Abstract: A 3-dimensional array of NOR memory strings being organized by planes of NOR memory strings, in which (i) the storage transistors in the NOR memory strings situated in a first group of planes are configured to be programmed, erased, program-inhibited or read in parallel, and (ii) the storage transistors in NOR memory strings situated within a second group of planes are configured for storing resource management data relating to data stored in the storage transistors of the NOR memory strings situated within the first group of planes, wherein the storage transistors in NOR memory strings in the second group of planes are configured into sets.

Abstract: The memory device includes a plurality of memory cells which are arranged in an array. The memory device further includes a plurality of bit lines that are coupled with the memory cells and a controller. The controller is configured to program the memory cells from an erased data state to three programmed data states in a programming operation that includes three programming pulses and zero verify operations using different patterns to dictate the application of inhibit voltages to the bit lines during each of the three programming pulses. The patterns include two pre-established patterns and additional patterns that are derived from the pre-established patterns using logic operations.

Abstract: A semiconductor memory apparatus includes: a page buffer circuit, a pass/fail determination circuit, and an operation control circuit. The page buffer circuit may include a sensing latch circuit and a data latch circuit. The pass/fail determination circuit determines a pass/fail for a memory cell. The operation control circuit controls a program operation and a program verify operation to be performed on the memory cell.

Abstract: A readout method of a memory module of a substrate including the memory module including an anti-fuse element, and a function module connected in parallel with the memory module and including a resistance element, including setting the function module to a conducted state when reading out the memory module, setting the function module from the conducted state to an open state following the setting the function module to the conducted state, and reading out a terminal voltage of the anti-fuse element by setting the memory module to the conducted state following the setting the function module from the conducted state to the open state.

Abstract: A circuit and method for testing a memory chip are provided. The circuit for testing a memory chip includes: a data reading apparatus configured to read word line data stored in all banks of a tested memory; a first comparison module, configured to receive word line data stored in one tested word line, perform a comparison test on each bit data in the word line data stored in the tested word line, and output a first test result; a second comparison module, configured to receive the first test results of all the tested word lines in one bank, and compress the first test results into a second test result; a third comparison module, configured to receive the second test result of each bank, and compress all the second test results into an N-bit final test result; and a register apparatus configured to read and save the final test result.

Abstract: Provided are a method for testing a memory chip, an apparatus for testing a memory chip, a computer-readable storage medium and an electronic device, which relate to the field of semiconductor technology. The method includes: determining a memory block corresponding to each of cores in a multi-core processor, the memory block being a local memory area comprising a part of memory cells in the memory chip; and performing a read-write test on the corresponding memory block by means of each of the cores in the multi-core processor, and determining a test result of the memory chip according to a test result of each of memory blocks obtained from the test. Utilization rate of the multi-core processor is improved, and test efficiency of the memory chip is improved.

Abstract: A repair system and a repair method for a semiconductor structure, a storage medium, and an electronic device are provided. The semiconductor structure includes a main memory area and a redundant memory area. The repair system of the present disclosure includes a test circuit, a control circuit, and a repair circuit. The test circuit is configured to perform defect detection on the main memory area to determine a failed cell of the main memory area and position information of the failed cell. The control circuit is connected to the test circuit, and is configured to store the position information of the failed cell and generate a repair signal according to the position information. The repair circuit is connected to the control circuit, and is configured to receive the repair signal and perform a repair operation on the failed cell through the redundant memory area.

Abstract: There are provided a method for testing failure of a memory, an apparatus for testing failure of a memory, a computer-readable storage medium, and an electronic device. The method for testing failure of a memory includes: writing preset storage data into a storage array of the memory (S310); raising a bit line voltage, and controlling a part of word lines of the storage array to enter a test mode (S320); exiting the test mode after waiting for preset time (S330); turning off sense amplifiers corresponding to a preset part of bit lines, and reading data from a remaining part of the bit lines (S340); comparing the data read from the remaining part of the bit lines with the preset storage data to obtain a comparison result (S350); and determining a failure state of the memory according to the comparison result (S360).

