Abstract: An apparatus for identifying regions of interest during slide digitization is disclosed. The apparatus includes at least processor and a memory communicatively connected to the processor. The memory contains instructions configuring the processor to receive a user dataset associated with at least a pathology slide. The memory contains instructions configuring the processor to identify one or more regions of interest within at least a pathology slide as a function of the user dataset. The memory contains instructions configuring the processor to identify at least one scan parameter as a function of the one or more regions of interest. The memory contains instructions configuring the processor to generate a digitized slide by scanning the at least a pathology slide as a function the at least one scan parameter.

Abstract: A method for visualization of digitized slides is disclosed. The method comprises retrieving, by one or more computer processors, a digitized slide, determining, by the one or more computer processors, one or more visualization components of the digitized slide, generating, by the one or more computer processors, a virtual slide corresponding to the digitized slide based on the one or more visualization components, and displaying, by the one or more computer processors, a visualization of the virtual slide.

Abstract: An apparatus for visualization of digitized glass slides belonging to a patient case having a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the processor to receive an image data set having a plurality of images of one or more specimen and metadata of the plurality of images of the one or more specimen, identify one or more constituent virtualization components for each image of the plurality of images within image data set, determine a relationship between the one or more constituent visualization components as a function of the image data set, construct a plurality of virtual images as a function of the image data set and the relationship between the one or more virtual constituent components, wherein each of plurality of the images includes at least one virtual constituent component generate a consolidated virtual image as a function of the plurality of virtual images and display the consolidated virtual image.

Abstract: Aspects of present disclosure relate to slide imaging. An exemplary system for imaging a slide includes at least an optical system, including an optical sensor; a slide port configured to hold a slide; and a first computing device configured to: capture, using the at least an optical system, a plurality of images of the slide, including a first image; automatically select an algorithm to apply to the first image; identify a control command as a function of the first image; and capture, using the at least an optical system, a second image of the plurality of images as a function of the control command.

Abstract: Process for producing a chemical product, comprising subjecting hydrocarbon feed and further reforming reactant to an endothermal reaction whereby a primary reformate is formed, in a primary fired heat-recuperating reformer reaction unit, comprising a catalyst zone and a primary reformate passage way arranged to transfer heat from said reformate to said catalyst zone; optionally subjecting the primary reformate to a secondary reforming reaction, thereby forming a secondary reformate; and using primary reformate or second reformate as a heat exchange medium to supply reaction heat to an endothermal reaction, which endothermal reaction is carried out in a parallel heat-exchanger reactor.

Abstract: A resource control system is described that is configured to control scheduling of executable jobs by compute instances of a service provider system. In one example, the resource control system outputs a deployment user interface to obtain job information. Upon receipt of the job information, the resource control system communicates with a service provider system to obtain logs from compute instances implemented by the service provider system for the respective executable jobs. The resource control system uses data obtained from the logs to estimate utility indicating status of respective executable jobs and an amount of time to complete the executable jobs by respective compute instances. The resource control system then employs a machine-learning module to generate an action to be performed by compute instances for respective executable jobs.

Abstract: A system for color gamut normalization for pathology slides, the system including at least computing device, wherein the computing device is configured to receive a whole slide image, generate a plurality of segments associated with the whole slide image as a function of one or more biological tissue type variabilities, apply a segment-specific transformation to each segment of the plurality of segments, create a user interface data structure, wherein the user interface data structure includes the plurality of segments and display the plurality of segments through a graphical user interface as a function of the user interface data structure.

Abstract: A method of training a machine learning model includes receiving training data comprising a graph structure and one or more feature attributes and determining an encoded graph based on applying the machine learning model to the graph structure and the one or more feature attributes. The machine learning model comprises a graph convolutional network layer. The encoded graph comprises one or more nodes and one or more paths connecting the one or more nodes. The method also includes selecting a plurality of positive samples through random walks along the one or more paths of the encoded graph, selecting a plurality of negative samples from the encoded graph by randomly sampling the one or more nodes of the encoded graph, determining a loss value, and updating, based on the loss value, one or more learnable parameter values of the machine learning model.

Abstract: An apparatus and method for inline scanned image enrichment is provided. The apparatus includes a computing device configured to receive a plurality of subject data, generate a candidate set to model the scan focal points from, digitally capture the slide using the identified focal points through machine-learning processes, processing the captured image to optimize its viewability, and storing the captured image in an accessible repository.

Abstract: A system for color gamut normalization for pathology slide is disclosed. The system includes at least a computing device, wherein the computing device is configured to generate a plurality of segmentations of a whole slide image, wherein the whole slide image includes a plurality of biological tissue type variabilities. The computing device is configured to apply a segment-specific transformation to an individual segment in a first region. The computing device is configured to apply the segment-specific transformation to an individual segment in a second region. The computing device is configured to retrieve a plurality of discrete magnification levels from a user. The computing device is configured to choose as a first magnification level from the plurality of discrete magnification levels, and the computing device is configured to store the plurality of segmentations in a cache.

