Abstract: A wearable device may compress the skin of a user when worn, which may affect values determined using sensors of the device. To determine the effect of skin compression on the values, a time-of-flight signal, images, or frames of video data that depict a portion of the body having indentations from wearing the device may be acquired. Characteristics of the images, such as shadows associated with the indentations, may be processed using a machine learning algorithm or mathematical function to determine a depth of various portions of the indentations. Depth data from the time of flight signal may be used to refine or modify these determined depths. The amount of skin compression associated with the indentations may be used to modify signals acquired using sensors, or output a recommendation for a band or other method for securing the device.

Abstract: Provided herein are immunogenic compositions comprising tumor-specific neoantigen long peptides, tumor-specific neoantigen short peptides, and adjuvant, optionally a helper peptide, and optionally a tumor-specific peptide. The disclosure also provides methods of using these immunogenic compositions for treating cancer.

Abstract: Disclosed herein are methods for classifying a cell present in a sample. such as a tumor, of a subject. comprising: sequencing bulk DNA from first and second (e.g., tumor and healthy) a subject's tissue samples; classifying somatic variants as first or second sample alleles; sequencing RNA from the cell; aligning each RNA sequence with the bulk DNA; classifying each RNA sequence as a first, a second, or an unknown allele sequence, depending on whether it substantially aligns with the first, the second sample allele, or cannot be determined; and identifying the cell as a first, a second, or an unknown cell, based on the classifying of each of the plurality of RNA sequences. Methods can comprise validating identification by allelic frequency of germ-line variants in the RNA sequences. The methods provide improved characterization of heterogenous cell populations, such as cell populations contaminated with cells from different sources, or tumor populations.

Abstract: Disclosed herein is a method, comprising administering to a subject in need thereof an initial immunogenic composition comprising a plurality of tumor-specific neoantigens, each corresponding to a member of a first set of tumor-associated mutations in a subject, and none corresponding to a member of a second set of tumor-associated mutations in the subject; and quantifying each member of the first set of tumor-associated mutations and each member of the second set of tumor-associated mutations in circulating material comprising tumor-associated mutations isolated from the subject at each of multiple time points.

Abstract: Data about concentration of one or more types of molecules present within a human body are determined noninvasively using radio frequency (RF) signals. Signals at several different frequencies at very low power levels are emitted using an antenna mounted to a wearable device. Operating values, such as changes to the impedance of the antenna resulting from interaction between the RF signals and the user, are associated with the concentration of one or more types of molecules within the user. These changes in impedance may be relatively small. Circuitry in the device determines internal impedance of the circuitry, compensating for internal impedances and improving overall accuracy of the measured impedance resulting from interaction with the user.

Abstract: Disclosed herein are methods for evaluating the efficacy of an immunogenic composition by monitoring circulating tumor DNA. The disclosure also relates to methods for treating a subject having cancer.

Abstract: Techniques are described and relate to anisotropic pooling for contextual embedding of a protein sequence. In an example, a system receives a first biological sequence and determines a sequence arrangement that comprises a component of the first biological sequence and a second biological sequence of components. By using an artificial intelligence (AI) model, the system determines a third sequence that comprises a contextual embedding vector corresponding to the component of the first biological sequence. The AI model generates the third sequence based at least in part on the sequence arrangement and by at least using a convolution and anisotropic pooling.

Abstract: Data about concentration of one or more types of molecules present within a human body are determined noninvasively using radio frequency signals. Signals at several different frequencies at very low power levels are emitted using an antenna mounted to a wearable device. The antenna includes nested elements of different sizes. Operating values, such as changes to the impedance of the antenna, are associated with the concentration of one or more types molecules within the user. Concentrations at different depths may be measured by using different sets of the nested elements at different times. Operating values at those times are measured and used to determine information indicative of concentration of the molecules. During use, a long axis of the antenna may be aligned with a long axis of a user's arm.

Abstract: Disclosed herein are methods for selecting tumor-specific neoantigens from a tumor of a subject that are suitable for subject-specific immunogenic compositions.

Abstract: Described is a system and method that determines character sequences from speech, without determining the words of the speech, and processes the character sequences to determine sentiment data indicative of emotional state of a user that output the speech. The emotional state may then be presented or provided as an output to the user.

Abstract: Systems, devices, and methods are provided for detecting and correcting eating behavior. A device may receive audio data, determine that the audio data is indicative of consumption of a product by a user. The device may determine, based on the product, a measureable attribute associated with the user. The device may receive first data associated with the measureable attribute. The device may determine that the first data exceeds a threshold. The device may generate a message for presentation.

