding, using a fully-connected network, each of the encoded vectors into a theoretical output spectrum. The theoretical output spectra are represented as a one-dimensional data set or a multi-dimensional data set including intensity values for each fragment ion including one or more of the amino acid residues in the theoretical output spectra.

Abstract: The present disclosure is directed to systems and methods for preparing nutrition, health, and/or wellness recommendations for an animal. The systems and methods involve collecting data from the animal, analyzing the data, and providing the nutrition, health, and/or wellness recommendation based upon the analyzed data.

Abstract: Techniques are disclosed for facilitating disabling an alarm in response to particular types of activity-indicative data. More specifically, activity-indicative data (e.g., sensor data or input(s) can be detected prior to a preset alarm time. Upon determining, based on the activity-indicative data, that a wakefulness condition is satisfied (e.g., that the activity-indicative data corresponds to one or more predefined characteristics), a disablement query can be displayed that includes an option to disable the alarm. In response to detecting a selection of the option, the alarm can be disabled such that the alarm stimuli is not to be presented at the preset alarm time.

Abstract: An apparatus for monitoring nutrition, especially fermentation in a rumen of a ruminant, is designed to be orally applied to the ruminant and to stay permanently in the rumen. The apparatus includes: a) at least one sensing unit for sensing a characteristic value of dissolved carbon dioxide in the liquor of rumen and/or reticulum; and b) at least one first communication unit for the wireless communication of data with a respective second communication unit outside the ruminant. The sensing unit includes at least one attenuated total reflectance (ATR) sensor.

Abstract: A real time assay monitoring system and method can be used to monitor reagent volume in assays for fluid replenishment control, monitor assays in real-time to obtain quality control information, monitor assays in real-time during development to detect saturation levels that can be used to shorten assay time, and provide assay results before the assay is complete, enabling reflex testing to begin automatically. The monitoring system can include a real time imaging system with a camera and lights to capture images of the assay. The captured images can then be used to monitor and control the quality of the staining process in an assay, provide early assay results, and/or to measure the on-site reagent volume within the assay.

Abstract: Technologies for monitoring beehives in an apiary includes one or more sensors communicatively coupled to a remote data analysis computing device, which is communicatively coupled to a client computing device. The sensors are configured to monitor beehives and/or the environment of the apiary and transmit the sensed data to the remote data analysis computing device. The remote data analysis computing device is configured to analyze the received sensor data, determine whether to perform an action as a function of a result of the analysis, and perform the function, as applicable. The client computing device is configured to interface with the remote data analysis computing device such that a user of the client computing device can view results of the data analysis and actions, as well as provide input and adjust settings administered by the remote data analysis computing device. A model for assessing beehive strength from an infrared image is also disclosed. Other embodiments are described herein.

Abstract: The technology disclosed corrects inter-cluster intensity profile variation for improved base calling on a cluster-by-cluster basis. The technology disclosed accesses current intensity data and historic intensity data of a target cluster, where the current intensity data is for a current sequencing cycle and the historic intensity data is for one or more preceding sequencing cycles. A first accumulated intensity correction parameter is determined by accumulating distribution intensities measured for the target cluster at the current and preceding sequencing cycles. A second accumulated intensity correction parameter is determined by accumulating intensity errors measured for the target cluster at the current and preceding sequencing cycles. Based on the first and second accumulated intensity correction parameters, next intensity data for a next sequencing cycle is corrected to generate corrected next intensity data, which is used to base call the target cluster at the next sequencing cycle.

Abstract: A method comprises retrieving a layout of a file on a storage device, wherein the layout identifies a plurality of locations on the storage device where a plurality of compressed blocks of data are stored. In the method, the plurality of compressed blocks of data are retrieved from the plurality of locations identified in the layout for transmission to and storage in a cloud storage platform.

Abstract: The present disclosure pertains to a method and system for determining the blood pressure dip of a subject based on features extracted from information generated by an on-body sensor system. The on-body sensor system includes a photoplethysmographic (PPG) sensor and a motion sensor. Blood pressure variation is captured throughout the day and utilized along with determinations of whether a subject is asleep or awake. The blood pressure determinations collected throughout the day, along with determinations of sleep periods, are used to determine a blood pressure dip for the day the on-body sensor system is worn.

Abstract: The present invention is directed to a novel method of determining inhibitors of proteolytically active coagulation factors, referred to herein as anticoagulants, in a sample, in particular the qualitative detection of direct thrombin and factor Xa inhibitors in a sample. The method of the present invention allows a qualitative determination of the nature anticoagulants present in a sample. This can be achieved with only one coagulation-based test. The method can be used in a test kit, including a point-of-care (POC) system.

