Abstract: A semiconductor device includes a plurality of built-in memories, and each of the built-in memories includes a plurality of memory cells. Each built-in memory includes a selector circuit that connects a selected memory cell among the memory cells to an outside, a memory cell relief circuit that, when a fault has occurred in one of the memory cells, transmits, to the selector circuit, a relief signal configured to connect a normal memory cell to the outside without connecting the one of the memory cells in which the fault has occurred, to the outside, and switches selection in the selector circuit, and an abnormality detection circuit that performs abnormality detection for the memory cell relief circuit, based on a temporal change in the relief signal output from the memory cell relief circuit.

Abstract: Provided are a memory device and a memory controller, which are configured to repair a weak word line, and a method of operating a storage device including the memory device and the memory controller. A memory device includes a memory cell array including a plurality of normal word lines and at least one spare word line, and a repair controller configured to set memory cells connected to at least one weak word line to a first operation mode and further configured to set memory cells connected to the at least one spare word line to a second operation mode. The at least one weak word line is detected from among the normal word lines based on a test result.

Abstract: Described herein are embodiments related to first-pass continuous read level calibration (cRLC) operations on memory cells of memory systems. A processing device determines that a first programming pass of a programming operation has been performed on a memory cell of a memory component. The processing device then adjusts a read level threshold of the memory cell to be centered between a first programming distribution and a second programming distribution before the second programming pass of the programming operation is performed on the memory cell.

Abstract: A semiconductor device includes: a memory circuit having a plurality of quadrants arranged at corners of the memory circuit and surrounding a bank control component; wherein a first quadrant of the plurality of quadrants includes a first bit cell core and a first set of input output circuits configured to access the first bit cell core, the first quadrant defined by a rectangular boundary that encloses portions of two perpendicular edges of the memory circuit; wherein a second quadrant of the plurality of quadrants includes a second bit cell core and a second set of input output circuits configured to access the second bit cell core, the second quadrant being adjacent the first quadrant, wherein a border between the first quadrant and the second quadrant defines a first axis about which the first quadrant and the second quadrant are symmetrical.

Abstract: Various memory cell structures and power routings for one or more cells in an integrated circuit are disclosed. In one embodiment, different metal layers are used for power stripes that are operable to connect to voltage sources to supply different voltage signals, which allows some or all of the power stripes to have a larger width. Additionally or alternatively, fewer metal stripes are used for signals in a metal layer to allow the power stripe in that metal layer to have a larger width. The larger width(s) in turn increases the total area of the power stripe(s) to reduce the IR drop across the power stripe. The various power routings include connecting metal pillars in one metal layer to a power stripe in another metal layer, and extending a metal stripe in one metal layer to provide additional connections to a power stripe in another metal layer.

Abstract: A voltage regulator for providing a word line voltage is provided. The voltage regulator includes a voltage divider, a comparator, a boost circuit and a bypass transistor. The voltage divider is coupled between the word line voltage and a low reference voltage. The voltage divider includes resistive elements connected in series at intermediate nodes. The comparator provides an enable signal according to a divided voltage value on a divided intermediate node among the intermediate nodes. The boost circuit boosts the word line voltage in response to the enable signal. A source terminal of the bypass transistor is connected to a first intermediate node among the intermediate nodes. A drain terminal of the bypass transistor is connected to a second intermediate node among the intermediate nodes. The bypass transistor is turned-off in response to the control signal having an intermediate voltage value on the first intermediate node.

Abstract: A semiconductor system includes a semiconductor apparatus and a control device. The semiconductor apparatus performs a preset operation in response to a command signal. The control device controls a temperature adjustment operation so that first temperature information and second temperature information correspond to each other.

Abstract: A processing-in-memory (PIM) system includes a first and second PIM devices and a host. Each of the first and second PIM devices includes a plurality of multiplying-and-accumulating (MAC) operators and a plurality of memory banks supplying weight data to the plurality of MAC operators. The host controls the first and second PIM devices and includes a data buffer. The first and second PIM devices include a first global buffer and a second global buffer, which supply the vector data to the plurality of MAC operators, respectively. The host reads the vector data out of the first and second PIM devices to store the vector data into the data buffer and writes the vector data stored in the data buffer into the first and second global buffers.

