Abstract: Provided are a method and device for assessing a feasibility of one or more biochemical reactions in an organism. The method includes receiving an input representing the organism and input representing one or more biochemical reactions that are to be assessed; computing a reaction feasibility score for each of the one or more input biochemical reactions a knowledgebase; and selecting the biochemical reaction that is likely to occur in the organism.

Abstract: A force and/or motion measurement system is disclosed herein. The force and/or motion measurement system includes a motion capture device comprising at least one camera configured to detect a motion of a person, the at least one camera being mounted in a floor of a room or in a top component of a force measurement assembly; and at least one data processing device operatively coupled to the at least one camera of the motion capture device, the at least one data processing device configured to determine a position and/or movement of one or more limbs of the person based upon output data from the at least one camera of the motion capture device.

Abstract: The present invention belongs to the field of diagnosis of disease.

Abstract: Techniques for generating therapy biomarker scores and visualizing same. The techniques include determining, using a patient's sequence data and distributions of biomarker values across one or more reference populations, a first set of normalized scores for a first set of biomarkers associated with a first therapy, and a second set of normalized scores for a second set of biomarkers associated with a second therapy, generating a graphical user interface (GUI) including a first portion associated with the first therapy and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the first set of normalized scores; and a second portion associated with a second therapy and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the second set of normalized scores; and displaying the generated GUI.

Abstract: The present invention provides methods, systems, computer program products that use deep learning with neural networks to denoise ATAC-seq datasets. The methods, systems, and programs provide for increased efficiency, accuracy, and speed in identifying genomic sites of chromatin accessibility in a wide range of tissue and cell types.

Abstract: The present system is configured to display distributions of predicted health outcome information for patient populations in geographical areas. The system is configured to obtain demographic, social (e.g., including environmental), and prior health outcome information for a patient population in a geographical area. The system is configured to train a prediction model based on the demographic, social, and prior health outcome information, which outputs weighted features of the demographic and social information that are predictive of health outcomes for the patient population. The system is configured to cause display of a distribution of predicted health outcome information for the patient population in the geographical area based on the weighted features.

Abstract: The present disclosure provides for generation of predictions for a compound based on input data corresponding to the compound. A cell digital twin receives the input data corresponding to the compound and generates predictions based on the input data. The cell digital twin comprises a prediction engine including a model generated using reduced representations of known cell response profiles corresponding to tested compounds. The model is updated by a feedback loop between a validation engine of the cell digital twin and the model.

Abstract: A method for quantifying the sensibility of a test microorganism to a concentration of an antimicrobial agent includes: preparing two liquid samples including the microorganism, one having the antimicrobial agent and one without; for each sample acquiring, by a flow cytometer, a digital set values including a fluorescence, forward, or side scatter distribution, and computing: a first coordinate value corresponding to the acquired distribution main mode and an acquired distribution first area for values greater than the first coordinate value, and a second coordinate value, greater than the first, for which an acquired distribution second area between the values equals a first area predefined percentage over 50%; computing a ratio according to: Q = QT ? ( ATB ) - Mode ? ( ATB ) QT ? ( no ? ? ATB ) - Mode ? ( no ? ? ATB ) where Mode(ATB) and QT(ATB) are the first and second coordinate values with the antimicrobial agent concentration, and Mode(no ATB) and QT(no ATB) are r

Abstract: A bioinformatics process which provides an improved means to detect a JAK-STAT1/2 cellular signaling pathway in a subject, such as a human, based on the expression levels of at least three unique target genes of the JAK-STAT1/2 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 JAK-STAT1/2 cellular signaling pathway target genes.

Abstract: A method for global mapping between a first sequence Xp and a second sequence Xg.

Abstract: Disclosed herein are systems and methods for performing secondary analyses of nucleotide sequencing data in a time-efficient manner. Some embodiments include performing a secondary analysis iteratively while sequence reads are generated by a sequencing system. Secondary analyses can encompass both alignment of sequence reads to a reference sequence (e.g., the human reference genome sequence) and utilization of this alignment to detect differences between a sample and the reference. Secondary analysis can enable detection of genetic differences, variant detection and genotyping, identification of single nucleotide polymorphisms (SNPs), small insertions and deletion (indels) and structural changes in the DNA, such as copy number variants (CNVs) and chromosomal rearrangements.

Abstract: A computer system and method for sequencing deoxyribonucleic acid (DNA), to determine the order of the different nucleotides in a genomic sequence or sequence fragment. An alignment system employs a direct “brute force” Hamming distance calculation between a read sequence and a reference genome. The alignment system is configured to compare directly a set of DNA fragments to a reference genome in a short period, and with the higher probability of accuracy than similar comparison systems given the same number of clock cycles. Each DNA fragment is compared with a reference genome for the entire length of the latter using arrangements of memory cells for storing read sequences and inverse complements of the read sequences, shift registers for streaming the reference genome, and circuitry for calculating and summing the distance between the reference, the read sequence, and the inverse complement in parallel. Both digital and analog implementations are described.

