A method for at least one of characterizing, diagnosing, and treating an endocrine system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the endocrine system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the endocrine system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

The present invention relates to humanized antibodies that specifically bind to CXCR5 and can, for example, inhibit CXCR5 function. The invention also includes uses of the antibodies to treat or prevent CXCR5 related diseases or disorders.

A method for at least one of characterizing, diagnosing, and treating an endocrine system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the endocrine system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the endocrine system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

A method for at least one of characterizing, diagnosing, and treating an endocrine system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the endocrine system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the endocrine system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Techniques and systems are disclosed for enabling a simulation environment for experimental design. The interactions of a configuration of molecules inside a biological structure or system, such as a cell (e.g., a neuron) or virtual test tube, are modeled using message-based techniques to communicate between molecules proximal to one another in a virtual 3-D geometric space. Some techniques and systems allow distributed processing of the individual molecular interactions across a plurality of work nodes. Some techniques and systems allow the storage of detailed information about the current state of the simulation of the biological model for each discrete time slice. This enables the ability for a 4-D playback/review of any particular spatial or temporal focus area of the simulation.

A method of modeling a background signal when sequencing a polynucleotide strand using sequencing-by-synthesis includes: flowing a series of nucleotide flows onto a reactor array having multiple reaction confinement regions, one or more copies of the polynucleotide strand being located in a loaded reaction confinement region of the reactor array, the loaded reaction confinement region being located in a vicinity of one or more neighboring reaction confinement regions that may or may not be loaded; receiving output signals from the reactor array; and modeling a background signal for the loaded reaction confinement region using the received output signals and a model adapted to account at least for an exchange of ions between the one or more neighboring reaction confinement regions and a headspace adjacent the loaded reaction confinement region and the one or more neighboring reaction confinement regions.

The present invention provides improved systems, methods and software for determining a pathway activation strength in old subjects relative to young subjects of the same species, the method including collecting young subject transcriptome data and old subject transcriptome data for one species to evaluate pathway activation strength (PAS) and down-regulation strength for a plurality of biological pathways, mapping the plurality of biological pathways for the activation strength and down-regulation strength from old subject samples relative to young subject samples to form a pathway cloud map and providing a gero-protective rating for each of a plurality of drugs in accordance with a drug rating for minimizing signaling pathway cloud disturbance (SPCD) in the pathway cloud map of the one species to provide a ranking of the gero-protective drugs.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Aspects relate to calculating energy expenditure values from an apparatus configured to be worn on an appendage of a user. Steps counts may be quantified, such as by detecting arm swings peaks and bounce peaks in motion data. A search range of acceleration frequencies related to an expected activity may be established. Frequencies of acceleration data within a search range may be analyzed to identify one or more peaks, such as a bounce peak and an arm swing peak. Novel systems and methods may determine whether to utilize the arm swing data, bounce data, and/or other data or portions of data to quantify steps. The number of peaks (and types of peaks) may be used to choose a step frequency and step magnitude. At least a portion of the motion data may be classified into an activity category based upon the quantification of steps.