Abstract: Methods and systems for quantification of an abundance of one or more payloads (e.g. proteins) in a mixture (e.g. a complex mixture (e.g. in vivo)) using barcodes (e.g. peptide barcodes), binders (e.g. polypeptide binders), and binding agents (e.g. phage) are provided herein.

Abstract: Methods and systems are described and claimed that employ machine learning data processing models to generate for a cancer patient being treated with a radiopharmaceutical a predicted Absorbed Dose Map (ADM), a predicted PET scan or a predicted outcome parameter for an administered dose of the radiopharmaceutical.

Abstract: A system and method are provided for data collection and analysis of information related to applications. Specifically, the developer of the application may install analytic software, which may be embodied as a software development kit (SDK), on an integrated development environment (“IDE”) associated with the developer, wherein the analytic software may be installed with a wizard-like interface having a series of easy to follow instructions. Once installed, the application, with the analytic software incorporated therein, may be provided and installed on a plurality of end user devices. Thereafter, the analytic software may work in conjunction with analytic processing logic to assist the developer in obtaining pertinent information related to bugs associated with the application that is being executed on an end user device.

Abstract: Methods and systems for quantification of an abundance of one or more payloads (e.g. proteins) in a mixture (e.g. a complex mixture (e.g. in vivo)) using barcodes (e.g. peptide barcodes), binders (e.g. polypeptide binders), and binding agents (e.g. phage) are provided herein.

Abstract: Provided herein, inter alia, are methods and compositions for treating diabetes mellitus comprising co-transplantation of an insulin-producing cell and a cell derived from a parathyroid gland (PTG), a CD34+ cell derived from a parathyroid gland, a CD34+ cell derived from a stem cell, or other progenitor cell-derived CD34+ cell.

Abstract: A system for optimizing resource allocation includes and/or interfaces with: a set of contextual data sources; a decision-making subsystem; and a set of schedules. Additionally or alternatively, the system can optionally include and/or interface with a set of user interfaces, memory, a set of data collection, and/or any other suitable components. A method for resource optimization includes: receiving a set of inputs; and processing the set of inputs and/or contextual data with a set of models to produce a set of schedules. Additionally or alternatively, the method can include any or all of: training the set of models; pre-processing the set of inputs to supplement the set of contextual data; dynamically adjusting the set of schedules; triggering a set of actions based on the set of schedules; updating the set of models; and/or any other processes.

Abstract: A system for optimizing resource allocation includes and/or interfaces with: a set of contextual data sources; a decision-making subsystem; and a set of schedules. Additionally or alternatively, the system can optionally include and/or interface with a set of user interfaces, memory, a set of data collection, and/or any other suitable components. A method for resource optimization includes: receiving a set of inputs; and processing the set of inputs and/or contextual data with a set of models to produce a set of schedules. Additionally or alternatively, the method can include any or all of: training the set of models; pre-processing the set of inputs to supplement the set of contextual data; dynamically adjusting the set of schedules; triggering a set of actions based on the set of schedules; updating the set of models; and/or any other processes.

Abstract: Processing methods for forming iridium-containing films at low temperatures are described. The methods comprise exposing a substrate to iridium hexafluoride and a reactant to form iridium metal or iridium silicide films. Methods for enhancing selectivity and tuning the silicon content of some films are also described.

Abstract: Certain aspects involve providing automated performance monitoring of statistical models. For example, a processing device is used for performing a statistical analysis on information in an archive to extract historical data, scores, and attributes. The processing device calculates performance metrics based at least in part on the historical data, scores, and attributes. The processing device pre-calculates summary performance data based at least in part on the performance metrics. The summary performance data is stored in files with predefined layouts, which are stored in a non-transitory, computer-readable medium. Segmented data is presented from a file to a user through a graphical user interface (GUI). In some aspects, various reports of the segmented data are presented interactively by detecting a selection by the user of a segmentation and displaying the corresponding segmented data.

Abstract: A computer-implemented method comprises creating and storing a plurality of different access group identifiers each associated with one or more user account identifiers, and a plurality of different classification markings each representing a different access restriction for an electronic document, and associating each of the user account identifiers with one or more of the classification markings; indexing each particular electronic document among a plurality of different electronic documents in association with values of one or more of the access group identifiers and with an inverse list of values of the classification markings that apply to the particular electronic document in a classification index; receiving a search query that specifies one or more attributes of electronic documents; obtaining one or more first classification markings, among the plurality of classification markings, which are associated with a particular user account identifier that is associated with the search query; executing a sea

Abstract: A system 100 for automatically generating a field of a radiology report includes a set of one or more models. A method for automatically generating a field of a radiology report includes: receiving a radiologist identifier (radiologist ID); receiving a set of finding inputs; determining a context of each of the set of finding inputs; determining text associated with a portion or all of the radiology report based on the context and the radiologist style; and inserting the text into the report.

