Abstract: Therapeutic compositions and an associated method for improving a Toll-like receptor (TLR)-related condition, including determining a set of peptide sequences associated with a microorganism-related modulator of a TLR, determining a first set of binding parameters for the set of peptide sequences in relation to the TLR, selecting a target subset of peptide sequences from the set of peptide sequences based on the first set of binding parameters, reengineering the target subset of peptide sequences based on mutating amino acid residues of the target subset of peptide sequences, determining a second set of binding parameters for the reengineered target subset of peptide sequences in relation to the TLR, and identifying a first peptide for use in a therapeutic composition for improving the TLR-related condition, based on the second set of binding parameters for the reengineered target subset of peptide sequences.

Abstract: An embodiment includes accessing captured video of a first physical object in a physical environment. The embodiment also includes detecting a feature of the first physical object in a first frame of the video. The embodiment encodes a first qubit with a first quantum state based on a first value of the feature of the first physical object, and then entangles the first qubit with a second qubit forming an entangled qubit pair. The embodiment detects a second quantum state of the second qubit of the entangled qubit pair and renders computer-generated content of a virtual environment that includes a computer-generated first virtual object that corresponds to the first physical object, where the rendering comprises determining a property of the first virtual object based on the detected second quantum state.

Abstract: An embodiment includes accessing captured video of a first physical object in a physical environment. The embodiment also includes detecting a feature of the first physical object in a first frame of the video. The embodiment encodes a first qubit with a first quantum state based on a first value of the feature of the first physical object, and then entangles the first qubit with a second qubit forming an entangled qubit pair. The embodiment detects a second quantum state of the second qubit of the entangled qubit pair and renders computer-generated content of a virtual environment that includes a computer-generated first virtual object that corresponds to the first physical object, where the rendering comprises determining a property of the first virtual object based on the detected second quantum state.

Abstract: An embodiment includes accessing captured video of a first physical object in a physical environment. The embodiment also includes detecting a feature of the first physical object in a first frame of the video. The embodiment encodes a first qubit with a first quantum state based on a first value of the feature of the first physical object, and then entangles the first qubit with a second qubit forming an entangled qubit pair. The embodiment detects a second quantum state of the second qubit of the entangled qubit pair and renders computer-generated content of a virtual environment that includes a computer-generated first virtual object that corresponds to the first physical object, where the rendering comprises determining a property of the first virtual object based on the detected second quantum state.

Abstract: Embodiments of the system and/or method can include and/or apply a magnetic device for facilitating a magnetic field for isolating the nucleic acid material from a sample, the magnetic device including a support component; and a set of magnetic pins attached to the support component and movable with at least three degrees of freedom when attached to the support component, where the set of magnetic pins provide adaptability to shapes of sample compartments of a sample container.

Abstract: Using a first trained residual neural network, an event analysis is generated from a set of event description encodings, an event description encoding in the set of event description encodings encoding a natural language description of an event, the event analysis comprising a first set of coordinates in an event space. Using a second trained residual neural network, the event analysis and a user description encoding, a personalization analysis is generated, the user description encoding a user interaction with the event, the personalization analysis comprising a component of a second set of coordinates in the event space. Using a combination of the event analysis and the personalization analysis, a first event component is activated, the first event component comprising a component of the event.

Abstract: Described herein is biological barcodes that can be associated with physical articles for use in functioning as a unique identifier.

Abstract: Embodiments of a method and system for improved microbiome sequencing can include: generating guide RNA complexes for a set of targets corresponding to a set of taxa associated with the microorganism-related condition; processing the biological sample with the gRNA complexes to generate microorganism nucleic acid fragments comprising a set of end regions associated with the set of targets; ligating the set of end regions with a set of adapters sharing an adapter sequence; and amplifying the set of targets based on the ligated set of end regions and a set of primers sharing a primer sequence associated with the adapter sequence.

Abstract: Embodiments of a method and/or system can include administering, to a patient with one or more conditions associated with at least one of TMA, TMAO, and/or derivatives thereof, a therapeutically effective amount of a compound for affecting inhibiting one or more CutC enzymes and/or CntA enzymes associated with microorganisms from at least one taxon from a set of microorganism taxa.

