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: A method of treating a patient with multiple drugs using adjusted phenotypes of CYP450 enzymes to assess the risk of adverse drug reactions occurring due to drug-enzyme interactions. CYP450 enzyme genotypes and phenotypes are measured in a patient. The phenotypes are scored numerically. The drugs intended for treatment are scored numerically for their ability to induce or inhibit the CYP450 enzymes. The drug scores are used to adjust the CYP450 phenotype scores relative to inducing or inhibiting the enzymes. An accurate adjusted phenotype score for a given CYP450 enzyme is converted to an accurate adjusted phenotype. Any of the intended drugs for treatment that are substrates for the given CYP450 enzyme can be evaluated for risk of an adverse drug reaction based on the adjusted phenotype. This method of rapid risk assessment provides an accurate basis for decisions regarding changes in dose, eliminating a drug, or replacing a drug.

Abstract: A computer-implemented system for identifying a patient for a trial may include at least one processor. The at least one processor may be programmed to receive an indication of a selected trial, the selected trial being associated with a testing status criterion; access a plurality of patient records associated with a patient of a plurality of patients; determine, using a machine learning model and based on unstructured information from one at least one of the patient records, a likelihood of an occurrence of genomic testing for the patient; determine a genomic testing status of the patient based on the determined likelihood of the occurrence of genomic testing; determine that the genomic testing status satisfies the testing status criterion; and include the patient in a subset of the plurality of patients based on the genomic testing status satisfying the testing status criterion.

Abstract: An electric reaction measuring apparatus measures a potential of each of measurement electrodes, which are respectively disposed in chambers in a culture vessel, with respect to at least one reference electrode. The electric reaction measuring apparatus includes at least one control circuit. A measurement object is disposed in each of the chambers. The at least one control circuit calculates at least one principal component for each of the measurement electrodes by performing principal component analysis of the potential of each of the measurement electrodes; estimates, for each of the measurement electrodes, a potential corresponding to the principal component from the principal component of the measurement electrode, and synthesizes the estimated potential; subtracts the synthesized potential of the measurement electrode from a potential measured at the measurement electrode; and outputs a potential after subtraction.

Abstract: Disclosed are systems and methods for generating graphical displays of analyte data and/or health information. In some implementations, the graphical displays are generating based on a self-referential dataset that are modifiable based on identified portions of the data. The modified graphical displays can indicate features in the analyte data of a host.

Abstract: Provided are a quality control method, a quality control system, a management apparatus, an analyzer, and a quality control abnormality determination method in which measurement results of both a quality control substance and a specimen are sufficiently utilized to improve the quality of quality control. The quality control method used in a management apparatus which is connected via a network to an analyzer installed in each of a plurality of facilities includes obtaining, from an analyzer in each facility via a network, first quality control information obtained by measuring an artificially generated quality control substance, and second quality control information obtained by measuring a plurality of specimens by the analyzer in each facility; and outputting information concerning quality control of an analyzer in at least one facility, based on the obtained first quality control information and second quality control information.

Abstract: Systems and methods for determining a cancer class of a subject are provided in which a plurality of sequence reads, in electronic form, are obtained from a biological sample of the subject. The sample comprises a plurality of cell-free DNA molecules including respective DNA molecules longer than a threshold length of less than 160 nucleotides. The plurality of sequence reads excludes sequence reads of cell-free DNA molecules in the plurality of cell-free DNA molecules longer than the threshold length. The plurality of sequence reads is used to identify a relative copy number at each respective genomic location in a plurality of genomic locations in the genome of the subject. The genetic information about the subject obtained from the sample and the genetic information consisting of the identification of the relative copy number at each respective genomic location, is applied to a classifier that determines the cancer class of the subject.

Abstract: A platform providing methods and systems for prevention and/or treatment of a health condition, where a method can include: simultaneously reducing severity symptoms of the health condition and comorbid conditions upon: receiving a set of samples from one or more subjects; receiving a biometric dataset from one or more subjects; receiving a lifestyle dataset from one or more subjects; returning a genomic single nucleotide polymorphism (SNP) profile and a baseline microbiome state upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations; generating personalized intervention plans for the one or more subjects upon processing the genomic SNP profile and the baseline microbiome state with a multi-omic model; and executing the personalized intervention plans for the one or more subjects.

Abstract: A method of identifying a subject in need of therapeutic intervention to treat a disease or condi-tion or disease recurrence or disease progression comprising, isolating isomiRs or miRNAs from a sample obtained from the subject; and characterizing the isomiRs or miRNAs and their presence or absence in the sample to identify a signature, wherein when the signature is indicative of a di-agnosis of the disease then treatment of the subject is recommended.

Abstract: Methods of selecting a therapeutic agent to treat a cancer in a subject comprising receiving a plurality of protein data element values representing levels of the proteins in a biological sample from the subject, classifying each protein as a member of a process class, for each process class calculating a process score that represents the prominence of the process class to cancer treatment resistance and selecting at least one therapeutic agent that targets a selected process based on the process score. Systems for selecting a therapeutic agent are also provided.

