Abstract: One embodiment provides a method including continuously monitoring, by a computing device, carbon emissions for establishing software application priority for autoscaling. The carbon emissions are utilized as an observability metric while leveraging business criticality and burst capacity to define the software application execution scenario. A first sustainability threshold for the software application and a second sustainability threshold for each of multiple business units are identified for leveraging a carbon footprint based on the business criticality and strategic importance for multiple software applications including the software application in an enterprise application portfolio. The software application execution is autoscaled based on the first sustainability threshold and the second sustainability threshold.

Abstract: A method of characterizing a specimen to be analyzed in an automated diagnostic analysis system provides an HILN classification (hemolysis, icterus, lipemia, normal) of the specimen along with a basis for that determination. The method includes assigning a hash code to each training image of a sample specimen used in the characterization training process. In response to an HILN determination for a test specimen, the method can retrieve via the hash code one or more of the closest matching training images upon which the HILN classification is based. The one or more of the closest matching training images can be displayed alongside of the one or more images of the test specimen. Quality check modules and systems configured to carry out the method are also described, as are other aspects.

Abstract: The present disclosure relates to methods, systems, and apparatuses for identifying related records in a database. The method includes receiving, via a network interface, a related records query, the related records query identifying at least one record stored in the electronic database, determining, based on transaction data, at least one related record that is related to the identified at least one record, determining, by a processor, that the at least one related record is unavailable, in response to determining that the at least one related record is unavailable, determining at least one keyword associated with the at least one related record, selecting at least one of one or more substitute records based at least in part on comparing the at least one keyword with a set of keywords associated with one or more substitute records, and providing the selected one or more substitute records as a response to the related records query.

Abstract: Systems and methods are disclosed for generating interactive user interfaces for evaluating transactions of an organization. For example, a system can be configured to receive transactions for an organization and determine a first subset of the transactions during a trip at a first location that is different from a home location of a consumer. A respective transaction associated with a second location that occurred during the trip is identified. The respective transaction is assigned to the first subset of the of transactions for the trip. A second subset of the transactions of a spending type is determined. A parameter value associated with the spending type is identified. A parameter adjustment is determined. The system is configured to cause a display of a spending type user interface on a client device and receive a selection of a parameter component.

Abstract: A stream of virtual topograms, in particular live virtual topograms, is predicted. Sets of surface data of an outer surface of a subject are continuously received. Based on each received set of surface data a (live) virtual topogram is continuously generated by a trained machine learning algorithm (MLA). Thereto, a representation of body landmarks is updated based on each received set of surface data by a trained body marker detector (BMD), of the trained MLA, and the (live) virtual topogram is predicted based on the updated spatial marker map and on the corresponding set of surface data by a trained topogram generator (TG) of the trained MLA.

Abstract: Systems and methods for managing patient diagnostic and therapy workflows in a hospital and/or radiology centers. A radiology recommendation agent is trained using reinforcement learning and a simulation environment in which the agent takes actions and receives feedback from the simulation environment based on how its action affect the simulation environment over time.

Abstract: Based on available genomic data for a patient, both a DNA language model and a protein language model are used to generate scores for medical decision support. These scores are used to predict the health of the patient. For example, decision support is provided by scoring expression of genes and the functionality of encoded proteins and inputting the scoring to a predictive model for predicting health of the patient.

Abstract: Systems and methods for performing one or more medical analysis tasks are provided. Patient data of a patient is received for a set of biomarkers acquired at one or more time points within a period of time. The patient data is encoded using an encoder network to generate patient data embeddings. One or more medical analysis tasks are performed based on the patient data embeddings using one or more decoder networks. The one or more medical analysis tasks comprise generating recommendations for a clinical course of action. Results of the one or more medical analysis tasks are output.

Abstract: A thermal interface material (TIM), an integrated circuit assembly, and a method for thermally connecting layers are provided. The TIM comprises a polymer component and liquid metal droplets dispersed throughout the polymer component. The polymer component comprises a first polymer and at least one of a second polymer, a third polymer, and a fourth polymer. The first polymer comprises a vinyl terminated polydimethylsiloxane having a molecular weight (MW)<30,000 g/mol. The second polymer comprises a vinyl terminated polydimethylsiloxane having a MW<30,000 g/mol. The third polymer comprises an alkyl terminated poly dimethylsiloxane having a MW?30,000 g/mol. The fourth polymer comprises polybutadiene. The TIM has a strain limit of at least 100% and the TIM has a lap shear strength of at least 1 MPa.