Abstract: A system for color gamut normalization for pathology slide is disclosed. The system includes at least a computing device, wherein the computing device is configured to generate a plurality of segmentations of a whole slide image, wherein the whole slide image includes a plurality of biological tissue type variabilities. The computing device is configured to apply a segment-specific transformation to an individual segment in a first region. The computing device is configured to apply the segment-specific transformation to an individual segment in a second region. The computing device is configured to retrieve a plurality of discrete magnification levels from a user. The computing device is configured to choose as a first magnification level from the plurality of discrete magnification levels, and the computing device is configured to store the plurality of segmentations in a cache.

Abstract: An instrument to prepare and safely place an intra-uterine device in uterus of a woman, comprising a dynamic stopper, a string management arrangement whereby a string of an IUD is in one of a locked condition or an unlocked condition, an operating device, further comprising a base, a cover a carriage, wherein the dynamic stopper slidably resides in the base and can slide by the sliding length, wherein the string exits from an outpoint and re-enters from an inpoint, the outpoint is at a trim length and the inpoint is at a conservative length. The string can be trimmed as per sounding measurement of uterus of woman, before inserting the instrument in uterus and string entanglement possibilities are eliminated, irrespective of type of IUD.

Abstract: An Artificial Intelligence (AI)-based data processing system processes current data to determine if the quality of the current data is adequate to be provided to data consumers and if the quality is adequate, the current data is further analyzed to determine if an impacted load including changes to dimension data of the current data or an incremental load including changes to fact data of the current data is to be provided to the data consumers. Depending on the amount of data to be provided to the data consumers, processing units (PUs) may be determined and assigned to carry out the data upload. Various machine learning (ML) models that are used to provide predictions from the current data are analyzed to determine the quality of predictions and if needed, can be automatically retrained by the data processing system.

Abstract: Computer-implemented systems and methods for training a decentralized model for making a personalized recommendation.

Abstract: The system comprises a prediction module (1) equipped with artificial intelligence to predict neurological disorders in an individual patient and identify a level of neurological disorders; a central processing unit (2) to detect triggering events and circumstances due to which the neurological disorders trigger in an individual patient upon receiving real-time behavior information data generated by a playing ball (3) of an individual patient and distinguish between a normal behavior and a neurological disorders behavior; an alert module (4) to alert the individual patient upon determining neurological disorders behavior; and an entertainment platform (5) to entertain and engage the individual patient with a specific set of activities assigned according to detected triggering events and circumstances upon determining the neurological disorders behavior, wherein a specific set of activities includes listening to music, playing games, and talking to an AI chatbot.

Abstract: Systems and methods for automated message delivery feedback that includes receiving a plurality of messaging requests to transmit a plurality of messages to a plurality of recipient devices, identifying subsets of related messaging requests in the plurality of messaging requests, receiving a plurality of delivery feedbacks for the plurality of messages, for each of the subsets of the related messaging requests, determining, based on the plurality of delivery feedbacks, whether to initiate at least one repeated transmission of a respective message to at least one recipient device, and upon determining to initiate the at least one repeated transmission, monitoring a delivery status of the respective message to the at least one recipient device.

Abstract: Systems and methods for entity recommendation can make use of rich data by allowing the items to be recommended and the recipients of the recommendation (e.g., users) to be modeled as “complex entities” composed of one or more static sub-entities and/or a dynamic component, and by utilizing information about multiple relationships between the sub-entities as reflected in bipartite graphs. Generating recommendations from such information may involve creating vector representations of the sub-entities based on the bipartite graphs (e.g., using graph-based convolutional networks), and combining these vector representations into representations of the items and users (or other recipients) to be fed into a classifier model.

Abstract: Systems and methods for processing inputs using attention neural networks with tree attention layers. Each tree attention layer includes one or more tree attention sub-layers that are each configured to: process query vectors using a decision tree model for the tree attention sub-layer to determine a respective tree path for each query vector; process key vectors using the decision tree model to determine a respective tree path for each key vector; and generate an attended input sequence comprising a respective attended input at each of the plurality of input positions, comprising: generating, for each particular input position, the respective attended input at the particular input position based on (i) the tree path for the query vector at the particular input position (ii) the respective tree paths for the key vectors at each of the plurality of input positions and (iii) the value vectors at a subset of the input positions.

Abstract: Methods and systems for aligning amplification gains in a plurality of interconnected devices are disclosed. The method includes receiving by each device limiter gain attenuations and brownout gain attenuations broadcasted by the plurality of devices and selecting the maximum brownout gain attenuation and the maximum limiter gain attenuation. The method includes determining a total attenuation as a sum of the maximum brownout attenuation gain and the maximum limiter attenuation gain. The method includes receiving a frame synchronization signal and adjusting the amplification gain by applying the total attenuation responsive to the frame synchronization signal.

Abstract: Systems and methods for automated message delivery feedback that includes receiving a set of messaging requests to transmit a message to at least one recipient device; making a set of messaging attempts, each of the set of messaging attempts including an attempt to deliver the message to the at least one recipient device; receiving delivery feedback and automatically associating the delivery feedback to one messaging attempt of the set of messaging attempts; and updating a delivery status of the at least one messaging attempt.