Abstract: Prior knowledge of access pattern is leveraged to improve energy dissipation for general matrix operations. This improves memory access energy for a multitude of applications such as image processing, deep neural networks, and scientific computing workloads, for example. In some embodiments, prior knowledge of access pattern allows for burst read and/or write operations. As such, burst mode solution can provide energy savings in both READ (RD) and WRITE (WR) operations. For machine learning or inference, the weight values are known ahead in time (e.g., inference operation), and so the unused bytes in the cache line are exploited to store a sparsity map that is used for disabling read from either upper or lower half of the cache line, thus saving dynamic capacitance.

Abstract: The present technology may include a first detection unit configured to generate an output signal by detecting a level of an input terminal in response to a transition of a control clock signal during a normal read operation, and a second detection unit configured to generate the output signal by detecting the level of the input terminal regardless of the transition of the control clock signal during a state information read operation.

Abstract: Apparatuses and methods for setting a duty cycler adjuster for improving clock duty cycle are disclosed. The duty cycle adjuster may be adjusted by different amounts, at least one smaller than another. Determining when to use the smaller adjustment may be based on duty cycle results. A duty cycle monitor may have an offset. A duty cycle code for the duty cycle adjuster may be set to an intermediate value of a duty cycle monitor offset. The duty cycle monitor offset may be determined by identifying duty cycle codes for an upper and for a lower boundary of the duty cycle monitor offset.

Abstract: A memory device and an operating method for computing-in-memory (CIM) are provided. The memory device for CIM comprises a plurality of memory banks and a global multiply accumulate (MAC) circuit. Each of the memory banks comprises a first memory array, a first latch circuit, a second latch circuit and a local MAC circuit. The first latch circuit latches a first data from the first memory array in a first read cycle. The second latch circuit latches a second data from the first memory array in a second read cycle. The local MAC circuit performs a first stage CIM operation on a first latched data latched in the first latch circuit and the second latched data latched in the second latch circuit to provide a first stage CIM result. The global MAC circuit performs a second stage CIM operation on a plurality of first stage CIM results from the memory banks.

Abstract: A system includes a plurality of host processors and a plurality of HMC devices configured as a distributed shared memory for the host processors. An HMC device includes a plurality of integrated circuit memory die including at least a first memory die arranged on top of a second memory die and at least a portion of the memory of the memory die is mapped to include at least a portion of a memory coherence directory; and a logic base die including at least one memory controller configured to manage three-dimensional (3D) access to memory of the plurality of memory die by at least one second device, and logic circuitry configured to determine memory coherence state information for data stored in the memory of the plurality of memory die, communicate information regarding the access to memory, and include the memory coherence information in the communicated information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for governing phenotypic outcomes in plants. One method includes obtaining a model input comprising time series data, wherein the time series data comprises, for each previous time point of one or more previous time points, at least one of i) first multi-omics data corresponding to a plant at the previous time point, or ii) phenotypic data corresponding to the plant at the previous time point; and processing the model input using a machine learning model to obtain a model output that comprises, for each future time point of one or more of future time points, a prediction of at least one of i) a phenotype of the plant at the future time point, or ii) second multi-omics data corresponding to the plant at the future time point.

Abstract: The technology disclosed relates to generating ground truth training data to train a neural network-based template generator for cluster metadata determination task. In particular, it relates to accessing sequencing images, obtaining, from a base caller, a base call classifying each subpixel in the sequencing images as one of four bases (A, C, T, and G), generating a cluster map that identifies clusters as disjointed regions of contiguous subpixels which share a substantially matching base call sequence, determining cluster metadata based on the disjointed regions in the cluster map, and using the cluster metadata to generate the ground truth training data for training the neural network-based template generator for the cluster metadata determination task.

Abstract: The invention relates to a computer-implemented Bayesian inference method for performing Bayesian inference in a Bayesian network, which includes a continuous child node (3) and its discrete parent node (2) having two states. Being provided with a calibrated continuous probability distribution of the observations of the child node (3) for each of the two states of the parent node (2), the inferring for a new observation of the child node (3) for which the state of the parent node (2) is not known of the probability of at least a first state of the parent node (2) makes use of masses of portions of the probability distributions that depend on a locational relationship of the probability distributions and the value of the new observation. This may ensure that the inferred probability of the first state of the parent node (2) monotonically changes with monotonically changing values of the new observation.