Abstract: Diagnostic laboratory systems, methods of operating diagnostic laboratory systems, and methods of updating diagnostic laboratory systems are disclosed. A method of operating a diagnostic laboratory system includes identifying data in the system as identified data: identifying change in a data distribution of the identified data; aggregating data instances pertaining to the change in the data distribution; selecting a subset of the aggregated data to update a processing algorithm in the system; and updating the processing algorithm using the subset of the aggregated data. Other systems and methods are disclosed.

Abstract: A glow plug includes a housing formed of a metal or metal alloy and having a first end having a first opening, and an opposing second end having a second opening, a heating element extending through the first opening and having a working end that is exposed outside of the first end of the housing and an opposing terminal end that is located inside of the housing, a brazed sealant assembly connected to the second end of the housing, first and second terminal wires that extend through the brazed sealant assembly and are electrically connected to the terminal end of the heating element, and a dielectric disk located inside of the housing and surrounding a portion of the terminal end of the heating element.

Abstract: A method of characterizing a specimen container or a specimen in an automated diagnostic system includes capturing an image of a specimen container containing a specimen using an imaging device. The method further includes characterizing the image using a first AI model and determining whether a characterization confidence of the image is below a pre-selected threshold. The first AI model is retrained with the image having the characterization confidence below the pre-selected threshold to a second AI model, wherein the retraining includes data selected from one or more of a group of: non-image data, and text data. Quality check modules and systems configured to perform the method are also described, as are other aspects.

Abstract: A computer-implemented method of adjudicating an imaged lesion, comprising: receiving a diagnostic image showing a lesion; processing the diagnostic image in a machine learning algorithm previously trained to classify the lesion and to propose, based on a lesion class for the lesion, a blood test panel suited to adjudicate the lesion; and outputting the proposed blood test panel to a user.

Abstract: Systems and methods for processing a C4 and C5 stream are disclosed. A pygas stream can be separated in a depentanizer to produce a C4 and C5 stream and a C6 to C9+ stream. The C4 and C5 stream is further processed to recover C5 dienes including isoprene, pentadiene, cyclopentadiene, or combinations thereof. The C6 to C9+ stream is further processed to recover aromatics including benzene, toluene, xylene, ethylbenzene, or combinations thereof.

Abstract: A computer-implemented method for detecting a failure of a device connected to a sensor is disclosed. The method includes a machine learning model receiving a trace signal from the sensor indicating a status of the device, the machine learning model encoding the trace signal into a plurality of vector representations, and the machine learning model determining whether the trace signal is valid or invalid based on the plurality of vector representations.

Abstract: Systems and methods for generating a probabilistic tree of vessels are provided. An input medical image of vessels of a patient is received. Anatomical landmarks are identified in the input medical image. A centerline of the vessels in the input medical image is determined based on the anatomical landmarks. A probabilistic tree of the vessels is generated based on a probability of fit of the anatomical landmarks and the centerline of the vessels. The probabilistic tree of the vessels is output.

Abstract: Methods of characterizing a sample container or a biological sample in an automated diagnostic analysis system using an artificial intelligence (AI) algorithm include retraining of the AI algorithm in response to characterization confidence levels determined to be unsatisfactory. The AI algorithm is retrained with data (including image data and/or non-image data) having features prevalent at the site where the automated diagnostic analysis system is operated, which were not sufficiently or at all included in training data used to initially train the AI algorithm. Systems for characterizing a sample container or a biological sample using an AI algorithm are also provided, as are other aspects.

Abstract: For AI-based recommendations in a service management system, the AI is machine trained using gamification. A model of the service management system is used in simulation to train a policy in reinforcement learning to implement strategies for improvement of KPI(s). By varying sampling of distribution of parameters of the model and/or varying the distributions of parameters used in the model, the policy learns to deal with a variety of situations using the simulations from the model. The resulting AI (machine-learned policy) is used to make recommendations for the service management system.

Abstract: Methods of operating a diagnostic laboratory system include providing a module configured to perform a function on an item in the diagnostic laboratory system; providing a plurality of sensors, each of the plurality of sensors configured to monitor the function or the item and generate sensor data in response to the monitoring; checking an operational status of a first sensor of the plurality of sensors; receiving sensor data from at least one of the plurality of sensors; and scaling sensor data from the first sensor in response to the operational status and the sensor data to generate revised sensor data. Systems including a middleware server configured to carry out the methods are provided as are other aspects.

Abstract: One or more example embodiments of the present invention relates to a computer-implemented method for assessing a component quality of an electron emitter as a function of an ascertained degree of similarity with at least one further electron emitter.