Abstract: An example method for scan-based voltage frequency scaling can include performing a plurality of at-speed scan operation on a system on chip (SoC) at a plurality of respective voltage values. The example method can include entering data gathered from at least one of the plurality of at-speed scan operations into a database. The entered data is associated with the respective plurality of voltage value. The example method can include determining a particular voltage value of the respective plurality of voltage values at which a parameter of the SoC reaches a threshold. The example method can include indicating the determined particular voltage in the database. The indicated determined particular voltage in the database can be used for performing one or more operations using the SoC.

Abstract: A controller can be configured to enable a host to control media testing on a memory device. The interface between the host and the memory can be abstract, such that the host does not have direct control over the memory. Instead, the controller can provide translation between a host protocol, such as compute express link (CXL), and a memory protocol, such as a protocol to control a dual data rate (DDR) interface. The controller can enable media test capability discovery, configuration, and/or control for the host. The controller can enable media test result reporting from the memory to the host.

Abstract: Embodiments of the disclosure are drawn to apparatuses and methods for dynamic column select swapping. A memory may have a number of sets of bit lines organized into column planes. If a set of bit lines associated with a first address in a first column plane is defective, it may be repaired by reassigning the first address to a redundant set of bit lines in a global column redundant (GCR) column plane. If a set of bit lines associated with the first address in a second column plane is also defective, then swap logic of the memory may swap the first address to a second address and assign it to the set of bitlines in the second column plane. The second address may then also be repaired by being reassigned to the GCR column plane.

Abstract: Disclosed herein is an apparatus that includes first register circuits configured to store a first address, and a comparing circuit configured to compare the first address with a second address. The comparing circuit includes first and second circuit sections. In a first operation mode, the comparing circuit is configured to activate a match signal when the first circuit section detects that the first bit group of the first address matches with the third bit group of the second address and the second circuit section detects that the second bit group of the first address matches with the fourth bit group of the second address. In a second operation mode, the comparing circuit is configured to activate the match signal when the first circuit section detects that the first bit group matches with the third bit group regardless of the second and fourth bit groups.

Abstract: A method and a device for calibrating a measuring device configured to measure a liquid (MX) comprising colloidal particles. A calibrating function is selected among a plurality of fitting functions. A group of fitting functions are constructed by utilizing different combinations of measurement data. The calibration function is the one with the smallest maximum error.

Abstract: Provided are methods of simulating muscular tissue, in particular a heart. The computer-implemented method of simulating a heart for a virtual patient comprises establishing a heart model with an electromechanical aspect and an electrophysiological aspect, where the heart model comprises a three-dimensional model of a heart comprising a plurality of functional elements. A plurality of tissue types to be included within the heart model are defined. For each tissue type, an associated cell model for a functional element to be associated with that tissue type is defined. Each cell model comprises a system of ordinary differential equations describing properties for that tissue type, at least describing cell kinetics for ion channels of that tissue type. A plurality of input physiological parameters are determined for the virtual patient, wherein each of the physiological parameters lies within an observed range in a human population.

Abstract: Disclosed is a system for gaining mechanistic insights into action of a drug using in-silico techniques. The system is communicably coupled to a phenotype ontological databank; wherein the system comprises a processor communicably coupled to a memory. The processor is configured to receive a first input of the drug, receive a second input relating to at least one phenotype associated with the drug, identify targets of the drug to obtain a drug target list, determine phenotypic targets of the drug, compare the drug target list with the phenotypic targets of the drug to identify a plurality of overlapping targets therebetween, generate a Drug-Target-Phenotype (DTP) network using the plurality of overlapping targets, compute relevant pathways by performing Signaling Pathway Impact Analysis (SPIA) for the plurality of overlapping targets, generate a Pathway-Target-Phenotype (PTP) network, and compute mechanistic insights into the action of the drug from the analysis of PTP network.

