Abstract: The disclosure relates to a liquid pharmaceutical composition of aldesleukin/SDS aggregates and its use in the treatment of auto-immune disease, inflammatory disorders, gene therapies and cancer. A method for preparing said composition is also described.

Abstract: Systems and methods for classifying and sorting of dark colored and/or black-colored plastic materials utilizing a vision system or one or more sensor systems implemented with one or more medium wavelength infrared cameras whereby the captured image data is process within a machine learning system in order to identify or classify each of the materials, which may then be sorted into separate groups based on such an identification or classification.

Abstract: A device includes a processor configured to obtain flight data of one or more aircraft of an aircraft type. The processor is configured to identify a first portion of the flight data as first phase flight data associated with a first phase of one or more flights of the one or more aircraft, and to apply a first aircraft performance model to the first phase flight data to determine first parameter values. The processor is configured to identify a second portion of the flight data as second phase flight data associated with a second phase of the one or more flights, and to apply the first aircraft performance model to the second phase flight data to determine second parameter values. The processor is configured to generate, based on the first parameter values and the second parameter values, a second aircraft performance model of a particular aircraft of the aircraft type.

Abstract: Described are immediate release oral dosage forms that contain abuse-deterrent features. In particular, the disclosed dosage forms provide deterrence of abuse by ingestion of multiple individual doses. In addition, the disclosed dosage forms provide protection from overdose in the event of accidental or intentional ingestion of multiple individual doses.

Abstract: Described are immediate release oral dosage forms that contain abuse-deterrent features. In particular, the disclosed dosage forms provide deterrence of abuse by ingestion of multiple individual doses. In addition, the disclosed dosage forms provide protection from overdose in the event of accidental or intentional ingestion of multiple individual doses.

Abstract: Described are immediate release oral dosage forms that contain abuse-deterrent features. In particular, the disclosed dosage forms provide deterrence of abuse by ingestion of multiple individual doses. In addition, the disclosed dosage forms provide protection from overdose in the event of accidental or intentional ingestion of multiple individual doses.

Abstract: Described are immediate release oral dosage forms that contain abuse-deterrent features. In particular, the disclosed dosage forms provide deterrence of abuse by ingestion of multiple individual doses. In addition, the disclosed dosage forms provide protection from overdose in the event of accidental or intentional ingestion of multiple individual doses.

Abstract: Systems, methods, and apparatus to generate and utilize predictive workflow analytics and inferencing are disclosed and described. An example apparatus includes memory circuitry including instructions and a plurality of artificial intelligence (AI) models; and processor circuitry to execute the instructions to implement at least: a smart scheduling engine to train at least one of the plurality of AI models, update at least one of the plurality of AI models, and inference a prediction using at least one of the plurality of AI models; and a smart scheduling application programming interface (API) to facilitate interaction with at least one of the plurality of AI models to trigger the prediction and to configure resources for an appointment based on the prediction.

Abstract: The present invention is directed to a method for producing a coating system providing corrosion-protective properties when applied to metal surfaces, particularly in the form of a water-based (waterborne) composition, preferably in the form of a dispersion (i.e. emulsion or latex, respectively), as well as to coating system thus produced and to its various applications. The resulting coating system provides superior properties with respect to corrosion protection, on the one hand, and adhesion to metal surfaces, on the other hand, while at the same time being environmentally compatible and easy to use and to apply and being producible in an economic way.

Abstract: Systems, methods, and apparatus to generate and utilize predictive workflow analytics and inferencing are disclosed and described. An example predictive workflow analytics apparatus includes a data store to receive healthcare workflow data including at least one of a schedule or a worklist including a patient and an activity in the at least one of the schedule or the worklist involving the patient. The example apparatus includes a data access layer to combine the healthcare workflow data with non-healthcare data to enrich the healthcare workflow data for analysis with respect to the patient. The example apparatus includes an inferencing engine to generate a prediction including a probability of patient no-show to the activity by processing the combined, enriched healthcare workflow data using a model and triggering a corrective action proportional to the probability of patient no-show.

