Abstract: Provided herein are methods and systems of molecular profiling of diseases, such as cancer. In some embodiments, the molecular profiling can be used to identify treatments for a disease, such as treatments that were not initially identified as a treatment for the disease or not expected to be a treatment for a particular disease.

Abstract: The present disclosure relates to a laboratory execution system that provides for automation of laboratory processes. A centralized data management system may be dynamically updated and used to facilitate management of components of the laboratory execution system, such as an automation system and an analytics results management system that may facilitate complex analytical functions, such as synthesizing raw test data. Potential workflows include the detection of specific molecules of interest.

Abstract: A health and wellness system for a non-human subject comprising analyzing genetic data and phenotypic data of the non-human subject with a machine learning algorithm and making a recommendation or recommendation for products or activities for the non-human subject.

Abstract: A computer-implemented method can include: receiving input of a biological target; receiving a generative model (e.g., tensorial reinforcement learning (GENTRL) model or other model) trained with reference compounds, wherein the reference compounds include: general compounds, compounds that modulate the biological target, and compounds that modulate biomolecules other than the biological target; generating structures of generated compounds with the generative model; prioritizing structures of generated compounds based on at least one criteria; processing prioritized chemical structures of the generated compounds through a Sammon mapping protocol to obtain hit structures; and providing chemical structures of the hit structures.

Abstract: In an aspect, there is provided a method for diagnosing or prognosing a subject with cancer, the method comprising: providing cancer DNA sequencing data from a cancer sample comprising cancer DNA from the subject; comparing the cancer DNA sequencing data with control DNA sequencing data to determine genetic aberrations; determining, from the genetic aberrations, the clonal and subclonal populations present in the sample; constructing a phylogenetic map of the clonal and subclonal populations; assigning to the subject a risk level associated with a better or worse patient outcome or response to therapy; wherein a relatively higher risk level is associated with a higher level of evolution and number of subclonal populations and a relatively lower risk level is associated with a lower level of evolution and number of subclonal populations.

Abstract: Provided is an apparatus for managing a player with a guard including a sensor sensing a vital information of a player to calculate an injury risk of the player to thereby manage a condition of the player, the apparatus including: a communication unit receiving the vital information from the guard and transmitting the injury risk to the guard; a memory storing a program calculating the injury risk to manage the condition of the player; and a processor connected to the communication unit and the memory to execute an operation implemented by the program, in which the program may include instructions using the vital information and pre-stored vital recovering ability data of the player to calculate the injury risk of the player.

Abstract: A database processing system performs a first database access call accessing a first construct representing a differential component amount between a normal and different state. This identifies a plurality of components and, for each, a corresponding first association between (a) a change in amount of the respective component in a first plurality of first component datasets and a second plurality of second component datasets and (b) a change in state between the normal and different state. A second database access call accesses a second construct representing a measure of differential component amount between a native and exposed sample. The second construct identifies all or a portion of the plurality of components and, for each, a corresponding second association between a change of amount of the respective component between a third and fourth plurality of component datasets. The first associations and corresponding second associations determine whether the entity affects the transition.

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

Abstract: A method for simply predicting the degree of inflammation of periodontal tissue such as an inflamed area (PISA or CAPRS value), and a device (e.g., a DNA chip) used for the method are provided. The method is a method for estimating a periodontal pocket inflammation area by detecting bacterial loads of two or more types of bacteria in saliva and using the obtained detection results as indexes, wherein bacteria to be detected include: a bacterium having a positive correlation between the bacterial load of the bacterium and the periodontal pocket inflammation area and a bacterium having a negative correlation between the bacterial load of the bacterium and the periodontal pocket inflammation area.

Abstract: The present disclosure relates to a laboratory execution system that provides for automation of laboratory processes. A centralized data management system may be dynamically updated and used to facilitate management of components of the laboratory execution system, such as an automation system and an analytics results management system that may facilitate complex analytical functions, such as synthesizing raw test data. Potential workflows include the detection of specific molecules of interest.