Abstract: The present invention provide a method of constructing a ligand-receptor protein complex to determine the binding activity of different PBDEs derivatives to an enoyl-ACP reductase. The method comprises providing a ligand-receptor binding complex, molecular docking and performing molecular dynamic simulation. The present invention is able to determine the binding activity of PBDEs derivatives to the enoyl-ACP reductase comparable to the results obtained in vitro.

Abstract: A system and method for identifying potential targets for a pharmaceutical compound. The system includes a database arrangement operable to store existing data sources and information related to the pharmaceutical compound; and a processing module communicably coupled to database arrangement. The processing module is operable to receive information related to the pharmaceutical compound, wherein the information includes at least one known target associated with the pharmaceutical compound; extract plurality of targets from existing data sources, wherein the existing data sources comprise plurality of data records and wherein each of the plurality of targets is associated with the pharmaceutical compound in at least one data record; analyse druggability of each of plurality of targets to determine a preliminary set of targets; determine net score for each of the targets in preliminary set of targets; and designate targets with a net score above a predefined threshold, as potential targets.

Abstract: A method according to a set of instructions stored on the memory of a computing device includes receiving from a plurality of measure storage devices, by a processor of the computing device, a plurality of measures pertaining to at least one patient and at least one clinical measure of the at least one patient. The plurality of measure storage devices are associated with at least one of a plurality of healthcare providers. The method further includes determining, by the processor, a patient-centered quality measure indicating quality across the plurality of healthcare providers with respect to the at least one patient and the at least one clinical measure.

Abstract: A disclosed method includes receiving an emergency data request with a patient identifier; retrieving protected data from a database corresponding to the patient identifier; and displaying the protected data on an emergency responder device display.

Abstract: Ultra-Wideband (UWB) wireless technology transmits digital data as modulated coded impulses over a very wide frequency spectrum with very low power over a short distance. To support extended operation, particularly with battery power sources, the inventors have established UWB devices which support wake-up from deep sleep modes when these devices exploit low frequency clock sources for ultra-low power consumption. Further, power consumption may be reduced by exploiting transistors or so-called compounded MOSFET structures whose effective gain and output resistance exceeds any single transistor irrespective of length or by employing biasless low power differential (exponential) transconductance stages within operational transconductance amplifiers in order to provide very high gain low power amplification stages. Further, the inventors have established voltage reference sources that consume very low current, a few nA, and ultra-low power low dropout regulators.

Abstract: Systems and methods are described, and an example system includes an AI enhanced multi-source health data integration logic that receives a first source electronic health record (EHR) data from a first EHR system and a second source EHR data from a second EHR system, and transforms, according to a knowledge representation schema, health-related information content of the first source EHR data and the second source EHR data to a first source transformed health data and second source transformed health data. The system includes a collaboration platform, configured to host a multi-source transformed health data database, including the transformed first source health data and the transformed second source health data, and hosts AI-enhanced, multiple level telecollaborative analyses by a plurality of participants of the multi-source transformed health data database, generating health management data.

Abstract: Systems and methods provide for implementation of a messaging protocol that provides security necessary for clinical messaging while also providing scalability needed to properly function within a clinical setting. The messaging protocol provides for federation of messages across messaging domains with a direct target address or via a role or group endpoint address that resolves to one or more target addresses. The messaging protocol also provides the ability to include content other than text in messages.

Abstract: Certain embodiments are directed to systems and methods for automatically providing data indicative of one or more characteristics of services that may be recommended to a particular patient, wherein the services are executable at least in part electronically based on data generated and provided by a system for facilitating access to the services. The generated data may be utilized for generating one or more user interfaces providing data regarding derived standard pricing data that is automatically assigned to the referred services and which may be attributable to a patient based at least in part on the patient's usage of the services.