Abstract: Atherosclerotic plaque phenotyping by image data analysis, e.g., using conventional computed tomography angiography (CTA) or other imaging modalities can elucidate the molecular signature of atherosclerotic lesions on a per-patient basis.

Abstract: A system for identifying biomolecules with a desired property comprises a computer-readable medium with instructions stored thereon, which when executed by a processor perform steps comprising collecting a quantity of biomolecular data, transforming the biomolecular data from a sequence space to a latent space representation of the data, compressing the latent space representation using a pooling mechanism, compressing the coarse representation of the biomolecular data using an informational bottleneck, calculating a fitness factor of each data element in the low-dimensional representation of the biomolecular data, choosing a point from within the low-dimensional representation of the biomolecular data, calculating a set of gradients of the fitness factor, selecting an adjacent point having the highest gradient and setting it as the first point, then repeating the gradient calculating step until the fitness factor reaches a convergence point.

Abstract: A system and method for selecting candidate drug compounds for a disorder through Artificial Intelligence (AI)-based drug repurposing is disclosed. The method includes extracting data including target protein-protein interaction complex corresponding to disorder from databases through Natural Language Processing (NLP) algorithm; generating semantic knowledge graph for disorder based on extracted data to identify a set of lead compounds; assigning initial rank to each of set of lead compounds based on historical clinical information and semantic knowledge graph, through predictive model; for each of set of lead compounds, determining binding affinity score through AI-based encoder-decoder model; determining molecular structure stability score based on interaction of molecular structures through deep learning model; and assigning final rank to each of set of lead compounds based on binding affinity score, molecular structure stability score, and intermediate clinical trial data.

Abstract: The present invention relates to the prediction of drug metabolizing enzymes (DME) inhibitors. Inhibition of DMEs leads to adverse drug-drug interaction, hence predicting inhibition of DMEs by determined molecules is critical for preventing drug toxicity. Inventors elaborated a protocol of integrated in silico protein structure-based and machine learning approach to predict inhibition of DMEs. In particular, the present invention relates to a method for training a model for predicting inhibition of DMEs, comprising a selection of a number of descriptors among an initial set comprising physicochemical descriptors and binding energies on at least one enzyme configuration, and a training of a classification model on a learning database of known inhibitors or non-inhibitors based on the selected descriptors as inputs. This approach successfully predicted inhibition of CYP2C9, CYP2D6, SULT1A1, SULT1A3 and UGT1 A1.

Abstract: In variants, a method for genomic association can include: determining observed variable values and observed phenotype values for each organism in a population, removing information from variables of interest, determining a phenotype-variable association model, identifying causal variables associated with a phenotype, and/or any other suitable steps.

Abstract: In variants, a method for genomic association can include: determining observed variable values and observed phenotype values for each organism in a population, removing information from variables of interest, determining a phenotype-variable association model, identifying causal variables associated with a phenotype, and/or any other suitable steps.

Abstract: Methods, systems, and devices, including computer programs encoded on a computer storage medium are provided for genome-wide identification of pathogenic non-coding somatic mutations associated with tumorigenesis and cancer progression. A predictive deep learning model is provided that estimates the risk of cancer progression in an individual based on detection of pathogenic non-coding somatic mutations that alter tissue-specific chromatin structure resulting in gene regulatory changes that lead to tumor formation and cancer progression.

Abstract: Aspects of the disclosure relate to methods, systems, computer-readable storage media, and graphical user interfaces (GUIs) that are useful for characterizing subjects having certain cancers, for example bladder cancers or urothelial cancers. The disclosure is based, in part, on methods for determining the urothelial cancer (UC) tumor microenvironment (TME) type of a urothelial cancer subject and the subject’s prognosis and/or likelihood of responding to a therapy based upon the UC TME type determination.