Abstract: Disclosed herein are methods for selecting one or more tumor-specific neoantigens from a tumor of a subject for a personalized immunogenic composition. Also disclosed herein are methods for treating cancer in a subject in need thereof by administering an immunogenic composition comprising tumor-specific neoantigens selected using the methods disclosed herein.

Abstract: Provided herein are immunogenic compositions comprising tumor-specific neoantigen long peptides, tumor-specific neoantigen short peptides, and adjuvant, optionally a helper peptide, and optionally a tumor-specific peptide. The disclosure also provides methods of using these immunogenic compositions for treating cancer.

Abstract: Disclosed herein are methods for ranking tumor-specific neoantigens from a tumor of a subject that are suitable for subject-specific immunogenic compositions. Suitable tumor-specific neoantigens are tumor-specific neoantigens that are likely presented on the cell surface of the tumor, are likely to be immunogenic, are predicted to be expressed in sufficient amounts to elicit an immune response in the subject, optionally represent sufficient diversity across the tumor, and have relatively high manufacture feasibility. The present methods take a set of neoantigens (peptide vaccine candidates) and ranks the neoantigens in a way such that a group of top-ranked neoantigens simultaneously promotes cell-surface presentation of important neoantigens for Class I and Class II MHC molecules. The top-ranked neoantigens can then be further narrowed according manufacturability and/or other criteria.

Abstract: Techniques for generating multiple-resolutions of time series data are described. An input irregular time series having a plurality of data points is obtained, each data point of the plurality of data points including a timestamp and a feature vector. Based on the input irregular time series, multiple variant time series are generated. A data point in one of the variant time series is based in part on a combination of at least two data points of the input irregular time series. The multiple variant time series can then be used for machine learning tasks such as training a machine learning model or using a machine learning model to infer an output.

Abstract: A thermoplastic polyurethane resin composition comprising: a thermoplastic polyurethane resin; an ultraviolet absorber package comprising a benzotriazole compound (UVA1), and a triazine compound (UVA2) wherein the mass ratio of UVA1 to UVA2 is from 1:1 to 3:1; optionally, a hindered amine light stabilizer and/or an antioxidant compound; and wherein the thermoplastic polyurethane resin composition has a maximum ultraviolet transmittance of ?3% in the wavelengths between 280 nm and 365 nm and an ultraviolet transmittance of ?6% in the wavelengths between 365 nm and 370 nm when the thermoplastic polyurethane resin is formed into a film having a thickness of 6 mils and wherein the cumulative weight % of UVA1 and UVA2 in the polyurethane resin composition ranges from 0.5 wt % to 0.85 wt % based on the total weight of the polyurethane resin composition.

Abstract: Techniques are described and relate to assigning peptides to peptide groups for vaccine development. In an example, a peptide property of a peptide is determined, where this peptide is from different peptides that are to be assigned to different groups of vaccine. A determination is also made that the peptide is to be assigned to a first group from the different groups based at least in part on the peptide property. The first group has a first group property that is based at least in part on peptide properties of first peptides to be assigned to the first group. The first group property is within a similarity range relative to a second group property of a second group from the different groups. Information is generated and indicates that the peptide is assigned to the first group.

Abstract: Comparisons between two nucleotide sequences can be performed by customized integrated circuitry that can implement a Smith Waterman analysis in series, as opposed to the parallel implementations known in the art. Series performance enables such customized integrated circuitry to take advantage of optimizations, including enveloping thresholds that demarcate between cells of a two-dimensional matrix for which nucleotide comparisons are to be performed, and cells of the two-dimensional matrix for which no such comparison need be performed, and, instead, a value of zero can simply be entered. Additionally, such customized integrated circuitry facilitates the combination of multiple control units, each directing the comparison of a unique pair of nucleotides, with a single calculation engine that can generate values for individual cells of the two-dimensional matrices by which such pairs of nucleotides are compared.

Abstract: Described are methods and systems for identifying phenotypic traits of an individual from nucleotide sequence data. The methods and systems are useful even when the identity of the individual or phenotypic traits of the individual is unknown.

Abstract: Comparisons between two nucleotide sequences can be performed by customized integrated circuitry that can implement a Smith Waterman analysis in a reduced memory footprint, storing and referencing only individual portions, or subsections, of a two-dimensional matrix that is representative of the comparison between the two nucleotide sequences. As the backtracking proceeds, backtracking metadata corresponding to a cell from a subsection that is not currently retained in memory can be required. Such a subsection can be regenerated from previously generated scores associated with checkpoint cells of the two-dimensional matrix that comprise two edges of the subsection being regenerated.