Abstract: Herein is reported a multimeric fusion polypeptide comprising five monomeric fusion polypeptides each comprising at least a Fab fragment and a COMP-domain of SEQ ID NO: 01 or a functional fragment thereof.

Abstract: Provided herein are systems, methods, and computer program products using tumor phylogeny, mutation rates, and machine learning to produce a clinical projection, such as patient survival, risk of malignancy, and therapeutic options. The method includes generating sequence variation data that identifies, characterizes, or quantifies at least one mutation in tumor sequence data of a tumor of a patient. The method also includes generating a phylogenic tree depicting clonal evolution of cells in the tumor of the patient. The method further includes determining at least one feature of the phylogenic tree including at least one value quantifying rates of mutation and/or at least one value representing at least one aspect of a structure of the phylogenic tree. The method further includes training a machine learning model to be configured to generate a projection for the patient comprising a clinical outcome or disease progression.

Abstract: Provided is a polypeptide, a production method therefor and a use thereof. The polypeptide includes 63 to 1496 continuous amino acid residues of SEQ ID NO: 9, and includes a sequence represented by (A)m or is composed of the sequence represented by (A)m, wherein each A is an amino acid sequence selected from any one of those represented by SEQ ID NO: 1, SEQ ID NO: 2 and SEQ ID NO: 3, or a modified amino acid sequence or a sequence variant thereof; m is an integer between 1 and 10; and each A is the same or different and two adjacent As are directly connected by peptide bonds or connected by at least one amino acid residue, wherein the polypeptide has a cell adhesion activity, and a method of producing said polypeptide and use of said polypeptide.

Abstract: In one embodiment, a method for identifying candidate sequences for genotyping a genomic sample comprises obtaining a plurality of sequence reads mapping to a genomic region of interest. The plurality of sequence reads are assembled into a directed acyclic graph (DAG) comprising a plurality of branch sites representing variation present in the set of sequence reads, each branch site comprising two or more branches. A path through the DAG comprises a set of successive branches over two or more branch sites and represents a possible candidate sequence of the genomic sample. One or more paths through the DAG are ranked by calculating scores for one or more branch sites, wherein the calculated score comprises a number of sequence reads that span multiple branch sites in a given path. At least one path is selected as a candidate sequence based at least in part on its rank.

Abstract: Methods of diagnosing infections are disclosed. In one embodiment, the method comprises measuring the amount of each of the polypeptides TRAIL, CRP, IP10 and at least one additional polypeptide selected from the group consisting of IL-6 and PCT.

Abstract: The method includes compressing numbers of reads data for targeted genes of a gene expression assay performed on a test sample. The targeted genes are organized into categories. Each category represents a functional context associated with the targeted genes in that category. The numbers of reads corresponding to targeted genes each category is compressed to form a compressed value for the category. The compressed value is compared to a baseline value for the category to determine an enrichment or a loss of a signature corresponding to the functional context of the category. The method may include analyzing information from multiple assays performed on the test sample, assigning a score value to each assay result and predicting a response to immune-oncology treatment based on the assigned scores.

Abstract: The invention provides methods and system for making specific base calls at specific loci using a reference sequence construct, e.g., a directed acyclic graph (DAG) that represents known variants at each locus of the genome. Because the sequence reads are aligned to the DAG during alignment, the subsequent step of comparing a mutation, vis-a-vis the reference genome, to a table of known mutations can be eliminated. The disclosed methods and systems are notably efficient in dealing with structural variations within a genome or mutations that are within a structural variation.

Abstract: A scenario generation apparatus includes: a keyword selection unit that extracts a hierarchical structure from documents that is a basis of a scenarios for use in chatbot and has the hierarchical structure, and selects keywords from the headings in each layer of the extracted hierarchical structure, a link candidate generation unit that generates a first scenario candidate in which a link is set between the keywords and a second scenario candidate in which a link is not set between the keywords, by using documents, an evaluation value calculation unit that calculates an evaluation value for the link for each of the generated first scenario candidate and the second scenario candidate according to a setting rule, and a scenario generation unit that adopts one of the scenario candidates based on the calculated evaluation value and generates the scenario using the adopted scenario candidate.