Abstract: Methods and computer systems are described herein for identifying small molecules that bind to selected RNA structural features (e.g., to RNA secondary structures). Also described are compounds and compositions that modulate RNA function and/or activity.

Abstract: Exemplary methods for identifying hybrids for use in a plant breeding pipeline are disclosed. One exemplary computer-implemented method includes accessing a data structure including data representative of a pool of hybrids and determining a prediction score for at least a portion of the hybrids included in the pool based on the data included in the data structure. The prediction score is indicative of a probability of selection and/or a probability of success of the hybrid based on historical data. The method further includes selecting a group of hybrids from the pool based on the prediction score, identifying a set of hybrids, from the group of hybrids, based on an expected performance of the set of hybrids and/or one or more factors associated with the hybrids and/or lines making up the hybrids, and also directing the set of hybrids to a further iteration or different phase in the breeding pipeline.

Abstract: A method for obtaining a cycle of a physiological signal includes: a collection device for collecting a vibration signal of body movements; a processor for obtaining a physiological signal by processing the vibration signal; receiving a physiological signal value and a register value, comparing the physiological signal value with the register value, and reserving one of the physiological signal value and the register value; determining the physiological signal value having a corresponding time duration, reaching a given set time to be an extreme value, wherein the time duration is a time duration of the physiological signal value received is not exceeded; restarting the procedure and determining a next extreme value; obtaining the cycle of the physiological signal by processing the at least one extreme value; and displaying the cycle of the physiological signal in a display device.

Abstract: A computer implemented system and method facilitates a cycle of generation, sharing, and refinement of volumes related to stimulation of anatomical tissue, such as brain or spinal cord stimulation. Such volumes can include target stimulation volumes, side effect volumes, and volumes of estimated activation. A computer system and method also facilitates analysis of groups of volumes, including analysis of differences and/or commonalities between different groups of volumes.

Abstract: This disclosure relates generally to physiological monitoring, and more particularly to feature set optimization for classification of physiological signal. In one embodiment, a method for physiological monitoring includes identifying clean physiological signal training set from an input physiological signal based on a Dynamic Time Warping (DTW) of segments associated with the physiological signal. An optimal features set is extracted from a clean physiological signal training set based on a Maximum Consistency and Maximum Dominance (MCMD) property associated with the optimal feature set that strictly optimizes on the objective function, the conditional likelihood maximization over different selection criteria such that diverse properties of different selection parameters are captured and achieves Pareto-optimality. The input physiological signal is classified into normal signal components and abnormal signal components using the optimal features set.

Abstract: Methods for non-invasive prenatal paternity testing are disclosed herein. The method uses genetic measurements made on plasma taken from a pregnant mother, along with genetic measurements of the alleged father, and genetic measurements of the mother, to determine whether or not the alleged father is the biological father of the fetus. This is accomplished by way of an informatics based method that can compare the genetic fingerprint of the fetal DNA found in maternal plasma to the genetic fingerprint of the alleged father.

Abstract: In one aspect, a method is disclosed wherein an artificial intelligence (AI) enabled automated flow synthesis platform is configured to generate optimized synthesizing recipes which enable a sequence to be synthesized using an automated flow process. The method includes receiving a synthesizing recipe including parameters used during the automated flow process to synthesize the sequence, receiving spectral data from detectors monitoring the automated flow process in a reaction chamber, where the spectral data corresponds to a reaction point in the automated flow process, and determining, based on indicators associated with the spectral data, characteristics of a chemical reaction at the reaction point in the automated flow process. An artificial intelligence engine determines the chemical reaction. The method includes associating, based on the spectral data, the synthesizing recipe with the chemical reaction.

Abstract: The current invention reports a method for producing an antibody comprising the steps of a) providing a plurality of hybridoma cells each expressing an antibody, b) determining the time dependent amount of said antibody bound to the respective antigen by surface plasmon resonance at different temperatures and different antibody concentrations, c) calculating with the time dependent amount determined in b) based on equations (II) to (XIII) at least the thermodynamic parameters (i) standard association binding entropy (?S°‡ass), (ii) standard dissociation binding entropy (?S°‡diss), (iii) standard binding entropy (?S°), (iv) free standard binding enthalpy (?G°), (v) standard dissociation free binding enthalpy (?G°‡diss), (vi) standard association free binding enthalpy (?G°‡ass), (vii) ?T?S°, (viii) dissociation rate constant kd, (ix) equilibrium binding constant KD, and (x) association rate constant ka, d) selecting a hybridoma cell producing an antibody with at least two of the following: i) a standard associa