Abstract: Methods and systems for CRISPR positive selection are described. CRISPR positive selection uses DNA sequencing to identify genes that their perturbation by CRISPR guide RNAs is correlated to the phenotype. In some aspects, disclosed are genome-wide CRISPR/Cas9 screening methods to identify genetic modifiers. Also disclosed are the apparatuses used for performing the methods.

Abstract: Provided herein are qPCR-based methods for quantitatively detecting and differentiating between live and dead pathogenic bacteria such as carbapenem-resistant Enterobacteriaceae (CRE). Also provided herein are simple, fast, and reliable genomic DNA extraction methods with improved efficiency.

Abstract: A policy creation unit creates a plurality of policies each including a predetermined number of rules in which a condition for determining a state of an object is combined with an action in the state. An action determination unit determines, for each of the plurality of created policies, an action to be performed while a state of the object is changed from a first state to a second state in accordance with the policy. A policy evaluation unit determines, in accordance with a difference between a state between the first state and the second state and a desired state, the quality of the determined action and determines, for each of the plurality of policies, the quality of the policy based on the determined quality of the action. A policy selection unit selects the policy that is determined to have a high quality.

Abstract: Performing file difference operations on quantum files in a state of superposition is disclosed herein. In one example, a quantum computing device accesses a first plurality of data values of a first plurality of qubits for a first quantum file, as well as a second plurality of data values of a second plurality of qubits for a second quantum file, wherein the first plurality of qubits and the second plurality of qubits are in a state of superposition. A plurality of read operations are performed on each qubit of the first plurality of qubits and the second plurality of qubits to determine a corresponding first plurality of data values and a second plurality of data values. A file difference operation is then performed using the first plurality of data values and the second plurality of data values, and a result is generated based on the file difference operation.

Abstract: Generally, methods of analyte monitoring management, and articles of manufacturing related thereto, are provided. The methods include receiving analyte measurement data and analyzing the analyte measurement data for health related parameters. Recommendations are determined for creating or modifying a treatment program based on the analysis, and provided within a user-interface that enables a user to create or modify the treatment program. Further, generally, methods of for managing analyte measurement data, and articles of manufacturing related thereto, are provided. The methods include receiving analyte measurement data that represent data collected over a time period, and analyzing the analyte measurement data for analyte episodes within that time period. Threshold based episodes and/or rate-of-change based episodes may be determined.

Abstract: One or more computing devices, systems, and/or methods for controlling an output device are provided. For example, features are extracted from data points of an object. A set of data points are identified from the data points based upon the set of data points having features corresponding to target features. Marker elements are assigned to the set of data points. A mapping structure is used to assign output indicators to the marker elements. The output device is controlled to provide output indicators assigned to marker elements as the marker elements become a current focus of the user navigation.

Abstract: The present disclosure relates generally to the processing of machine-readable visual encodings in view of contextual information. One embodiment of aspects of the present disclosure comprises obtaining image data descriptive of a scene that includes a machine-readable visual encoding; processing the image data with a first recognition system configured to recognize the machine-readable visual encoding; processing the image data with a second, different recognition system configured to recognize a surrounding portion of the scene that surrounds the machine-readable visual encoding; identifying a stored reference associated with the machine-readable visual encoding based at least in part on one or more first outputs generated by the first recognition system based on the image data and based at least in part on one or more second outputs generated by the second recognition system based on the image data; and performing one or more actions responsive to identification of the stored reference.

Abstract: A feature value generation device includes a generator configured to digitize non-numerical text data items collected at a plurality of timings from a target of anomaly detection, to generate vectors whose elements are feature values corresponding to the digitized data items; a learning unit configured to learn the vectors during a learning period so as to output a learning result; and a detector configured to detect, during a test period, for each of the vectors generated by the generator, an anomaly based on said each of the vectors and the learning result.

Abstract: In a method of measuring the amount of metaldehyde in water, a water sample of known volume is mixed with an isotopologue, a colorimetric dye and Raman-scattering nanoparticles. The water sample contains an analyte, for example metaldehyde. Optionally, the analyte may be treated to form a compound reactive with the dye. The amount of the analyte is measured by producing a Raman spectrum of the mixture and performing a ratiometric analysis of the Raman spectrum to quantify the analyte.

Abstract: An identification apparatus includes processing circuitry configured to determine whether or not a first image and a second image are similar based on feature points extracted from each of the first image and the second image, and determine whether or not the first image and the second image are similar by comparing neighborhood graphs generated for each of the first image and the second image, the feature points being as nodes.