Abstract: An object of the present invention is to provide a design method, a manufacturing method, a design device, a design program, and a recording medium of a primer for amplicon methylation sequence analysis, which can improve a design success rate of the primer.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for software-accelerated genomic data read mapping. In some implementations, software-accelerated genomic data read mapping includes obtaining a first k-mer seed from a genomic data read; generating a genomic signature based on a first k-mer seed; determining a reference sequence location using a hash data structure based on the genomic signature; determining a number of mismatches; based on determining the number of mismatches includes one or more mismatches, obtaining, by the one or more computers, a set of k-mer seeds from the genomic data read; and based on the set of k-mer seeds from the genomic data read, selecting, by the one or more computers, an actual alignment for the genomic data read.

Abstract: Example molecular embedding systems and methods are described. In one implementation, a system includes a molecular embedder configured to receive structural and chemical information associated with a single-molecule ingredient from a plurality of single-molecule ingredients. The molecular embedder also generates a representation of the single-molecule ingredient. A preparation modeler receives multiple representations of single-molecule ingredients and preparation instructions. The molecular embedder generates a representation of the prepared ingredients. A predictor receives a representation of the prepared ingredients and generates predicted characteristics of the prepared ingredients.

Abstract: Provided are a method, apparatus, and computer program for automatically generating standardized research record data for training an artificial intelligence model. The method for automatically generating standardized research record data for training an artificial intelligence model, according to various embodiments of the present invention, is performed by a computing apparatus and comprises the steps of: acquiring research record information regarding an experiment; processing the acquired research record information on the basis of prestored data related to the experiment; and generating standardized research record data by using the processed research record information.

Abstract: A method, computer program product, and computer system are provided for featurization of carbon dioxide capture characteristics in molecules. The method inputs a structure-based key of a fixed number of sub-structure descriptors for chemical groups relating to carbon dioxide capture characteristics. Sub-structure searching of each of the sub-structures defined in the key is carried out through candidate molecules represented in a format suitable for searching. A featurization of each candidate molecule is provided in the form of a fixed bit fingerprint indicating a presence or an absence of the sub-structures defined in the key. The fingerprint is applied for screening of molecules for carbon dioxide capture characteristics.

Abstract: Disclosed herein are systems and methods for conducting eye movement desensitization and reprocessing. Systems and methods may include connecting a session master to a session, creating a room, connecting a session guest to the session, configuring the room, conducting a baseline screening, conducting a session set, and conducting a post-session screening.

Abstract: Aspects relate to a portable device that may be used to identify a critical intensity and an anaerobic work capacity of an individual. The device may utilize muscle oxygen sensor data, speed data, or power data. The device may utilize data from multiple exercise sessions, or may utilize data from a single exercise session. The device may additionally estimate a critical intensity from a previous race time input from a user.

Abstract: A biologic test system (BTS) includes a kiosk having a user interface, a dispensing system, and a locker. The locker can be configured to remain locked for a predetermined period of time. A method of conducting a biologic test includes providing a kiosk, providing a medical professional computer system, and dispensing a biologic test kit from the kiosk.

Abstract: A simplified and highly accurate animal patient proposal system that solves a veterinary problem. An animal patient examination proposal system includes: a storage means that stores: an animal patient database including at least two or more pieces of medical interview information, physical examination information, present disease history information, examination history information, diagnosis history information, treatment history information, medication history information, and prescription history information, and an examination database including an examination candidate to be considered in association with each piece of information included in the animal patient database and an evaluation value associated with the examination candidate, an extraction means that refers to the examination database based on the patient database and extracts the examination candidate based on the evaluation value, and a display means that displays the extracted examination candidate to a user.