Abstract: A method for characterizing compatibility of a drug for a user includes collecting a set of samples from a set of individuals comprising a set of first individuals who respond to a therapy for a microbiome-related condition and a set of second individuals who do not respond to the therapy for the microbiome-related condition and determining one or more datasets based on the set of samples. A set of microbiome features is extracted from the one or more microbiome datasets, the microbiome features facilitating differentiation between individuals who respond and individuals who do not respond to the therapy. A companion diagnostics model is determined based on the set of microbiome features. The compatibility of the drug for the user is then determined using the companion diagnostics model.

Abstract: Embodiments of a method and/or system can include administering, to a patient with one or more conditions associated with at least one of TMA, TMAO, and/or derivatives thereof, a therapeutically effective amount of a compound for affecting inhibiting one or more CutC enzymes and/or CntA enzymes associated with microorganisms from at least one taxon from a set of microorganism taxa.

Abstract: An audio forecasting algorithm that is adjusted (or trained), by machine learning, prior to a sports contest that will be broadcast. The audio forecasting algorithm is then used to position a set of mobile microphones on an ongoing basis during the sports contest. In some embodiments, a band forecasting algorithm is used in the audio forecasting algorithm. In some embodiments, a swarm based correlation algorithm is used in the audio forecasting algorithm.

Abstract: An audio forecasting algorithm that is adjusted (or trained), by machine learning, prior to a sports contest that will be broadcast. The audio forecasting algorithm is then used to position a set of mobile microphones on an ongoing basis during the sports contest. In some embodiments, a band forecasting algorithm is used in the audio forecasting algorithm. In some embodiments, a swarm based correlation algorithm is used in the audio forecasting algorithm.

Abstract: Embodiments of the system and/or method can include and/or apply a magnetic device for facilitating a magnetic field for isolating the nucleic acid material from a sample, the magnetic device including a support component; and a set of magnetic pins attached to the support component and movable with at least three degrees of freedom when attached to the support component, where the set of magnetic pins provide adaptability to shapes of sample compartments of a sample container.

Abstract: Embodiments of a method and/or system (e.g., for improved single molecule sequencing, etc.) can include preparing a set of unique molecular identifier (UMI)-based molecules associated with a set of target nucleic acid sequences; facilitating generation of (e.g., generating, etc.) a set of tagged nucleic acid molecules based on the set of UMI-based molecules and a set of nucleic acid molecules corresponding to (e.g., including, etc.) the set of target nucleic acid sequences; and/or facilitating (e.g., performing, etc.) single molecule sequencing with the set of tagged nucleic acid molecules.

Abstract: Embodiments of a method and/or system, such as for preparation of a normalized library for sequencing such as next-generation sequencing, can include one or more of: generating one or more normalized amplicon libraries; generating one or more normalized microbial community-associated libraries; and/or generating one or more normalized combined sequence libraries associated with amplicon-associated sequencing and microbial community-associated sequencing.

Abstract: Embodiments of a method 100 and/or system 200 or library preparation for sequencing associated with microorganisms can include: preparing a set of unique molecular identifier (UMI)-based molecules associated with one or more targets; preparing a set of sequencing-based primers; generating a set of tagged target molecules based on the set of UMI-based molecules and one or more samples associated with the one or more targets; and/or generating a set of sequencing-ready tagged target molecules based on the tagged target molecules and the set of sequencing-based primers.

Abstract: Embodiments of a method and/or system for characterizing an allergy-related condition for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more allergy-related conditions for the set of users; and performing an allergy-related characterization process for the one or more allergy-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and/or system for characterizing a microorganism-related condition (e.g., human behavior condition, disease-related condition, etc.) for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more microorganism-related conditions for the set of users; and performing a microorganism-related characterization (e.g., human behavior characterization, disease-related characterization, etc.) process for the one or more microorganism-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and/or system for characterizing a diet-related condition for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more diet-related conditions for the set of users; and performing a diet-related characterization process for the one or more diet-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.