Abstract: A method includes placing a sample of cells, tissue, or an organ into an oxygen imaging system, circulating a humidified gas mixture around the tissue or organ, circulating conditioned air through the oxygen imaging system to maintain a temperature around the sample, and acquiring a three-dimensional oxygen map of the sample. The oxygen map provides a quantitative measure of cell viability and functionality.

Abstract: Systems and methods for processing, transmitting and displaying data received from an analyte sensor, such as a glucose sensor, are disclosed. In an embodiment, a method for transmitting data between a first communication device associated with an analyte sensor and a second communication device configured to provide user access to sensor-related information comprises: activating a transceiver of a first communication device associated with an analyte sensor at a first time; and establishing a two-way communication channel with the second communication device; wherein the activating comprises waking the transceiver from a low power sleep mode using a forced wakeup from the second communication device.

Abstract: The present invention provides a method for evaluating a synthetic aptitude of a compound, a program for evaluating a synthetic aptitude of a compound, and a device for evaluating a synthetic aptitude of a compound, which evaluate a synthetic aptitude of a compound generated and/or modified on a computer.

Abstract: Disclosed are systems, devices and methods for estimating blood glucose parameters, including blood glucose concentration glucose sensor signals.

Abstract: Provided herein are compositions and methods for analyzing nucleic acids in a sample. Compositions include simple barcode sets having reduced DNA sequencing instrument-specific error rates. Methods include methods to deconvolute sequence reads from different samples.

Abstract: The invention involves a method for identifying a target protein. The invention involves receiving a request to identify a target protein based on a ligand; identifying, using the ligand, a first protein, where the ligand binds with the first protein to form a ligand-protein complex; generating, a first binding site profile for the first protein, where the first binding site profile describes molecular properties of the first protein; obtaining, from a controlled server, structure data describing molecular properties of surfaces for a multitude of proteins, where the multitude of proteins comprises the target protein; identifying, using the first binding site profile and the structure data, the target protein; and presenting the target protein to a user.

Abstract: Various embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for classifying unstructured data by: (i) generating probability scores of natural language classification labels for classifying unstructured data elements using an NLP-based model, (ii) generating probability scores of structured data classification labels for classifying the unstructured data elements using a classification-based model, and (iii) assigning classifications labels based on: a) the probability scores of the natural language classification labels if a distance measure difference associated with the natural language classification labels is greater than a predetermined distance, or b) a determination using an ensemble model if the distance measure difference is less than a predetermined distance.

Abstract: Disclosed are a processing method, a device, and a storage medium. The method includes the following operations: obtaining preset information; detecting whether the preset information meets a preset rule; when the preset information meets the preset rule, performing a corresponding device control operation according to a preset strategy, so as to transfer or migrate or duplicate or backup relevant data and/or control functions of the first control center, which can make the use of the first control center and other devices controlled by the first control center more intelligent, convenient and fast.

Abstract: Provided herein are affinity reagents having affinity for particular target, each reagent having a unique DNA barcode, and methods for using the same to measure the abundance of targets in a sample. In particular, methods are provided in which unique barcodes linked to affinity reagents are contacted to a sample to bind antigens if present in said sample. In cases in which the affinity reagents are antibodies and the targets are antigens, antibodies that are bound to their target antigens can be separated from unbound antibodies and the DNA barcode associated with the affinity reagent is amplified, such as with a PCR reaction. In some cases, amplified barcode DNA is subjected to DNA sequencing as a measure of the levels of the target protein in the sample.

Abstract: An analytics system creates a data structure counting strings of methylation vectors from a healthy control group. The analytics system enumerates possibilities of methylation state vectors given a sample fragment from a subject, and calculates probabilities for all possibilities with a Markov chain probability. The analytics system generates a p-value score for the subject's test methylation state vector by summing the calculated probabilities that are less than or equal to the calculated probability of the possibility matching the test methylation state vector. The analytics system determines the test methylation state vector to be anomalously methylated compared to the healthy control group if the p-value score is below a threshold score. With a number of such sample fragments, the analytics system can filter the sample fragments based on each p-value score. The analytics system can run a classification model on the filtered set to predict whether the subject has cancer.

