Abstract: The invention relates to polymeric compositions, nanoparticles and vaccines comprising polymeric compositions. The invention extends to medical uses of the polymeric compositions, nanoparticles and vaccines. The invention further extends to methods of producing the polymeric compositions and nanoparticles.

Abstract: The invention relates to simplified means of using biological predictive relationships, in some instances reducing the determination of complex gene networks and relative expression patterns to a single reading.

Abstract: A medical instrument is provided and includes a housing and a shaft coupled to the housing. The shaft has a proximal end and a distal end. An end-effector assembly is disposed at the distal end of the shaft. The end-effector assembly includes first and second jaw members. At least one of the first and second jaw members is movable from a first position wherein the first and second jaw members are disposed in spaced relation relative to one another to at least a second position closer to one another wherein the first and second jaw members cooperate to grasp tissue therebetween. The medical instrument also includes one or more light-emitting elements and one or more light-detecting elements configured to generate one or more signals indicative of tissue florescence. The one or more light-emitting elements are adapted to deliver light energy to tissue grasped between the first and second jaw members.

Abstract: An automated method of particle analysis is performed using an electromagnetic radiation source for generating a beam of electromagnetic radiation, a focusing element for directing the beam to a particle capture zone, a detector configured to detect a signal response from the particle capture zone and a control system. An electromagnetic radiation beam is focused onto a particle-conveying medium to define the particle capture zone for capturing a candidate particle within the beam. A first data acquisition procedure is performed to test for particle capture. If particle capture is not detected, the first data acquisition procedure is repeated. If a particle capture is detected within the beam, a second data acquisition procedure is performed to capture particle data using at least one analysis modality, following which the optical beam intensity is reduced to a sub-capture level to release the particle from the particle capture zone.

Abstract: Technical solutions are described for execution of a machine-assisted workflow, the workflow including a sequence of workflow steps. An example method includes pulling a preliminary update for the workflow from a data source and modifying the workflow dynamically. The method further includes selecting a workflow step, pulling an updated information for the workflow step from the data source and modifying the workflow step dynamically using the updated information. The method further includes retrieving, from the data source, first preview information, the first preview information indicative of previews of one or more operations from the updated workflow step. The method further includes to the first preview information, executing the updated workflow step. The method further includes accumulating execution information including second preview information based on the execution and pushing the execution information to the data source upon completion of the workflow step.

Abstract: A medical instrument is provided and includes a housing and a shaft coupled to the housing. The shaft has a proximal end and a distal end. An end-effector assembly is disposed at the distal end of the shaft. The end-effector assembly includes first and second jaw members. At least one of the first and second jaw members is movable from a first position wherein the first and second jaw members are disposed in spaced relation relative to one another to at least a second position closer to one another wherein the first and second jaw members cooperate to grasp tissue therebetween. The medical instrument also includes one or more light-emitting elements and one or more light-detecting elements configured to generate one or more signals indicative of tissue florescence. The one or more light-emitting elements are adapted to deliver light energy to tissue grasped between the first and second jaw members.

Abstract: A medical instrument is provided and includes a housing and a shaft coupled to the housing. The shaft has a proximal end and a distal end. An end-effector assembly is disposed at the distal end of the shaft. The end-effector assembly includes first and second jaw members. At least one of the first and second jaw members is movable from a first position wherein the first and second jaw members are disposed in spaced relation relative to one another to at least a second position closer to one another wherein the first and second jaw members cooperate to grasp tissue therebetween. The medical instrument also includes one or more light-emitting elements and one or more light-detecting elements configured to generate one or more signals indicative of tissue florescence. The one or more light-emitting elements are adapted to deliver light energy to tissue grasped between the first and second jaw members.

Abstract: Technical solutions are described for a machine-assisted workflow execution. An example method includes selecting a workflow for interactive execution, the workflow includes a sequence of workflow steps, and responsively, identifying a preliminary update for the workflow from a data source. The method further includes authenticating the data source, and if the data source is a trusted data source, pulling the preliminary update from the data source and modifying the workflow dynamically. The method further includes selecting a workflow step for execution, and responsively, pulling an updated information for the workflow step from the data source. The method further includes executing the workflow step using the pulled updated information, the execution including changing a target system. The method further includes accumulating execution information and pushing the execution information to the data source upon completion of the workflow step.

Abstract: Technical solutions are described for machine-assisted workflow execution, the workflow includes a sequence of workflow steps. An example method includes, pulling a preliminary update for the workflow from a data source and modifying the workflow dynamically. The method further includes selecting a workflow step for execution, and responsively, pulling updated information for the workflow step from the data source. The method further includes retrieving, from the data source, first reasoning information being indicative of whether to update the workflow step. If the first reasoning information is indicative of performing an update, updating the workflow step dynamically using the updated information, and executing the updated workflow step.

Abstract: Technical solutions are described for machine-assisted workflow execution. An example method includes selecting a workflow for interactive execution, the workflow including a sequence of workflow steps. The method further includes pulling a preliminary update for the workflow from a data source and modifying the workflow dynamically. The method further includes selecting a workflow step from the workflow for execution, and pulling updated information for the workflow step from the data source. The method further includes executing the workflow step using the pulled updated information, the execution includes changing a target system. The method further includes accumulating execution information including attributes associated with execution of the workflow step, and pushing the execution information to the data source upon completion of the workflow step.

