Abstract: Described herein are compounds of Formula (I), Formula (I-A), and Formula (I-B), solvates thereof, tautomers thereof, and pharmaceutically acceptable salts of the foregoing, Further described herein are methods of inhibiting NLRP3 using said compounds, and methods of and compositions useful in treating NLRP3-dependent disorders.

Abstract: Chalcogen silane precursors are described. Methods for depositing a silicon nitride (SixNy) film on a substrate are described. The substrate is exposed to the chalcogen silane and a reactant to deposit the silicon nitride (SixNy) film. The exposures can be sequential or simultaneous. The chalcogen silane may be substantially free of halogen. The chalcogen may be selected from the group consisting of sulfur (S), selenium (Se), and tellurium (Te).

Abstract: A method includes detecting submission of a first quantum circuit for compilation, the first quantum circuit comprising a first set of quantum logic gates; generating a first gate index, the first gate index comprising an ordered table of a subset of the set of quantum logic gates, each quantum logic gate of the subset of quantum logic gates including a corresponding set of qubits acted on by the quantum logic gate; comparing the first gate index with a second gate index to determine a structural equality of the first quantum circuit and the second quantum circuit; and parameterizing, in response to determining a structural equality of the first quantum circuit and the second quantum circuit, a first set of parameters of a second set of quantum logic gates of the second quantum circuit with a second set of parameters of the first set of quantum logic gates.

Abstract: From a quantum program a first mutant is generated using a processor and a memory, where the first mutant is a randomly-generated transformation of the quantum program. A quality score, a correctness distance, and a probability of acceptance corresponding to the first mutant are computed. An acceptance corresponding to the first mutant is determined according to the probability of acceptance. Upon determining that an acceptance of the first mutant corresponding to the probability of acceptance exceeds an acceptance threshold, the quantum program is replaced with the first mutant. Upon determining that the quality score exceeds a storage threshold and that the correctness distance is zero, the first mutant is stored. These actions are iterated until reaching an iteration limit.

Abstract: Embodiments of the present invention are directed to a computer-implemented method for multiscale representation of input data. A non-limiting example of the computer-implemented method includes a processor receiving an original input. The processor downsamples the original input into a downscaled input. The processor runs a first convolutional neural network (“CNN”) on the downscaled input. The processor runs a second CNN on the original input, where the second CNN has fewer layers than the first CNN. The processor merges the output of the first CNN with the output of the second CNN and provides a result following the merging of the outputs.

Abstract: This disclosure provides systems and methods for sample processing and data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Some or all of a nucleic acid sample may be sequenced to provide sequence information, which may be stored or otherwise maintained in an electronic storage location. The sequence information may be analyzed with the aid of a computer processor, and the analyzed sequence information may be stored in an electronic storage location that may include a pool or collection of sequence information and analyzed sequence information generated from the nucleic acid sample. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample, for producing one or more libraries, and for producing biomedical reports. Methods and systems of the disclosure can aid in the diagnosis, monitoring, treatment, and prevention of one or more diseases and conditions.

Abstract: This disclosure provides systems and methods for sample processing and data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Some or all of a nucleic acid sample may be sequenced to provide sequence information, which may be stored or otherwise maintained in an electronic storage location. The sequence information may be analyzed with the aid of a computer processor, and the analyzed sequence information may be stored in an electronic storage location that may include a pool or collection of sequence information and analyzed sequence information generated from the nucleic acid sample. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample, for producing one or more libraries, and for producing biomedical reports. Methods and systems of the disclosure can aid in the diagnosis, monitoring, treatment, and prevention of one or more diseases and conditions.

Abstract: An electronic component package includes a substrate and an electronic component mounted to the substrate, the electronic component including a bond pad. A first antenna terminal is electrically connected to the bond pad, the first antenna terminal being electrically connected to a second antenna terminal of the substrate. A package body encloses the electronic component, the package body having a principal surface. An antenna is formed on the principal surface by applying an electrically conductive coating. An embedded interconnect extends through the package body between the substrate and the principal surface and electrically connects the second antenna terminal to the antenna. Applying an electrically conductive coating to form the antenna is relatively simple thus minimizing the overall package manufacturing cost. Further, the antenna is relatively thin thus minimizing the overall package size.

Abstract: The disclosure provides methods and systems for analyzing genotype data. In some embodiments, a computer-implemented method comprises receiving data relating to one or more phenotypes of a subject or family members thereof, and ranking genes based on their association score with one or more phenotypes. Next, an output of the data is generated, the output comprising a comparison of the data based on the association score. The comparison can be in at least one of numeric and graphic form.

Abstract: An example method of producing a microelectromechanical system (MEMS) package, the method comprising: applying first epoxy layers to a first substrate, at least one of the first epoxy layers coupled to a second substrate; applying a first post gel heat treatment to the first epoxy layers; after applying the first post gel heat treatment to the first epoxy layers, applying second epoxy layers to the second substrate and to the first epoxy layers; and applying a second post gel heat treatment to the first epoxy layers and the second epoxy layers.