Abstract: A system and method are disclosed for generating a teleconference space for two or more communication devices using a computer coupled with a database and comprising a processor and memory. The computer generates a teleconference space and transmits requests to join the teleconference space to the two or more communication devices. The computer stores in memory identification information for each of the two or more communication devices. Each of the two or more communication devices stores audiovisual data pertaining to one or more users associated with each of the two or more communication devices. Each communication device converts the audiovisual data into facial expressions data, generates emotions data from the facial expressions data, generates attention data from the emotions data, and transmits the attention data from the communication device to the computer. The computer displays the attention data.

Abstract: A laboratory system is disclosed. The laboratory system comprises a plurality of laboratories comprising one or more analytical instruments for performing a plurality of analytical tests (T1-n) and providing analytical test results (TR1-n) and a remote computer communicatively connected to the laboratories. Each of the laboratories is configured to define test result validation criteria (C1-n) for validating at least one of the analytical test results (TR1-n) associated with the respective analytical tests (T1-n) of one of the plurality of laboratories. The remote computer is configured to define a plurality of profiles (P1-n) of validation criteria, to assign the profiles (P1-n) of test result validation criteria (C1-n) to one or more of the laboratories (102), and to perform an automatic validation of groups (G1-n) of the analytical test results (TR1-n) according to the profiles (P1-n) of test result validation criteria (C1-n).

Abstract: Provided is an insole that can check the operation of a sensor and accurately and quickly connect with a user terminal, the user terminal and a pairing method thereof. The method for pairing an insole comprises scanning an insole, in which at least one pressure sensor and tactile element are installed, providing a vibration command to the scanned insole to vibrate a tactile element of the scanned insole, and pairing the insole including the vibrating tactile element and a user terminal.

Abstract: Methods, apparatuses, and systems for microorganism strain analysis of complex heterogeneous communities with tracer analytics, determination of functional relationships and interactions thereof, and synthesis of microbial ensembles, including dosed microbial ensembles and inoculative microbial ensembles, are disclosed.

Abstract: A method for a system and method for morphometric detection of malignancy associated change (MAC) is disclosed including the acts of obtaining a sample; imaging cells to produce 3D cell images for each cell; measuring a plurality of different structural biosignatures for each cell from its 3D cell image to produce feature data; analyzing the feature data by first using cancer case status as ground truth to supervise development of a classifier to test the degree to which the features discriminate between cells from normal or cancer patients; using the analyzed feature data to develop classifiers including, a first classifier to discriminate normal squamous cells from normal and cancer patients, a second classifier to discriminate normal macrophages from normal and cancer patients, and a third classifier to discriminate normal bronchial columnar cells from normal and cancer patients.

Abstract: Various examples are directed to systems and methods for measuring a parameter related to patient health. An analyte sensor system may detect that the analyte sensor system has been applied to a host and may store analyte data describing the host. The analyte sensor system may determine that sensor use at the analyte sensor system has terminated and upload stored analyte data to an upload computing device.

Abstract: Provided are a virus measuring method, a virus measuring device, a virus determining program, a stress determining method, and a stress determining device. A virus measuring method includes a contact step of bringing a liquid specimen containing a body fluid of a subject and an electrolytic solution into contact with each other via a through-hole portion formed in a separating wall, a current measuring step of applying a voltage to the liquid specimen and the electrolytic solution with respect to the through-hole portion and obtaining a waveform of an ionic current flowing through the through-hole portion, and a virus determining step of determining the kind of a virus contained in the body fluid on the basis of the waveform. In the virus determining step, the kind of the virus is determined by comparing the waveform with waveform information that corresponds to a known virus and is obtained beforehand.