Abstract: Disclosed herein are methods of inhibiting tumor growth or producing tumor regression in a subject having a drug-resistant estrogen receptor alpha positive cancer or a mutant estrogen receptor alpha positive cancer. The methods entail administering to the subject a therapeutically effective amount of RAD1901 having the structure: or a salt or solvate thereof.

Abstract: Described herein is the use of a visible near infrared (VNIR) hyperspectral imaging system as a non-invasive diagnostic tool for early detection of Alzheimer's disease (AD). Also described herein is the use of a VNIR hyperspectral imaging system in high throughput screening of potential therapeutics against AD.

Abstract: Nucleic acid sequence mapping/assembly methods are disclosed. The methods initially map only a contiguous portion of each read to a reference sequence and then extends the mapping of the read at both ends of the mapped contiguous portion until the entire read is mapped (aligned). In various embodiments, a mapping score can be calculated for the read alignment using a scoring function, score (i, j)=M+mx, where M can be the number of matches in the extended alignment, x can be the number of mismatches in the alignment, and m can be a negative penalty for each mismatch. The mapping score can be utilized to rank or choose the best alignment for each read.

Abstract: A method for analyzing samples utilizing stable label isotope tracing includes receiving mass spectrometry (MS) data generated by an MS system performing untargeted data acquisition on a plurality of samples, performing untargeted feature extraction on the unlabeled compound data to generate a data set of first extracted features, generating a plurality of empirical molecular formulas respectively corresponding to the first extracted features, performing targeted isotopologue extraction on the labeled compound data to generate a data set of second extracted features, wherein the targeted isotopologue extraction is based on the empirical molecular formula and retention time of each first extracted feature, and identifying one or more groups of isotopologues from the second extracted features.

Abstract: A video distribution server according to one embodiment of the present invention allows a distributor or viewers to be involved in giving rewards to other viewers, while encouraging viewers to continue viewing a live video. The server provides a live video distribution service for distributing and viewing live videos to users via user terminals. The server gives a predetermined reward to a viewer whose viewing duration of a live video provided by a distributor reaches the predetermined threshold, and the predetermined reward is given based on the attribute or action of the distributor or viewers. This may allow a distributor and viewers to be involved in giving rewards to other viewers, while encouraging viewers to continue viewing a live video.

Abstract: Systems and methods for integrating a continuous glucose sensor, including a receiver, a medicament delivery device, a controller module, and optionally a single point glucose monitor are provided. Integration may be manual, semi-automated and/or fully automated.

Abstract: Methods for analyzing omics data and using the omics data to determine prognosis of a cancer, to predict an outcome of a treatment, and/or to determine an effectiveness of a treatment are presented. In preferred methods, blood from a patient having a cancer or suspected to have a cancer is obtained and blood omics data for a plurality of cancer-related, inflammation-related, or DNA repair-related genes are obtained. A cancer score can be calculated based on the omics data, which then can be used to provide a cancer prognosis, a therapeutic recommendation, an effectiveness of a treatment.

Abstract: The present disclosure includes a method, apparatus and system for generating a neural network and a non-transitory computer readable storage medium storing instructions. The method comprises: recognizing at least an attribute of an object in a sample image according to a feature extracted from the sample image, using the neural network; determining a loss function value at least according to a margin value determined based on a semantic relationship between attributes, wherein the semantic relationship is obtained from a predefined table at least according to a real attribute and the recognized attribute of the object, wherein the predefined table is composed of the attributes and the semantic relationship between the attributes; updating a parameter in the neural network according to the determined loss function value. When using the neural network generated according the present disclosure, the accuracy of object attribute recognition can be improved.

Abstract: Systems and methods for identifying sequence information from measurements made on single nucleic acid molecules are disclosed. The systems and methods can include binding portions of nucleic acid molecules with marker molecules, such as fluorescent molecules and/or intercalating molecules. The marker molecules provide a detectable signal that includes information about the underlying genomic information of the location on the nucleic acid molecule where a given marker molecule is bound. A profile of the detectable signal along a position of the nucleic acid is acquired for multiple different nucleic acid molecules. The PRIMR algorithm processes the data to provide a consensus profile from which a consensus underlying genomic information can be determined.

Abstract: A system for generating a model for predicting a molecular property of a variant of a molecule is provided. For each of a plurality of variants of the molecule, the system for each structural feature, aggregates the values for the structural features of the residues of the molecule that were modified to form the variant to form a feature vector for the variant. The system assigns the value for the molecular property of the variant to the feature vector wherein the feature vector and the assigned value form training data. The system then generates the model for predicting a value for the molecular property using the training data for the plurality of variants.

