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.

Embodiments are provided for digital dental modeling. One method embodiment includes receiving a three-dimensional data set including a first jaw and a second jaw of a three-dimensional digital dental model and receiving a two-dimensional data set corresponding to at least a portion of the first jaw and the second jaw. The method includes mapping two-dimensional data of the two-dimensional data set to the three-dimensional digital dental model by transforming a coordinate system of the two-dimensional data to a coordinate system of the three-dimensional data set. The method includes positioning the first jaw with respect to the second jaw based on the two-dimensional data mapped to the three-dimensional data set. The method includes using at least a portion of the two-dimensional data mapped to the three-dimensional data set as a target of movement of the first jaw with respect to the second jaw in the three-dimensional digital dental model.

A server, which is in communication with a plurality of client computing devices configured to perform a reduced simulation function, comprises a synchronization engine configured to generate synchronization packets for one or more rigid bodies according to a synchronization scheme and, for each rigid body, to dynamically update the synchronization scheme based on a current state of the rigid body in simulation data and stored states for the rigid body which are stored in a buffer. The synchronization packets are then transmitted to one of the plurality of client computing devices.

An Erythropoietic Stimulating Agent (ESA) dosing system/method determines patient-specific ESA therapies for patients affected by insufficient hemoglobin production that may benefit from ESA treatment. The ESA dosing system includes a model that represents a process by which red blood cells are produced in humans. The model may include one or more parameters, the values of which are patient-specific. The model takes into account patient-specific historical hemoglobin (Hgb) data and corresponding historical ESA dosage data to estimate the patient-specific values of the model parameters, and determines a target therapeutic dose of the ESA that may maintain the patient's Hgb within a target range.

Biosensor system measurement devices used to determine the presence and/or concentration of an analyte in a sample include normalized calibration information relating output signal or signals the device generates in response to the analyte concentration of the sample to previously determined reference sample analyte concentrations. The measurement devices use this normalized calibration information to relate one or more output signals from an electrochemical or optical analysis of a sample to the presence and/or concentration of one or more analytes in the sample. The normalized calibration information includes a normalization relationship to normalize output signals measured by the measurement device of the biosensor system and at least one normalized reference correlation relating normalized output signals to reference sample analyte concentrations.

A method for quantifying nucleic acid is provided. The method includes determining a first reference threshold cycle for a first predetermined input quantity for a reference nucleic acid, determining a first target threshold cycle for the first predetermined input quantity for a target nucleic acid, determining a second reference threshold cycle for a second predetermined input quantity for the reference nucleic acid, and determining a second target threshold cycle, by the processor, for the second predetermined input quantity for the target nucleic acid. The method further includes receiving a sample threshold cycle, determining a sample input quantity based on the first and second reference threshold cycle and the first and second target threshold cycle, and displaying the sample input quantity to a user.

Systems and methods for creating fully custom products from scratch without exclusive use of off-the-shelf or pre-specified components. A system for creating custom products includes a computer communicatively coupled with an image capture device and configured to construct an anatomic model of the user based on captured image data and/or measurement data. The computer provides a configurable product model and enables preview and automatic or user guided customization of the product model. A display is communicatively coupled with the computer and displays the custom product model superimposed on the anatomic model or image data of the user. The computer is further configured to provide the customized product model to a manufacturer for manufacturing eyewear for the user in accordance with the customized product model.

Systems and methods for creating fully custom products from scratch without exclusive use of off-the-shelf or pre-specified components. A system for creating custom products includes an image capture device for capturing image data and/or measurement data of a user. A computer is communicatively coupled with the image capture device and configured to construct an anatomic model of the user based on the captured image data and/or measurement data. The computer provides a configurable product model and enables preview and automatic or user-guided customization of the product model. A display is communicatively coupled with the computer and displays the custom product model superimposed on the anatomic model or image data of the user. The computer is further configured to provide the customized product model to a manufacturer for manufacturing eyewear for the user in accordance with the customized product model. The manufacturing system is configured to interpret the product model and prepare instructions and control equipment for the manufacturing of the customized product.

Systems in a flow cytometer having an interrogation zone and illumination impinging the interrogation zone include: a lens subsystem including a collimating element that collimates light from the interrogation zone, a light dispersion element that disperses collimated light into a light spectrum, and a focusing lens that focuses the light spectrum onto an array of adjacent detection points; a detector array, including semiconductor detector devices, that collectively detects a full spectral range of input light signals, in which each detector device detects a subset spectral range of the full spectral range of light signals; and a user interface that enables a user to create a set of virtual detector channels by grouping detectors in the detector array, such that each virtual detector channel corresponds to a detector group and has a virtual detector channel range including the sum of subset spectral ranges of the detectors in the corresponding detector group.

A kit, an apparatus, and a method for detecting chromosome aneuploidy. The method comprises: sequencing the peripheral blood cell-free DNA of a pregnant woman to be tested to produce sequencing data comprising all chromosomes; calculating a coverage for all of the chromosomes in the sequencing data by segmenting the chromosomes into windows so as to produce a pre-correction coverage for the each chromosome; calculating a Z.sub.CNV value using the number of unique sequences in each window and producing fragments with copy number variation of the pregnant woman on the basis of the magnitude of the Z.sub.CNV value; by utilizing the impact that the fragments with copy number variation have on the pre-correction coverage, correcting the pre-correction coverage to produce a corrected coverage; calculating a Z.sub.aneu value for the each chromosome by utilizing the corrected coverage of the each chromosome; and, if the absolute value of the Z.sub.aneu value is greater than or equal to 3, then it is determined that the chromosome has an aneuploidy.