Abstract: An automatic analysis apparatus of an embodiment includes a holder, a first dispenser, a second dispenser, a detector, a memory, and processing circuitry. The holder movably holds a plurality of reaction vessels. The first dispenser dispenses an analyte into each of the reaction vessels. The second dispenser dispenses a reagent into the reaction vessel. The detector detects light transmitted through the reaction vessel. The memory stores a test order. The processing circuitry controls the holder, the first dispenser, and the second dispenser based on the test order. The processing circuitry determines one of the reaction vessels to be used for measuring the analyte based on the test order, and performs control to collect characteristic data from another of the reaction vessels not used for measuring the analyte while the analyte is measured.

Abstract: A method for classifying human blastocysts includes obtaining images of a set of artificially fertilized (AF) embryos incubating in an incubator. A morphological quality of the AF embryos is determined based on a classification of the images by a convolutional neural network trained using images of pre-classified embryos. Each of the AF embryos is graded based on the morphological quality. A probability that a given graded AF embryo will result in a successful pregnancy after the given AF embryo is implanted in a gestating female is computed for each of the AF embryos from the set based on a grade of the given AF embryo and clinical parameters associated with the gestating female. One or more graded AF embryos to be recommended to be implanted in the gestating female from the set are selected based on the probability of successful pregnancy.

Abstract: Methods and systems for predicting the susceptibility of bacterial pathogens to antibiotics using genomic data sets. Various embodiments described herein receive a genomic dataset and a set of labels and run principal variance component analysis thereon to determine the effect sizes of the labels. One or more labels are then selected based on their effect sizes and used in a machine learning model to make predictions on future datasets.

Abstract: Techniques for probabilistic analysis of chemicals are provided. An indication of a proposed chemical composition is received. A predicted toxicity score is generated for the proposed chemical composition by performing probabilistic analysis on the proposed chemical composition. The probabilistic analysis includes identifying, based on a knowledge graph, at least one similar composition that is structurally similar to the proposed chemical composition. The analysis also includes identifying a set of chemical reactions that include the at least one similar composition, and determining one or more products of the identified set of chemical reactions. The probabilistic analysis further includes determining a toxicity of at least one of the one or more products. Finally, the predicted toxicity score is returned.

Abstract: A technique for clustering DNA reads from polynucleotide sequencing is described. DNA reads with a level of difference that is likely caused by errors in sequencing are grouped together in the same cluster. DNA reads that represent reads of different DNA molecules are placed in different clusters. The clusters are based on edit distance, which is the number of changes necessary to convert a given DNA read into another. The process of forming clusters may be performed iteratively and may use other types of distance that serve as an approximation for edit distance. Well clustered DNA reads provide a starting point for further analysis.

Abstract: Apparatus and methods are described including successively acquiring a plurality of microscopic images of a portion of a blood sample, and tracking motion of pixels within the successively acquired microscopic images. Trypomastigote parasite candidates within the blood sample are identified, by identifying pixel motion that is typical of trypomastigote parasites. It is determined that the blood sample is infected with trypomastigote parasites, at least partially in response thereto. An output is generated indicating that that the blood sample is infected with trypomastigote parasites. Other applications are also described.

Abstract: In one aspect, a computer-implemented automated flow synthesis platform configured to use an artificial intelligence (AI) engine is disclosed and includes a reaction chamber configured to synthesize a sequence, detectors configured to monitor the synthesis of the sequence in the reaction chamber, wherein the synthesis uses an automated flow process, and a computing device communicatively coupled to the detectors. The computing device receives measurements from the one or more detectors, wherein the measurements comprise a spectral profile at each coupling of each amino acid in the sequence, trains, using training data comprising the measurements, machine learning models to determine a synthesizing recipe that enables the sequence to be synthesized, wherein the synthesizing recipe comprises parameters used during the automated flow process to synthesize the sequence, and controls, using the synthesizing recipe, the synthesis of the sequence in the reaction chamber.