Abstract: The invention relates to a method for predicting a value of a parameter of a system (20). The value of the parameter of the system (20) is predicted by incrementally optimizing a pharmacokinetic and pharmacodynamic model based on values of parameters of the system (20) received over time. This allows for predicting values of the parameters of the system (20) with improved accuracy. In one embodiment the system (20) comprises a coagulation system (21) comprising an anticoagulant. The predicted value of the parameter of the system (20) can be a point in time at which the coagulation system (21) reaches hemostatic balance after a periodic supply of anticoagulant to the coagulation system (21) is discontinued.

Abstract: Embodiments of this invention provide methods, systems, and apparatus for determining whether a fetal chromosomal aneuploidy exists from a biological sample obtained from a pregnant female. Nucleic acid molecules of the biological sample are sequenced, such that a fraction of the genome is sequenced. Respective amounts of a clinically-relevant chromosome and of background chromosomes are determined from results of the sequencing. The determination of the relative amounts may count sequences of only certain length. A parameter derived from these amounts (e.g. a ratio) is compared to one or more cutoff values, thereby determining a classification of whether a fetal chromosomal aneuploidy exists. Prior to sequencing, the biological sample may be enriched for DNA fragments of a particular sizes.

Abstract: Embodiments of this invention provide methods, systems, and apparatus for determining whether a fetal chromosomal aneuploidy exists from a biological sample obtained from a pregnant female. Nucleic acid molecules of the biological sample are sequenced, such that a fraction of the genome is sequenced. Respective amounts of a clinically-relevant chromosome and of background chromosomes are determined from results of the sequencing. The determination of the relative amounts may count sequences of only certain length. A parameter derived from these amounts (e.g. a ratio) is compared to one or more cutoff values, thereby determining a classification of whether a fetal chromosomal aneuploidy exists. Prior to sequencing, the biological sample may be enriched for DNA fragments of a particular sizes.

Abstract: Embodiments of this invention provide methods, systems, and apparatus for determining whether a fetal chromosomal aneuploidy exists from a biological sample obtained from a pregnant female. Nucleic acid molecules of the biological sample are sequenced, such that a fraction of the genome is sequenced. Respective amounts of a clinically-relevant chromosome and of background chromosomes are determined from results of the sequencing. The determination of the relative amounts may count sequences of only certain length. A parameter derived from these amounts (e.g. a ratio) is compared to one or more cutoff values, thereby determining a classification of whether a fetal chromosomal aneuploidy exists. Prior to sequencing, the biological sample may be enriched for DNA fragments of a particular sizes.

Abstract: A method for nucleic acid sequencing includes receiving a plurality of signals indicative of a parameter measured for a plurality of defined spaces, at least some of the defined spaces including one or more sample nucleic acids, the signals being responsive to a plurality of nucleotide flows introducing nucleotides to the defined spaces; determining, for at least some of the defined spaces, whether the defined space includes a sample nucleic acid; processing, for at least some of the defined spaces determined to include a sample nucleic acid, the received signals to improve a quality of the received signals; and predicting a plurality of nucleotide sequences corresponding to respective sample nucleic acids for the defined spaces based on the processed signals and the nucleotide flows.

Abstract: The present disclosure provides methods for determining a probability that after any of a number of therapeutic interventions, an initial state of a subject, such as somatic cell mutational status of a subject with cancer, will develop a subsequent state. Such probabilities can be used to inform a health care provider as to particular courses of treatment to maximize probability of a desired outcome for the subject.

Abstract: Methods are provided for assessing a cellular breast sample. Aspects of the methods include flow cytometrically obtaining sample data, cellular data, and combinations thereof, and then assessing the cellular breast sample based on the obtained data. In addition, compositions, e.g., kits, systems and programming, useful in practicing various embodiments of the methods are provided.

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: 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 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.