Abstract: Systems and methods for classifier training are provided. A first dataset is obtained that comprises, for each first subject, a corresponding plurality of bin values, each for a bin in a plurality of bins, and subject cancer condition. A feature extraction technique is applied to the first dataset thereby obtaining feature extraction functions, each of which is an independent linear or nonlinear function of bin values of the bins. A second dataset is obtained comprising, for each second subject, a corresponding plurality of bin values, each for a bin in the plurality of bins and subject cancer condition. The plurality of bin values of each corresponding subject in the second plurality are projected onto the respective feature extraction functions, thereby forming a transformed second dataset comprising feature values for each subject. The transformed second dataset and subject cancer condition serves to train a classifier on the cancer condition set.

Abstract: The present disclosure provides methods for accurately predicting the dynamics of symptom response to drugs or other interventions for the treatment of major depressive disorder or other psychological conditions. These methods can allow for a shortening of the time period necessary for the evaluation of a drug or other therapeutic intervention. These predictive methods are based on measured and/or self-reported symptom severity measures at two or more points in time. These measures are then discretized into symptom classes (e.g., low, moderate, severe) and the symptom classes are then applied to the predictive model to predict the progression of symptoms and/or the effectiveness of a drug or other therapeutic intervention.

Abstract: The present invention relates to differentiating signals of interest for target nucleic acid sequences. The present invention permits to obtain an individual signal value (i.e., variable) contained in a total signal detected at detection temperatures by using mathematical equations. The present invention based on equation-solving approach enables to obtain the individual signal value in a systematical manner, thereby providing analysis results in much more accurate and convenient manner.

Abstract: Aspects of the present disclosure include systems for use in preparing a labelled biomolecule reagent. Systems according to certain embodiments include an input manager for receiving a request for a labelled biomolecule reagent, a memory for storing a dataset having a plurality of labelled biomolecule reagent storage identifiers, a processing module communicatively coupled to the memory and configured to identify one or more labelled biomolecule reagent storage identifiers from the dataset that corresponds to the labelled biomolecule reagent request and an output manager for providing the one or more identified labelled biomolecule reagent storage identifiers. A reagent preparatory apparatus for preparing the labelled biomolecule reagent from an activated biomolecule and activated label is also described. Methods for communicating and receiving a labelled biomolecule reagent request and preparing the subject labelled biomolecule reagents are also provided.

Abstract: A system, methods, and computer-readable media are provided for the automatic identification of patients having an elevated near-term risk of pulmonary function deterioration or respiratory distress. Embodiments of the invention are directed to event prediction, risk stratification, and optimization of the assessment, communication, and decision-making to prevent respiratory events in humans, and in one embodiment take the form of a platform for wearable, mobile, untethered monitoring devices with embedded decision support. Respiratory information is obtained over one or a plurality of previous time intervals, to classify a likelihood of events leading to an acute respiratory decompensation event within a future time interval. In an embodiment, the risk prediction is based a plurality of nonlinearity measures of capnometry information over the previous time interval(s), and the risk for an acute respiratory decompensation event determined using an ensemble model predictor on the nonlinearity measures.

Abstract: Methods, compositions, and systems are provided for characterization of modified nucleic acids. In certain preferred embodiments, single molecule sequencing methods are provided for identification of modified nucleotides within nucleic acid sequences. Modifications detectable by the methods provided herein include chemically modified bases, enzymatically modified bases, abasic sites, non-natural bases, secondary structures, and agents bound to a template nucleic acid.

Abstract: A digital store comprising of a method to store digital data in live micro-organisms, and a method to selectively retrieve subsets of stored data, is disclosed. Digital data is represented as a plurality of key-value pairs. The proposed system stores copies of key-value pairs in a plurality of live micro-organisms. Upon presentation of a retrieval key, the proposed digital store retrieves the value associated with the retrieval key.

Abstract: A system, method and apparatus for executing a bioinformatics analysis on genetic sequence data includes an integrated circuit formed of a set of hardwired digital logic circuits that are interconnected by physical electrical interconnects. One of the physical electrical interconnects forms an input to the integrated circuit that may be connected with an electronic data source for receiving reads of genomic data. The hardwired digital logic circuits may be arranged as a set of processing engines, each processing engine being formed of a subset of the hardwired digital logic circuits to perform one or more steps in the bioinformatics analysis on the reads of genomic data. Each subset of the hardwired digital logic circuits may be formed in a wired configuration to perform the one or more steps in the bioinformatics analysis.

Abstract: The present invention relates to optimization logic for preparing an optimal introduction of degenerate bases and/or universal bases into an oligonucleotide used to detect a plurality of target nucleic acid sequences, in a completely different approach from conventional methods, i.e., empirical and manual methods. In addition, the optimization logic of the present invention may be used in (i) the preparation of an oligonucleotide into which a limited number of degenerate bases and/or universal bases are introduced for detecting a plurality of target nucleic acid sequences with a maximum target coverage, and (ii) the determination of a probing region in a plurality of target nucleic acid sequences.

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, and the application reports measurement data to a remote system.