Abstract: An artificial intelligence system for behavioral pattern matching and language generation includes at least a server. The system includes a behavior modification module operating on the at least a server, wherein the behavior modification module is designed and configured to receive at least a request for a behavior modification and generate a behavior modification model as a function of the at least a request for behavior modification. The system includes an artificial intelligence advisor operating on the at least a server, wherein the artificial intelligence advisor is configured to receive at least a user input from a user client device, generate at least a textual output using the behavior modification model and the at least a user input, and transmit the at least a textual output to the user client device.

Abstract: A waveform segmentation device has a state level estimation unit that estimates a state level of input waveform data, and a segmentation identification unit that segments the waveform data at a plurality of segmentation points based on the state level estimated by the state level estimation unit. The segmentation identification unit may identify the plurality of segmentation points such that a feature value of the waveform data is included between two adjacent segmentation points among the segmentation points.

Abstract: A method for ranking analytes includes the steps of analyzing an experimental analyte in a mass spectrometer. The method includes comparing the experimental analyte to a plurality of candidate analytes in a library hit list, and assigning a cumulative confidence score to each candidate analyte based on the steps of comparing the experimental analyte to the candidate analytes based on a library similarity score, comparing the experimental analyte to the candidate analytes based on of a presence of the most abundant isotope of a molecular ion and its mass, comparing the experimental analyte to the candidate analytes based on an abundance of fragment ions and a mass of the fragment ions, and, in some implementations, comparing the experimental analyte to the candidate analytes based on a retention index value. The method includes ranking the candidate analytes based on the cumulative confidence score of each candidate analyte.

Abstract: A LIDAR sensing system includes a light source that is controlled to project a collimated beam at various wavelengths. An interferometer receives the collimated beam and projects an object beam corresponding to the collimated beam at a diffraction grating. The object beam is diffracted from the diffraction grating at different angles corresponding to the wavelength of the collimated beam, creating a two dimensional scan along a first axis. The object beam is also controlled along a second axis that is perpendicular to the first axis. As a result, the LIDAR sensing system generates a horizontal and vertical scan (e.g., a three-dimensional scan) of the external environment.

Abstract: A device for determining a heart rate of a user has a PPG sensor and an accelerometer to compensate for acceleration artifacts within the PPG signal. The device transforms time domain PPG and accelerometer signals into the frequency domain using a Fourier transformation and utilizes the Fourier coefficient magnitudes as indicative of the probability of candidate heart rate values. Candidate heart rate values are determined at sampling times over a time interval and a most probable heart rate path during the time interval is determined using a reward/penalty algorithm.

Abstract: Provided is a process, including: obtaining movement transactions without having server-side access to information by which the members of the population undergoing the changes in geolocation indicated by the movement transactions can be identified, either personally or pseudonymously; obtaining for movement transactions corresponding to a designated window of time, geographic-pathogen-risk scores of starting geolocations that include the starting geographic positions; updating for the movement transactions corresponding to the designated window of time, geographic-pathogen-risk scores of the ending geolocations based on both geographic-pathogen-risk scores of the starting geolocations involved in movement transactions ending at the ending geolocations and rates of traffic at the ending geolocations indicated by movement transactions ending or starting at the ending geolocations.

Abstract: A medicament preparation system includes a water purification module and a medicament proportioning module that is interoperable with a replaceable fluid circuit. The fluid circuit includes a purified water inlet, a product medicament outlet, and a plurality of pumping tube segments. At least a first concentrate container is connected by at least a portion of the fluid circuit to the product medicament output and a first concentration measurement sensor station is positioned in a flow path. A controller is programmed to calculate iteratively a concentration of a first concentrate from the first concentrate container and the purified water from a signal generated by the first concentration measurement sensor station and to regulate one or both of a first pumping actuator engaged with the first pumping tube segment and a second pumping actuator engaged with the second pumping tube segment, responsively to the concentration of the first concentrate and water.