Abstract: A computerized method for generating a data storage including medical data is provided. The method includes, by a processor and a memory circuitry, obtaining a plurality of data items, wherein the data items comprise medical data pertaining to a patient, constituting patient medical data, wherein the patient medical data includes at least two different medical data types; processing the plurality of obtained medical data to generate a unified representation of the patient medical data; and storing data indicative of the generated unified representation in the database. There is also provided a computerized method for providing medical data by receiving medical data pertaining to a patient and conducting a search in a database for identifying stored similar data.

Abstract: Disclosed herein are methods, non-transitory computer readable media, and systems for subphenotyping acute respiratory distress syndrome (ARDS) patients by analyzing electronic health data (EHR) using a subphenotype classifier. According to their classification, different treatments can be selected which are likely to be efficacious in treating ARDS. Such methods, non-transitory computer readable media, and systems are useful for rapid classification and guided treatment in critical care settings, such as in hospitals.

Abstract: The disclosed technology addresses the need in the art for an enhanced communication system for emergency departments. A system is configured to receive, from an emergency department device, registration information for a patient device, generate a unique identifier associated with the registration information, and provide the unique identifier to the emergency department device. The system is further configured to receive, from the patient device, a communication including the unique identifier and contact information and store, based on the communication, an entry for the patient device in a device database, wherein the entry for the patient device comprises the registration information and the contact information.

Abstract: Described herein is a system for remote monitoring of non-critically ill hospitalized patients. The system can include a graphical user interface displaying a representation of the patient census. Each patient is represented by a graphic showing a clinical status, with an underlying expanded view of various parameters. The system can also include a non-transitory memory storing computer executable instructions and a processor configured to execute the computer executable instructions. Upon execution, the computer executable instructions can at least: receive a data stream associated with a non-critically ill hospitalized patient; determine a risk score associated with the non-critically ill hospitalized patient based on data associated with the alarm notification, wherein the risk score represents a probability of the non-critically ill hospitalized patient developing an actionable clinical event; and rearrange the plurality of graphical representations on the GUI based on the risk score.

Abstract: A caregiver user interface displays information from a patient's electronic medical record. The interface associates medical records together that include a common data item. The interface also displays information about data items, such as the status of a data item in an associated historical record. Controls can be displayed in the user interface, which are linked to the historical records.

Abstract: Systems and methods are provided that utilize a federated learning system for model development.

Abstract: A medical device server can include a plurality of artificial intelligence medical devices, each trained for rendering a prediction related to a disease or medical condition. A healthcare provider can obtain patient data, including medical tests results, and send them to the medical device server as a request to obtain disease or health condition predictions. The patient data can be provided to an applicable artificial intelligence medical device whose input fields data type match and are present in the patient data embedded in a request received from the healthcare provider. The applicable artificial intelligence medical devices can render disease or health condition predictions, which are communicated to the healthcare provider in response to the request.

Abstract: A platform for patient engagement and treatment compliance is disclosed. In an example, a system includes a home therapy machine configured to perform a renal failure therapy treatment. The system also includes a mobile communication device including an application having a calendar feature that identifies times/days in which the renal failure therapy treatment is scheduled to be performed. The application is configured to use the calendar feature to determine a time/day of a next scheduled renal failure therapy treatment. At a designated time before the next scheduled renal failure therapy treatment, the application causes a display interface of the personal mobile communication device to display a prompt for medical information. When the medical information is not received before the next scheduled renal failure therapy treatment, the application causes the home therapy machine to delay a start of the next scheduled renal failure therapy treatment.

Abstract: A system and apparatus to index healthcare provider cards are described. Patients and healthcare providers are classified into separate profile categories with similar but different information. Patients are presented an index of healthcare providers that best fit their search criteria and healthcare providers are presented an index of patient that best fit their search criteria. The patients and healthcare providers sequentially make an indication of whether they wish to match with each individual presented. When patients and healthcare providers indicate they wish to match with an individual, the individual receives a request. If the individual approves the request, a match is formed. When a patient and healthcare provider match, they are then able to communicate with one another.

Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets; segmentation; visualization of flow superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.