Abstract: A source table organized into a set of micro-partitions is accessed by a network-based data warehouse. A pruning index is generated based on the source table. The pruning index comprises a set of filters that indicate locations of distinct values in each column of the source table. A query directed at the source table is received at the network-based data warehouse. The query is processed using the pruning index. The processing of the query comprises pruning the set of micro-partitions of the source table to scan for data matching the query, the pruning of the plurality of micro-partitions comprising identifying, using the pruning index, a sub-set of micro-partitions to scan for the data matching the query.

Abstract: A 3D calibration body for spatial calibration of an optical imaging system includes a transparent body and calibration marks embedded in a volume of the transparent body. At least some of the calibration marks are selectively activatable and deactivatable, wherein an activated calibration mark is visible in the visible spectral range and a deactivated calibration mark is not visible in the visible spectral range.

Abstract: There is provided an information processing apparatus including a reliability degree calculation section that calculates a reliability degree of pulsation variability data or a body index; and a control unit that controls various kinds of processing on the basis of the calculated reliability degree. The pulsation variability data is acquired from sensing data acquired by a pulse wave sensor worn by a user. The body index is calculated from the pulsation variability data and indicates a physical state of the user.

Abstract: The present invention relates generally to a species (analyte) separation and analysis system, for instance a spectrometry system, comprising a processor for receiving and processing signals from said its detector to remove undesirable variation or noise before further processing into a spectrum, whereby the processor is programmed by a novel program for a normalization preprocessing of the signals of said separation and analysis system.

Abstract: The present invention provides codon optimized Factor VIII sequences, vectors and host cells comprising codon optimized Factor VIII sequences, polypeptides encoded by codon optimized Factor VIII sequences, and methods of producing such polypeptides. The present invention also provides methods of treating bleeding disorders such as hemophilia comprising administering to the subject a codon optimized Factor VIII nucleic acid sequence or the polypeptide encoded thereby.

Abstract: A personal health system, method and device that maintains a health knowledge base, inputs user characteristics, generates health scores based on the user characteristics and provides recommendations based on the user characteristics, health scores and knowledge base, wherein the recommendations are indicated by the knowledge base to be likely to improve the user's health.

Abstract: An analyzer includes a separation data holding part, a determination criterion holding part, and a component peak determination part. The separation data holding part retains, as reference data, separation data obtained by an electrophoresis analysis for a reference sample including a reference component which is a known component and retains, as data to be analyzed, separation data obtained by an electrophoresis analysis for a sample to be analyzed. The determination criterion holding part retains a determination criterion for determining whether a component peak in the reference data and a component peak in the data to be analyzed are identical. The component peak determination part is configured to determine whether the component peak in the reference data and the component peak in the data to be analyzed are identical to each other, using the determination criterion.

Abstract: Disclosed herein are methods, compositions, and devices for use in the early detection of cancer. The methods include preparing cell-free nucleic acid molecules from a subject for sequencing, sequencing a panel of regions in the cell-free nucleic acid molecules, and detecting one or more markers that are indicative of a cancer.

Abstract: Systems and methods for a mobile electronic system that gathers and analyzes odors, airborne chemicals and/or compounds. The system includes a sample delivery component that can gather airborne substances and/or gaseous substances. A detection component can detect the presences of chemicals, substances, and/or visual gases in a sample. Analyzed samples can be compared with known substance and/or odor analysis. In addition, the source of the sample can be determined. Accordingly, odor, gas, and/or airborne substance identification can be accomplished.

Abstract: A machine learning predictor model is trained to generate a prediction of the appearance of a tissue sample stained with a special stain such as an IHC stain from an input image that is either unstained or stained with H&E. Training data takes the form of thousands of pairs of precisely aligned images, one of which is an image of a tissue specimen stained with H&E or unstained, and the other of which is an image of the tissue specimen stained with the special stain. The model can be trained to predict special stain images for a multitude of different tissue types and special stain types, in use, an input image, e.g., an H&E image of a given tissue specimen at a particular magnification level is provided to the model and the model generates a prediction of the appearance of the tissue specimen as if it were stained with the special stain. The predicted image is provided to a user and displayed, e.g., on a pathology workstation.

Abstract: The disclosed embodiments concern methods, apparatus, systems, and computer program products for storing and retrieving genetic data for individuals. In some implementations, a storage format is provided that allows genetic data to be defined by metadata for reproduce-ability.