Abstract: Technical solutions are described for execution of a machine-assisted workflow, the workflow including a sequence of workflow steps. An example method includes pulling a preliminary update for the workflow from a data source and modifying the workflow dynamically. The method further includes selecting a workflow step, pulling an updated information for the workflow step from the data source and modifying the workflow step dynamically using the updated information. The method further includes retrieving, from the data source, first preview information, the first preview information indicative of previews of one or more operations from the updated workflow step. The method further includes to the first preview information, executing the updated workflow step. The method further includes accumulating execution information including second preview information based on the execution and pushing the execution information to the data source upon completion of the workflow step.

Abstract: Technical solutions are described for execution of a machine-assisted workflow, the workflow including a sequence of workflow steps. An example method includes pulling a preliminary update for the workflow from a data source and modifying the workflow dynamically. The method further includes selecting a workflow step, pulling an updated information for the workflow step from the data source and modifying the workflow step dynamically using the updated information. The method further includes retrieving, from the data source, first preview information, the first preview information indicative of previews of one or more operations from the updated workflow step. The method further includes to the first preview information, executing the updated workflow step. The method further includes accumulating execution information including second preview information based on the execution and pushing the execution information to the data source upon completion of the workflow step.

Abstract: Technical solutions are described for interactively executing a workflow that includes multiple workflow steps. An example method includes pulling a preliminary update for the workflow from a data source and modifying the workflow dynamically. The method further includes selecting a workflow step, and pulling updated information from the data source and modifying the workflow step dynamically. Further, the method includes retrieving, from the data source, first results information, indicative of results of executing the updated workflow step by other users, and based on the first results information, executing the updated workflow step. The method further includes accumulating a second results information based on the execution of the workflow step. Further, the execution includes pushing the second results information to the data source upon completion of the workflow step.

Abstract: Technical solutions are described for execution of a machine-assisted workflow, the workflow including a sequence of workflow steps. An example method includes pulling a preliminary update for the workflow from a data source and modifying the workflow dynamically. The method further includes selecting a workflow step, pulling an updated information for the workflow step from the data source and modifying the workflow step dynamically using the updated information. The method further includes retrieving, from the data source, first preview information, the first preview information indicative of previews of one or more operations from the updated workflow step. The method further includes to the first preview information, executing the updated workflow step. The method further includes accumulating execution information including second preview information based on the execution and pushing the execution information to the data source upon completion of the workflow step.

Abstract: Technical solutions are described for a machine-assisted workflow execution. An example method includes selecting a workflow for interactive execution, the workflow includes a sequence of workflow steps, and responsively, identifying a preliminary update for the workflow from a data source. The method further includes authenticating the data source, and if the data source is a trusted data source, pulling the preliminary update from the data source and modifying the workflow dynamically. The method further includes selecting a workflow step for execution, and responsively, pulling an updated information for the workflow step from the data source. The method further includes executing the workflow step using the pulled updated information, the execution including changing a target system. The method further includes accumulating execution information and pushing the execution information to the data source upon completion of the workflow step.

Abstract: Technical solutions are described for interactively executing a workflow that includes multiple workflow steps. An example method includes pulling a preliminary update for the workflow from a data source and modifying the workflow dynamically. The method further includes selecting a workflow step, and pulling updated information from the data source and modifying the workflow step dynamically. Further, the method includes retrieving, from the data source, first results information, indicative of results of executing the updated workflow step by other users, and based on the first results information, executing the updated workflow step. The method further includes accumulating a second results information based on the execution of the workflow step. Further, the execution includes pushing the second results information to the data source upon completion of the workflow step.

Abstract: Technical solutions are described for machine-assisted workflow execution. An example method includes selecting a workflow for interactive execution, the workflow including a sequence of workflow steps. The method further includes pulling a preliminary update for the workflow from a data source and modifying the workflow dynamically. The method further includes selecting a workflow step from the workflow for execution, and pulling updated information for the workflow step from the data source. The method further includes executing the workflow step using the pulled updated information, the execution includes changing a target system. The method further includes accumulating execution information including attributes associated with execution of the workflow step, and pushing the execution information to the data source upon completion of the workflow step.

Abstract: Technical solutions are described for machine-assisted workflow execution, the workflow includes a sequence of workflow steps. An example method includes, pulling a preliminary update for the workflow from a data source and modifying the workflow dynamically. The method further includes selecting a workflow step for execution, and responsively, pulling updated information for the workflow step from the data source. The method further includes retrieving, from the data source, first reasoning information being indicative of whether to update the workflow step. If the first reasoning information is indicative of performing an update, updating the workflow step dynamically using the updated information, and executing the updated workflow step.

Abstract: A medical instrument is provided and includes a housing and a shaft coupled to the housing. The shaft has a proximal end and a distal end. An end-effector assembly is disposed at the distal end of the shaft. The end-effector assembly includes first and second jaw members. At least one of the first and second jaw members is movable from a first position wherein the first and second jaw members are disposed in spaced relation relative to one another to at least a second position closer to one another wherein the first and second jaw members cooperate to grasp tissue therebetween. The medical instrument also includes one or more light-emitting elements and one or more light-detecting elements configured to generate one or more signals indicative of tissue florescence. The one or more light-emitting elements are adapted to deliver light energy to tissue grasped between the first and second jaw members.

Abstract: The present invention relates to an assay for transferases. The assay comprises a first moiety comprising a transferase substrate and a second moiety capable of binding to the transferase substrate after it has been acted on by the transferase. One of the first and second moieties comprises a fluorophore and the other of the first and second moieties causes a change in fluorescence of the fluorophore. Thus, when the second moiety binds the transferase substrate after it has been acted on by the transferase, a change in fluorescence can be detected. The assay allows for agents that modulate the activity of the transferase to be screened.