Abstract: A semiconductor memory device includes first and second memory cells, each of which includes a charge storage layer, a first bit line that is connected to the first memory cell, and a second bit line that is connected to the second memory cell. A writing operation includes multiple loops of a programming operation and a verification operation, and first data is written in the first memory cell, and second data different from the first data is written in the second memory cell through the writing operation. In a first loop of the writing operation, a first voltage is applied to the first bit line and the second bit line is maintained in an electrically floating state during the programming operation, and a verification operation relating to the second data is not performed and a verification operation relating to the first data is performed.

Abstract: Memory devices, systems including memory devices, and methods of operating memory devices and systems are provided, in which at least a subset of a non-volatile memory array is configured to behave as read-only memory by not implementing erase or write commands. In one embodiment of the present technology, a memory device is provided, comprising a non-volatile memory array, and circuitry configured to store one or more addresses of the non-volatile memory array, to compare an address of a received command to the one or more addresses, and at least in part based on the comparison, determine not to implement the received command. The circuitry can be further configured to return an error message after determining not to implement the received command.

Abstract: A nonvolatile memory apparatus and an operating method of the nonvolatile memory apparatus may include a first memory cell array, a second memory cell array, a bit line switch, and a sensing control signal generation circuit. The first and second memory cell arrays may be coupled to a bit line. The bit line switch may electrically couple the first memory cell array to the second memory cell array according to an operation period of the non-volatile memory apparatus.

Abstract: A nonvolatile memory apparatus may include a first memory cell array, a second memory cell array, and a data sensing circuit. The first memory cell array may include a plurality of first memory cells coupled between a plurality of first word lines and a bit line. The second memory cell array may include a plurality of second memory cells coupled between a plurality of second word lines and the bit line. The data sensing circuit may define a sensing period and a latch period based on a power-up signal, may precharge a sensing node coupled to the bit line, may sense and amplify a voltage level of the sensing node, during the sensing period, and may generate an output signal by latching the sensed and amplified signal during the latch period.

Abstract: A memory circuit includes a memory cell, a first program driver, a second program driver, and a sensing amplifier. A method for operating the memory circuit includes, during a program operation of the memory cell, providing a program voltage to the memory cell, enabling the first program driver to drive the first local bit line to be at a low voltage, enabling the second program driver, disabling the first program driver, and enabling the sensing amplifier to verify whether the first memory cell has been programmed or not. The second program driver has a weaker driving ability than the first program driver.

Abstract: A shift register circuit including: a first switching unit, a second switching unit, a third switching unit, a fourth switching unit, a fifth switching unit, a sixth switching unit, a seventh switching unit, and an eighth switching unit.

Abstract: A nonvolatile memory (NVM) device includes a data pin, a control pin, an on-die termination (ODT) pin, and a plurality of NVM memory chips commonly connected to the data pin and the control pin. A first NVM chip among the NVM chips includes an ODT circuit. The first NVM chip determines one of an ODT write mode and an ODT read mode based on a control signal received through the control pin and an ODT signal received through the ODT pin, uses the ODT circuit to perform an ODT on the data pin during the ODT write mode, and uses the ODT circuit to perform the ODT on the control pin during the ODT read mode.

Abstract: Described technologies extend the information available from an execution trace of a program by providing heuristically-derived values for memory contents when the trace does not include data expressly showing the value of a memory cell at a particular execution time. Various heuristics are described. The heuristics may use information about the memory cell at other times to produce the derived value. Some heuristics use other trace data, such as whether the memory cell is in a stack, whether there are gaps in the trace, or whether garbage collection or compilation occurred near the time in question. Grounds for the derived value are reported along with the derived value. A time-travel debugger or other program analysis tool can then present the derived values to users, or make other use of the derived values and grounds to assist debugging and other efforts to improve the functioning of a computing system.

Abstract: A data storage apparatus and a method for preventing data error using the same are provided. The data storage apparatus includes a memory and a memory controller. The memory includes a plurality of blocks. The memory controller is coupled to the memory and configured to perform the following operations: recording a read count of a target block of the memory; performing an error bit check on a free storage space of the target block when the read count of the target block meets a condition; and programming a dummy data to the free storage space of the target block in response to the determination that the check result is negative.

Abstract: A test circuit includes a built-in self-test (BIST) circuit and a built-in repair analysis (BIRA) circuit. The built-in self-test (BIST) circuit performs a test operation for a plurality of memory packages to generate fail information. The built-in repair analysis (BIRA) circuit receives the fail information from the BIST circuit to select at least one of the plurality of memory packages as a repair target memory package. The repair target memory package is selected by considering an error correction capability of an error correction code (ECC) circuit and usability of redundancy regions included in each of the plurality of memory packages.