Abstract: Systems and methods for medication fillings management are disclosed. For example, user information and/or refill schedules associated with users may be utilized to predict which users are likely to miss a medication refill. The presently disclosed systems and methods may determine health indicators associated with users and, by utilizing one or more machine learning techniques, determine which health indicators, alone or in combination, are associated with users prone to missing refills. As such, the system may predict users that are likely to miss a refill and may generate preemptive, targeted refill reminders in order to prevent the missed refill before it occurs.

Abstract: A medical supply cabinet includes a housing; a medical supply cabinet identifying radio frequency identification tag located on the housing; and a plurality of medical supply packages, each medical supply package containing a specific medical supply. Each medical supply package includes a discarded portion created when the medical supply package is opened. The discarded portion of the medical supply package includes a medical supply package radio frequency identification tag identifying the specific medical supply associated with the medical supply package.

Abstract: Methods of selecting a therapeutic agent to treat a cancer in a subject comprising receiving a plurality of protein data element values representing levels of the proteins in a biological sample from the subject, classifying each protein as a member of a process class, for each process class calculating a process score that represents the prominence of the process class to cancer treatment resistance and selecting at least one therapeutic agent that targets a selected process based on the process score. Systems for selecting a therapeutic agent are also provided.

Abstract: A method includes obtaining prescribing drug information and published guidelines for each of a plurality of ADMs available for managing glucose levels, and receiving patient information associated with a patient. The method also includes ordering total demerit values from lowest to highest, selecting a predetermined number of recommended ADMs associated with the lowest total demerit values, and determining a recommended dosage for each recommended ADM. The method also includes transmitting a therapy regimen to a patient device associated with the patient. The therapy regimen includes the recommended ADMs and the recommended dosage for each recommended ADM.

Abstract: Infusion systems including infusion devices and consumables and related operating methods are provided. An exemplary consumable component includes a housing, a reservoir contained within the housing, a pumping mechanism for dispensing a fluid from the reservoir, and a readable element associated with the housing. The readable element maintains calibration data characterizing a relationship between delivery of the fluid and actuation of the pumping mechanism.

Abstract: A machine for extracorporeal blood treatment includes a user interface having a touch screen and a controller programmed to display on a screen (16) a display in which two distinct areas are arranged, one of which (161) exhibits a series of touch keys (17), wherein activation of any one touch key (17) causes visualization of an image in a second area (162) of the screen, wherein the images are displayed alternatively and are at least partly different one from another, wherein each touch key (17) is associated to an instruction, or to a group of instructions, each concerned with readying the machine for use, wherein each image is a pictograph of a configuration of the machine, correlated with an instruction associated to the touch key (17) selected, and wherein the operator is aided in making the machine ready for treatment.

Abstract: The invention pertains to a stationary exercise bike along with a display that provides instruction to lead a rider through an exercise program. The invention allows a rider to obtain benefits of a group, instructor-led class though the rider's schedule does not permit the rider to participate in the class. The invention also describes a method of exercising with the foregoing bike and display.

Abstract: A method for optimizing orthopedic spinal implant survival using preoperative finite element analysis combined with intraoperative stress analysis. Based on clinically relevant data, finite element analysis, and corrected values of spinal parameters, an acceptable long-term stress score is determined for an appropriate implant, which is selected from a set of potential implants, such that the shape of the implant minimizes predicted stress values. From a preoperative medical image set, values of selected spinal alignment parameters are determined; finite element analysis is performed on potential implants to determine stress values; and a selected implant is digitally positioned in the medical image set to create a virtual bone/implant configuration. After the selected implant is inserted and bent to shape, actual stress values are measured intraoperatively.

Abstract: Methods, apparatuses, and systems for edge computing for robotic telesurgery using artificial intelligence are disclosed. A robotic surgical system includes surgery equipment and can communicate via a cloud network. The system can include operation room (OR) equipment and a surgical computer. The surgical computer transfers data between a remote surgeon, the OR equipment, and the surgery equipment. The surgical computer receives, using the OR equipment and the surgery equipment, data related to a surgical procedure. The data is related to the surgical procedure and is computed using artificial intelligence (AI). The surgical computer determines a risk assessment based on data related to the surgery equipment. The surgical computer sends an indication of the determined risk assessment to the remote surgeon.