Abstract: Methods for characterizing spillover spreading originating from a first fluorochrome in fluorescent flow cytometer data collected for a second fluorochrome are provided. In some embodiments, methods include partitioning the fluorescent flow cytometer data according to the intensity of the data relative to the first fluorochrome. In embodiments, methods also include estimating with a first linear regression a zero-adjusted standard deviation for the intensity of light collected from the second fluorochrome for each of the partitioned quantiles based on the assumption that the intensity of light collected from the first fluorochrome is zero, and obtaining with a second linear regression a spillover spreading coefficient from the zero-adjusted standard deviations. Systems and computer-readable media for characterizing spillover spreading originating from a first fluorochrome in fluorescent flow cytometer data collected for a second fluorochrome are also provided.

Abstract: Embodiments of a method and/or system (e.g., for improved single molecule sequencing, etc.) can include preparing a set of unique molecular identifier (UMI)-based molecules associated with a set of target nucleic acid sequences; facilitating generation of (e.g., generating, etc.) a set of tagged nucleic acid molecules based on the set of UMI-based molecules and a set of nucleic acid molecules corresponding to (e.g., including, etc.) the set of target nucleic acid sequences; and/or facilitating (e.g., performing, etc.) single molecule sequencing with the set of tagged nucleic acid molecules.

Abstract: Embodiments predict response to neoadjuvant chemotherapy (NAC) in breast cancer (BCa) from pre-treatment dynamic contrast enhanced magnetic resonance imaging (DCE-MRI).

Abstract: Disclosed herein are systems, methods and computer-program products to create synthetic immunohistochemistry (IHC) stained digital slides generated using artificial neural networks (ANNs). In some implementations, the created digital slides can be used as a ground truth to evaluate a method of analyzing IHC stained tissues.

Abstract: A cooked millet prolamin peptide for inhibiting ?-amylase and ?-glucosidase, an application thereof, and a screening method thereof are disclosed. The sequence of the peptide is selected from SEQ ID NOS: 1-6. The peptide provided in the present disclosure can effectively inhibit the activities of ?-glucosidase and ?-amylase simultaneously and is safe and non-toxic and has no side effects. Therefore, the peptide has a good potential and application prospect as a functional component in food, health products, and hypoglycemic drugs.

Abstract: There is a need for more effective and efficient predictive data analysis solutions for processing genetic sequencing data. This need can be addressed by, for example, techniques for performing predictive data analysis based on genetic sequences that utilize at least one of cross-variant polygenic risk modeling using genetic risk profiles, cross-variant polygenic risk modeling using functional genetic risk profiles, per-condition polygenic clustering operations, cross-condition polygenic predictive inferences, and cross-condition polygenic diagnoses.

Abstract: The present disclosure provides for recombinant oncolytic viruses with gene deletions or insertions which result in downregulation of Major Histocompatibility Complex class I and alternatively or additively upregulation of Major Histocompatibility Complex class II. Immunologic and pharmaceutical compositions comprising these recombinant viruses and methods of using these compositions are also presented.

Abstract: A method for detecting a tandem duplication in an FLT3 gene of a sample, includes mapping reads corresponding to targeted regions of exons of the FLT3 gene to a reference sequence. A partially mapped read includes a mapped portion, a soft-clipped portion and a breakpoint. Analyzing the partially mapped reads intersecting a column of the pileup includes detecting a duplication in the soft-clipped portion by comparing the soft-clipped portion to the mapped portion adjacent to the breakpoint; determining an insert size of the duplication in the soft-clipped portion; and assigning the partially mapped read to a category based on the insert size. Categories correspond to insert sizes. The categories are filtered and converted into features corresponding to the column. The features corresponding to one or more columns representing a same insert are merged to determine a location and size of a tandem duplication.

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: A first trend chart and a second trend chart are displayed along with a chromatogram. The first trend chart is generated based on a plurality of first representative value arrays obtained from a plurality of mass spectra. The second trend chart is generated based on a plurality of second representative value arrays obtained from the plurality of mass spectra. A mass spectrum stable period is determined based on the first trend chart and the second trend chart.

Abstract: Retrosynthetic methods are described for determining one or more optimal synthetic routes to generate a target compound.