Abstract: A method for controlling tension in a belt of a conveyor system. The method involves: driving the belt along a path from an intake region to a discharge region using an intake motor adjacent the intake region and a discharge motor adjacent the discharge region; measuring a tension in the belt using an intake belt sensor that moves with the belt proximate the intake region to generate an intake belt signal; measuring a tension in the belt using a discharge belt sensor that moves with the belt proximate the discharge region to generate a discharge belt signal; monitoring the intake and discharge belt signals; and adjusting at least one of the intake motor and the discharge motor based on the intake and discharge belt signals to maintain the tensions in the belt within a pre-defined range.

Abstract: A heat transfer system includes a conveyor belt having air permeable outer and inner side walls and forming a conveyor stack having a plurality of tiers and a central space with a volume. A first portion of the volume and a first plurality of tiers are in a first sub-chamber and a second portion of the volume and a second plurality of tiers are in a second sub-chamber. The system further includes generating means which: produces, in the second sub-chamber, airflow in a horizontal direction towards the conveyor stack and in a horizontal and radial direction across the second plurality of tiers to enter the second portion of the volume; and draws, in the first sub-chamber, the airflow in a horizontal direction away from the conveyor stack and in a horizontal and radial direction to exit the first portion of the volume across the first plurality of tiers.

Abstract: A system 100 for automatically generating a field of a radiology report includes a set of one or more models. A method for automatically generating a field of a radiology report includes: receiving a radiologist identifier (radiologist ID); receiving a set of finding inputs; determining a context of each of the set of finding inputs; determining text associated with a portion or all of the radiology report based on the context and the radiologist style; and inserting the text into the report.

Abstract: A system 100 for automatically generating a field of a radiology report includes a set of one or more models. A method for automatically generating a field of a radiology report includes: receiving a radiologist identifier (radiologist ID); receiving a set of finding inputs; determining a context of each of the set of finding inputs; determining text associated with a portion or all of the radiology report based on the context and the radiologist style; and inserting the text into the report.

Abstract: A method for the computer-assisted implementation of radiology recommendations includes any or all of: receiving a set of inputs; determining and/or identifying a set of findings; determining a set of follow-up recommendations; and triggering a set of outputs and/or actions based on the set of follow-up recommendations. A system for the computer-assisted implementation of radiology recommendations preferably includes and/or interfaces a set of computing subsystems and/or processing subsystems, but can additionally include and/or interface with a set of devices (e.g., user devices), models, and/or any other components.

Abstract: A method for the automated annotation of radiology findings includes: receiving a set of inputs, determining a set of outputs based on the set of inputs, assigning labels to the set of inputs, and annotating the set of inputs based on the labels. Additionally, the method can include any or all of: presenting annotated inputs to a user, comparing multiple sets of inputs, transmitting a set of outputs to a radiologist report, or any other suitable processes.

Abstract: A method for the computer-assisted implementation of radiology recommendations includes any or all of: receiving a set of inputs; determining and/or identifying a set of findings; determining a set of follow-up recommendations; and triggering a set of outputs and/or actions based on the set of follow-up recommendations. A system for the computer-assisted implementation of radiology recommendations preferably includes and/or interfaces a set of computing subsystems and/or processing subsystems, but can additionally include and/or interface with a set of devices (e.g., user devices), models, and/or any other components.

Abstract: A method for the automated annotation of radiology findings includes: receiving a set of inputs, determining a set of outputs based on the set of inputs, assigning labels to the set of inputs, and annotating the set of inputs based on the labels. Additionally, the method can include any or all of: presenting annotated inputs to a user, comparing multiple sets of inputs, transmitting a set of outputs to a radiologist report, or any other suitable processes.

Abstract: Methods and systems for quantification of an abundance of one or more payloads (e.g. proteins) in a mixture (e.g. a complex mixture (e.g. in vivo)) using barcodes (e.g. peptide barcodes), binders (e.g. polypeptide binders), and binding agents (e.g. phage) are provided herein.