Abstract: Provided herein are compositions, methods, and systems for sample processing and/or data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample from a human, non-human, and combinations thereof.

Abstract: The disclosure provides methods for predicting surface-presenting peptides using binding and surface-presentation characteristics. The method can include accessing a trained machine-learning model that is configured to generate an output that indicates an extent to which the one or more expression levels and the one or more peptide-presentation metrics are related in accordance with a population-level relationship between expression and presentation. For each peptide of the set of peptides for a tissue sample, a score can be determined using the machine-learning model and genomic and transcriptomic data corresponding to the peptide. The score is predictive of whether a corresponding peptide is a surface-presenting peptide that binds to an MHC molecule and is presented on a cell surface.

Abstract: The present disclosure provides methods and systems for personalized genetic testing of disease in a subject, in particular for identifying and tracking genetic mutations identified in an individual subject to monitor for cancer or for the spread or recurrence of the disease. In some embodiments, custom assays, including custom panels designed to target sequence data corresponding to both subject-specific loci and other loci known for cancer-causing or therapy resistance mutations, are designed based upon the sequencing of a screening biopsy sample. Such custom assays are then run on subsequently obtained tissue samples, such as tissue obtained from a surgical resection of a primary or metastatic tumor or from a lymph node biopsy. The subsequently obtained tissue samples can be taken from the subject at various time points after an initial screening biopsy to further allow for extended monitoring of the subject for spread or recurrence of the disease.

Abstract: This disclosure provides systems and methods for sample processing and data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Some or all of a nucleic acid sample may be sequenced to provide sequence information, which may be stored or otherwise maintained in an electronic storage location. The sequence information may be analyzed with the aid of a computer processor, and the analyzed sequence information may be stored in an electronic storage location that may include a pool or collection of sequence information and analyzed sequence information generated from the nucleic acid sample. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample, for producing one or more libraries, and for producing biomedical reports. Methods and systems of the disclosure can aid in the diagnosis, monitoring, treatment, and prevention of one or more diseases and conditions.

Abstract: This disclosure provides systems and methods for sample processing and data analysis. Sample processing may include nucleic acid sample processing and subsequent sequencing. Some or all of a nucleic acid sample may be sequenced to provide sequence information, which may be stored or otherwise maintained in an electronic storage location. The sequence information may be analyzed with the aid of a computer processor, and the analyzed sequence information may be stored in an electronic storage location that may include a pool or collection of sequence information and analyzed sequence information generated from the nucleic acid sample. Methods and systems of the present disclosure can be used, for example, for the analysis of a nucleic acid sample, for producing one or more libraries, and for producing biomedical reports. Methods and systems of the disclosure can aid in the diagnosis, monitoring, treatment, and prevention of one or more diseases and conditions.

Abstract: Methods for generating a composite biomarker that identifies a predicted level of responsiveness of a subject to a particular type of an immunotherapy treatment is provided. The method can include generating genomic metrics that represent one or more characteristics corresponding to one or more DNA sequences. The method can also include generating transcriptomic metrics represent one or more characteristics corresponding to a set of peptides that are translated from a corresponding RNA sequence of the one or more RNA sequences. The method can also include generating a composite biomarker score derived from the set of genomic metrics and the set of transcriptomic metrics. The method can also include determining, based on the composite biomarker score, a predicted level of responsiveness of the subject to a particular type of an immunotherapy treatment.

Abstract: A biodegradable polymer usable in fishing gear and that biodegrades in aquatic environments. The polymer includes a polymer backbone that has monomeric units that are susceptible to hydrolytic degradation, and a plurality of pH responsive moieties. Each pH responsive moiety is grafted to a respective one of the monomeric units. The pH responsive moieties are relatively hydrophilic when exposed to an aqueous solution of a pro-biodegradation pH range to facilitate hydrolytic degradation of the monomeric units, and are relatively hydrophobic when removed from the aqueous solution of the pro-biodegradation pH range, to protect the monomeric units from hydrolytic degradation.

Abstract: In one or more embodiments described herein, device, computer-implemented methods, and/or computer program products that facilitate automated survey results generation from an image are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an image capturing component that captures a first sample image. The computer executable components can further comprise an image processing component that processes the first sample image to determine a survey count, wherein the survey count indicates a number of times a survey image was identified in the first sample image. The computer executable components can further comprise an authentication component that adjusts the survey count based on detection of a discrepancy.

Abstract: A hybrid-distance adversarial patch generator can be trained to generate a hybrid adversarial patch effective at multiple distances. The hybrid patch can be inserted into multiple sample images, each depicting an object, to simulate inclusion of the hybrid patch at multiple distances. The multiple sample images can then be used to train an object detection model to detect the objects.