Abstract: The various embodiments of the method of the present invention include a method to improving or expanding the capacity of a sleep analysis unit or laboratory, a method sleep analysis testing a patient admitted for diagnosis or treatment of another primary medical condition while being treated or diagnosed for that condition, a method of sleep analysis testing a patient that cannot be easily moved or treated in a sleep analysis unit or laboratory and other like methods.

Abstract: The present disclosure relates to a method for patient-specific optimization of imaging protocols. According to an embodiment, the present disclosure relates to a method for generating a patient-specific imaging protocol, comprising acquiring scout scan data, the scout scan data including scout scan information and scout scan parameters, generating a simulated image based on the acquired scout scan data, deriving a simulated dose map from the generated simulated image, determining image quality of the generated simulated image by applying machine learning to the generated simulated image, the neural network being trained to generate at least one probabilistic quality representation corresponding to at least one region of the generated simulated image, evaluating the determined image quality relative to a image quality threshold and the derived simulated dose map relative to a dosage threshold, optimizing.

Abstract: An electronic record management system includes a server and a plurality of electronic record display terminals in electronic communication with the server. Each electronic record display terminal includes a monitor screen. The server stores a list of cases each with an associated case identifier, stores a list of staff members each with an associated staff identifier, and stores documents associated with each case. The server creates an electronic sticky note and a display format of the electronic sticky note. The server electronically communicates with at least one of the electronic record display terminals to cause the monitor screen of the at least one electronic record display terminal to display an electronic record of one of the cases along with the electronic sticky note overlaid over a portion of the electronic record.

Abstract: Technologies and techniques for operating a resource management system for medical software applications. Profile parameters of a first health care facility are received and processed to select one of a plurality stored profile data that contain profile parameters having a threshold similarity to the profile parameters for the first health care facility. A system resource manager loads resource management data associated with the selected profile data, wherein the resource management data comprises data relating to capabilities and capacities of the health care facility associated with the selected profile data. A systems intelligence manager performs predictive processing on the resource management data of the selected profile data to determine via simulation if the resource management data meets a threshold. The resource management data of the selected profile data is transmitted to the first health care facility for execution in the resource management software and updated using feedback data.

Abstract: A resource management system for medical software applications. Profile parameters of a first health care facility are received and processed to select one of a plurality stored profile data that contain profile parameters having a threshold similarity to the profile parameters for the first health care facility. A system resource manager loads resource management data associated with the selected profile data, wherein the resource management data comprises data relating to capabilities and capacities of the health care facility associated with the selected profile data. A systems intelligence manager performs predictive processing on the resource management data of the selected profile data and feedback data to update resource management data. The resource management data and updates of the selected profile data is transmitted to the first health care facility for execution in the resource management software.

Abstract: Systems and methods for intraoral scanning include determining, by an appointment management system, a condition that dental impressions have not been received from a user within a threshold time period where the user was provided with an in-home dental impression kit, generating and communicating a message to the user based on the condition where the message prompts the user to schedule an appointment at an intraoral scanning site, receiving a request to schedule an appointment at the intraoral scanning site where the intraoral scanning site has an intraoral scanner configured to conduct an intraoral scan of a mouth of the user, and conducting the intraoral scan using the intraoral scanner at the intraoral scanning site where the intraoral scan generates three-dimensional data of the mouth of the user.

Abstract: Techniques are disclosed for coordinating service for a user assigned to a service unit of a service facility. The techniques include receiving user data associated with the user, or resource status data associated with a status of a resource. The techniques further include determining a classification of the user based on the user data, the classification corresponding to a condition or service status of the user. The user may then be assigned to a user group based on the classification of the user. The user group may be associated with a recommendation for treating the user. The resource may also be assigned to a resource group based on the resource status data. The techniques further include generating a visual representation of at least a portion of the service unit based on the assigned user group or assigned resource group, and providing the visual representation to a user device for presentation.

Abstract: A remote control for controlling a medical apparatus having at least one driven movable components is provided. The remote control comprises a sensor configured to detect a position and a motion of the remote control, and at least one release switch. The remote control is configured to emit a control signal capable of controlling a motion of the at least one driven movable component according to a motion of the remote control detected by the sensor when a control of the motion of the at least one driven movable component is released by actuating the at least one release switch.

