Abstract: A therapy system that includes a patient support apparatus and a pneumatic therapy device that is coupleable to the patient support apparatus. The therapy device may receive power and air flow from the patient support apparatus.

Abstract: A medical device is provided that can be held and operated with a single hand to cause a catheter to be placed at a selected location in a patient's body. The user's other hand is free to perform other tasks, such as operating an ultrasound probe, for example. The medical device may also include a valve that can be operated with the same hand that holds the medical device to open a port to cause a fluid, such as a nerve block agent, for example, to be injected into the patient's body at the selected location.

Abstract: A therapy system includes a patient support apparatus and a pneumatic therapy device that is coupleable to the patient support apparatus. The therapy device may receive power and air flow from the patient support apparatus.

Abstract: A medical device is provided that can be held and operated with a single hand to cause a catheter to be placed at a selected location in a patient's body. The user's other hand is free to perform other tasks, such as operating an ultrasound probe, for example. The medical device may also include a valve that can be operated with the same hand that holds the medical device to open a port to cause a fluid, such as a nerve block agent, for example, to be injected into the patient's body at the selected location.

Abstract: In one implementation, a computer-implemented method includes accessing patient-derived blood data; identifying biomarker pair interactions based on signal processing of the patient-derived blood data; generating a data model that characterizes one or more aspects of human immune system interactions based on reverse engineering of the human immune system interactions using the identified biomarker pair interactions; evaluating suitability of the data model, wherein the evaluating includes: statistically testing the data model in characterizing correlations between biomarker pairs; decomposing the data model to determine (i) model order accuracy, (ii) whether biomarker nodes act in together or opposite each other, and (iii) normalized data with dynamic effects of homeostasis removed; and quantifying degrees to which the data model accurately correlates patient treatments to patient outcomes; and providing the data model for use in treatment-based decision making based on the evaluating.

Abstract: A medical device is provided that can be held and operated with a single hand to cause a catheter to be placed at a selected location in a patient's body. The user's other hand is free to perform other tasks, such as operating an ultrasound probe, for example. The medical device may also include a valve that can be operated with the same hand that holds the medical device to open a port to cause a fluid, such as a nerve block agent, for example, to be injected into the patient's body at the selected location.

Abstract: In one implementation, a computer-implemented method includes accessing patient-derived blood data; identifying biomarker pair interactions based on signal processing of the patient-derived blood data; generating a data model that characterizes one or more aspects of human immune system interactions based on reverse engineering of the human immune system interactions using the identified biomarker pair interactions; evaluating suitability of the data model, wherein the evaluating includes: statistically testing the data model in characterizing correlations between biomarker pairs; decomposing the data model to determine (i) model order accuracy, (ii) whether biomarker nodes act in together or opposite each other, and (iii) normalized data with dynamic effects of and providing the data model for use in treatment-based decision making based on the evaluating.

Abstract: A chain rule-based evaluation technique is presented for analytically evaluating partial derivatives of nonlinear functions or differential equations defined by a high-level language. A coordinate embedding strategy is introduced that replaces all scalar variables with higher-dimensional objects. The higher dimensional objects are defined by a concatenation of the original scalar and its Jacobian and Hessian partials. The artificial problem dimensions permit exact sensitivity models to be recovered for arbitrarily complex matrix-vector models. An object-oriented operator-overloading technique is used to provide a familiar conceptual framework for generating the model sensitivity data. First- and second-order partial derivative models are automatically evaluated by defining generalized operators for multiplication, division, and composite function calculations.

Abstract: A computer-assisted method for generating a dynamic model of a molecule is described based on information of the atomic structure. The model data is defined by rigid bodies corresponding to groups of atoms of the molecule with substantially no relative movement between the atoms, flexible bodies corresponding to groups of atoms which are characterized by relative movement between the atoms, and flexure elements which define an interconnection of two of the rigid bodies and the flexible bodies and predetermined degrees of freedom.