Abstract: The present disclosure relates to a method and device for generating clinical record data for recording medical treatment. The method includes receiving medical data in which medical treatment, performed in advance, is recorded; recording information, included in the medical data, in a layer corresponding to an item related to the medical data from among a plurality of layers classified according to a plurality of items; and generating a clinical report based on the plurality of layers.

Abstract: Methods for providing test results to a patient include accessing historical test result data associated with the patient for a test type. The historical test result data is stored as test results for the test type with corresponding test parameters (e.g., test thresholds) for the test result. To account for differences in the test parameters, the historical test result data is normalized and subsequently transmitted as normalized chart data for display at a user computing device. The normalized test result data is also used to identify and transmit content to a user that is relevant to the test results and other trends in the historical test result data.

Abstract: A biological information storage system includes: a measurement unit that measures biological information of a patient undergoing surgery; a storage unit that stores the biological information measured by the measurement unit; a display unit that displays the biological information; a display processing unit that executes processing of causing the display unit to display a plurality of surgery processes, arranging a plurality of selection processes selected from among the plurality of surgery processes as the scheduled surgery processes in time series in a procedure of the surgery, and causing the display unit to display the plurality of selection processes; a storage processing unit that executes processing of causing the storage unit to store the biological information for each of the selection processes when the surgery is started; and a report generation processing unit that executes processing of generating a report based on the biological information stored in the storage unit.

Abstract: In an embodiment, systems and method for detecting errors in prescriptions are provided. When a prescription for a medication is received by a prescription fulfillment system, the instructions associated with the prescription are analyzed to determine where the prescription for the medication includes a mistake. The analysis may be performed based on information collected from a plurality of prescriptions for the same medication that are known to not include any mistakes. If a prescription is determined to possibly include a mistake one or more actions may be taken including notifying a pharmacist, notifying the medical provider associated with the prescription, notifying the patient, and in some circumstances, rejecting the prescription. In some embodiments, the analysis may be performed by a model trained using the plurality of prescriptions known to not include any mistakes, and a plurality of prescriptions known to include some mistakes.

Abstract: Embodiments described herein provide for training an artificial intelligence model to boost dose depositions. The artificial intelligence model receives medical images and a dose deposition determined according to a first dose deposition model. The artificial intelligence model modifies the received dose deposition determined according to the first dose deposition model such that the dose deposition simulates a dose deposition determined by a second dose deposition model.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products for cloud-based infusion medication fulfillment. A cloud-based medication fulfillment system can receive a request to fulfill an order for a medication of a type. When the customer is authorized to process requests via an enhanced medication workflow that includes legacy medication fulfillment steps for fulfilling medications that are not of the type as well as enhanced medication fulfillment steps for fulfilling medications that are of the type, the system can: (i) process the request according to the legacy medication fulfillment steps, and (ii) process the request according to the enhanced medication fulfillment steps, including processing a representation of the request by an automated device that is associated with preparing medications of the type. The cloud-based medication fulfillment system can store data indicating that the order for the medication of the type has been fulfilled and/or administered.

Abstract: The invention features methods that are useful for treatment of a patient at increased risk for infection and for selecting a patient for treatment for an infection. In various embodiments, the infection is coronavirus disease 2019 (COVID-19), sepsis, or other respiratory infections.

Abstract: A compute device may include circuitry configured to obtain patient state data that may be indicative of a heart rate of the patient or a respiration rate of the patient. The circuitry may also be configured to obtain patient medication data indicative of a schedule for administration of pain medication to the patient. Further, the circuitry may be configured to determine whether a trend in the patient state data satisfies a predefined condition, determine whether the patient medication data indicates that the patient is due for administration of pain medication within a predefined time period, determine, in response to a determination that the trend in the patient state data satisfies the predefined condition and a determination that the patient is due for administration of pain medication within the predefined time period, that the patient is experiencing pain, and produce an alert signal that the patient is in pain.