Abstract: A healthcare management system for a healthcare team caring for a patient to serve a healthcare need of the patient includes a wearable sensor worn by the patient for obtaining healthcare data from the patient; a healthcare clinical system having an healthcare analysis subsystem for analyzing the healthcare data; and a relay device in communication selectively with the wearable sensor and the healthcare clinical system. The healthcare analysis subsystem includes an artificial intelligence (AI) engine, the AI engine having a plurality of clinical analysis modules, each clinical analysis module is directed to a respective predetermined medical area, the respective clinical analysis module analyzing the healthcare data with a respective learned algorithm directed to the respective predetermined medical area.

Abstract: A telemedicine platform utilizes artificial intelligence to match patients with practitioners. The platform includes a virtual assistant operable to automatically generate responses to a patient using machine learning in order to further identify details regarding the patient's symptoms and needs. The virtual assistant includes a digitally generated human face that automatically adapts mouth-movements and facial expressions to match the automatically generated responses in order to provide a feeling of interacting with a human assistant. The platform includes a patient interface, for identifying physicians and scheduling appointments, a practitioner interface, for managing patients and scheduling issues, and an administrator interface, for managing a larger practice of multiple practitioners.

Abstract: Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

Abstract: A computer-implemented method for determining a biological test to be performed on a biological subject in order to determine the biological condition of the biological subject, and a corresponding system and computer program. Disclosed technology creates a basis representation for a set of biological symptoms, reads input data obtained from a biological subject whose biological condition is to be determined, generates a representation of the input data in the created basis representation, applies a predictive model to the representation of the input data in order to obtain a probability distribution that parameters included in the input data corresponds to a specific biological condition.

Abstract: A computer device obtains a plurality of medical images. The device generates a texture image based on image data of a region of interest in the medical images. The device extracts a local feature from the texture image using a first network model. The device extracts a global feature from the medical images using a second network model. The device fuses the extracted local feature and the extracted global feature to form a fused feature. The device performs image classification based on the fused feature.

Abstract: Apparatus for assessing medical risks of a patient includes an analytics engine and equipment that provides data to the analytics engine. The analytics engine analyzes the data from the equipment to determine a sepsis risk score, a falls risk score, and a pressure injury score. The apparatus further include displays that are communicatively coupled to the analytics engine and that display the sepsis, falls, and pressure injury risk scores. The displays include a status board display located at a master nurse station, an in-room display provided by a room station of a nurse call system, an electronic medical records (EMR) display of an EMR computer, and a mobile device display of a mobile device of a caregiver assigned to the patient.

Abstract: The description relates to a system for assessing the functional performance of an individual, the system comprising a sensor device; a monitoring system, connectable to the sensor device, configured to receive signals coming from the sensor device, pre-process the signals received from the sensor device, extract the main features of the pre-processed signals to be used as predictor variables, assess the functional performance of an individual based on the predictor variables.

Abstract: In an aspect an apparatus for determining toxic load quantifiers is presented. An apparatus includes at least a processor and a memory communicatively connected to the at least a processor. A memory contains instructions configuring at least a processor to receive user input comprising user data. At least a processor is configured to generate a query as a function of user data. At least a processor is configured to obtain query results as a function of a query. At least a processor is configured to determine a toxic load quantifier of a query results of query results as a function of a toxicity criterion and user data. At least a processor is configured to display a toxic load quantifier of query results to a user.

Abstract: A system for modeling a necrotized tissue volume in an ablation procedure includes a radiology workstation designed and configured to provide a computer model of a volume of human tissue based on corporeal image data, simulate an ablation site in the computer model, detect, in the computer model, at least a preferential pathway for heated vapor produced due to ablation of the tissue, wherein the at least a preferential pathway intersects the ablation site, determine a proportion of vapor escaping to the at least a preferential pathway during an ablation procedure, determiner a heat distribution at the ablation site as a function of the distribution of vapor, and generate a simulation of a necrotized tissue volume in the volume of tissue, wherein the simulation of the necrotized tissue volume represents a volume of tissue necrotized by heat during an ablation procedure performed at the ablation site.