Abstract: Systems, methods, and apparatus to generate and utilize predictive workflow analytics and inferencing are disclosed and described. An example apparatus includes processor(s) to at least: generate a prediction including a probability of a patient no-show to a scheduled appointment using an artificial intelligence engine including a patient no-show model to predict the probability of the patient no-show based on a combination of healthcare workflow data and non-healthcare information; synchronize the prediction and a schedule including the scheduled appointment; and generate an interactive dashboard including the synchronized prediction and the schedule and at least one of: a) a first option to adjust the schedule to replace the patient based on the probability of the patient no-show orb) a second option to adjust the schedule to move the patient to a different time based on the probability of the patient no-show.

Abstract: Systems, methods, and apparatus to generate and utilize predictive workflow analytics and inferencing are disclosed and described. An example predictive workflow analytics apparatus includes a data store to receive healthcare workflow data including at least one of a schedule or a worklist including a patient and an activity in the at least one of the schedule or the worklist involving the patient. The example apparatus includes a data access layer to combine the healthcare workflow data with non-healthcare data to enrich the healthcare workflow data for analysis with respect to the patient. The example apparatus includes an inferencing engine to generate a prediction including a probability of patient no-show to the activity by processing the combined, enriched healthcare workflow data using a model and triggering a corrective action proportional to the probability of patient no-show.

Abstract: Described are immediate release oral dosage forms that contain abuse-deterrent features. In particular, the disclosed dosage forms provide deterrence of abuse by ingestion of multiple individual doses. In addition, the disclosed dosage forms provide protection from overdose in the event of accidental or intentional ingestion of multiple individual doses.

Abstract: Described are immediate release oral dosage forms that contain abuse-deterrent features. In particular, the disclosed dosage forms provide deterrence of abuse by ingestion of multiple individual doses. In addition, the disclosed dosage forms provide protection from overdose in the event of accidental or intentional ingestion of multiple individual doses.

Abstract: Described are immediate release oral dosage forms that contain abuse-deterrent features. In particular, the disclosed dosage forms provide deterrence of abuse by ingestion of multiple individual doses. In addition, the disclosed dosage forms provide protection from overdose in the event of accidental or intentional ingestion of multiple individual doses.

Abstract: Described are immediate release oral dosage forms that contain abuse-deterrent features. In particular, the disclosed dosage forms provide deterrence of abuse by ingestion of multiple individual doses. In addition, the disclosed dosage forms provide protection from overdose in the event of accidental or intentional ingestion of multiple individual doses.

Abstract: A computer-implemented method includes receiving an image representing a patient. A filter is applied to the image to produce a filtered image. The filtered image is submitted to a visual recognition tool. A score of the image is determined by the visual recognition tool, based on the filtered image, where the score indicates a likelihood that an abnormality appears in the image.

Abstract: Described are immediate release oral dosage forms that contain abuse-deterrent features. In particular, the disclosed dosage forms provide deterrence of abuse by ingestion of multiple individual doses. In addition, the disclosed dosage forms provide protection from overdose in the event of accidental or intentional ingestion of multiple individual doses.

Abstract: A knowledge management system and method may include receiving a first set of keywords used to describe a problem from a first user, storing in a coincidence database a domain sample related to the domain of the problem and a context sample from the set of keywords, searching a knowledge management repository containing potential solutions to the problem, determining that a solution to the problem does not exist in the knowledge management repository, locating a second user that has previously described the problem, determining that the first user and the second user are a collaborative match, and connecting the first user to the second user.

Abstract: Systems, methods, and apparatus to generate and utilize predictive workflow analytics and inferencing are disclosed and described. An example predictive workflow analytics apparatus includes a data store to receive healthcare workflow data including at least one of a schedule or a worklist including a patient and an activity in the at least one of the schedule or the worklist involving the patient. The example apparatus includes a data access layer to combine the healthcare workflow data with non-healthcare data to enrich the healthcare workflow data for analysis with respect to the patient. The example apparatus includes an inferencing engine to generate a prediction including a probability of patient no-show to the activity by processing the combined, enriched healthcare workflow data using a model and triggering a corrective action proportional to the probability of patient no-show.