Abstract: The embodiments herein disclose a method and system for designing molecules by using a machine learning algorithm. The method includes representing molecular structures included in a dataset by using a Simplified Molecular Input Line Entry System (SMILES), where the SMILES uses a series of characters, converting a SMILES representation of the molecular structures into a binary representation, pre-training a stack of Restricted Boltzmann Machines (RBMs) by using the binary representation of the molecular structures, constructing a Deep Boltzmann Machine (DBM) by using the stack of the RBMs, determining limited molecular property data for a subset of the molecule structures in the dataset, training the DBM with the limited molecular property data, combining the pre-trained stack of the RBMs and the trained DBM in a Bayesian inference framework, and generating a sample of molecules with target properties by using the Bayesian inference framework.

Abstract: The invention provides computational methods for engineering, selecting, and/or identifying proteins with a desired activity. Further provided are automated computational design and screening methods to engineer proteins with desired functional activities including, but not limited to ligand binding, catalytic activity, substrate specificity, regioselectivity and/or stereoselectivity.

Abstract: Provided herein are methods for mapping immune response to an immunogen, comprising: immunizing a subject with an immunogen and obtaining sera from the immunized subject at multiple time intervals following immunization, wherein the sera comprises one or more immune complexes between the immunogen and serum antibodies; imaging, by electron microscopy, the sera obtained from the immunized subject in each of the time intervals, to obtain structural images of the one or more immune complexes formed between the immunogen and serum antibodies; mapping immune response to the immunogen by measuring differences in structural images obtained at different time intervals to simultaneously visualize diverse antibodies targeting distinct epitopes in the immunized subjects.

Abstract: A method of predicting an amino acid substitution includes: receiving input of information regarding a structure of an enzyme along with the site of the enzyme in proximity to a bound ligand; identifying a functional atom of a wild type (WT) amino acid at the site of interest and a functional atom of the ligand; confirming properties of the functional atom of the WT amino acid and the functional atom of the ligand; detecting whether an interaction exists between the functional atom of the WT amino acid and the functional atom of the ligand; selecting alternative amino acids according to a result of the detecting of the interaction; determining a score for each of the selected alternative amino acids, respectively; ranking the selected alternative amino acids, based on the scores; and predicting substitutions of alternative amino acids having high rankings from among the selected alternative amino acids.

Abstract: A computer implemented method for evaluating if a mRNA nucleotide sequence can form a triBridge complex. The miRNA-mRNA triBridge complex is a complex formed from the mRNA nucleotide sequence and the miRNA nucleotide sequence that includes the UTR-UTR zipper and a miRNA bridge. A biological sample can be obtained from a subject to determine the presence of single nucleotide polymorphisms in the mRNA nucleotide sequence that forms UTR-UTR zipper and a miRNA bridge.

Abstract: The present disclosure provides a method for genetic analysis disease diagnoses as well as a system for implementing such analysis.

Abstract: A method for determining an optimized nucleotide sequence encoding a predetermined amino acid sequence, wherein the nucleotide sequence is optimized for expression in a host cell, and wherein the method comprises the steps of: (a) generating a plurality of candidate nucleotide sequences encoding the predetermined amino acid sequence; (b) obtaining a sequence score based on a scoring function based on a plurality of sequence features that influence protein expression in the host cell using a statistical machine learning algorithm, wherein the plurality of sequence features comprises one or more sequence features selected from the group consisting of protein per time, average elongation rate and accuracy for each of the plurality of candidate nucleotide sequences of step (a); and (c) determining the candidate nucleotide sequence with optimized protein expression in the host cell as the optimized nucleotide sequence.

Abstract: Provided is a computer-implemented method of aligning RNA including receiving onto a data storage unit primer sequences and transcript sequences transcribable from a reference genome based on a gene model, generating target sequences to be amplified from a combination of the primer sequences and the transcript sequences, generating a modified reference genome based on the plurality of target sequences, aligning sequence reads generated from a test sample comprising RNA amplicon molecules to the of target sequences, and generating an alignment profile for the test sample based on the aligning. Also provided is a computer system for performing the foregoing method.

Abstract: The present invention provides a novel method for the classification of adjuvants. In one embodiment, the present invention provides a method for generating organ transcriptome profiles for adjuvants, said method comprising: (A) a step for obtaining expression data by performing transcriptome analysis for at least one organ of a target organism by using at least two adjuvants; (B) a step for clustering the adjuvants with respect to the expression data; and (C) a step for generating the organ transcriptome profile for the adjuvants on the basis of the clustering.

Abstract: Methods are provided for detecting an analyte concentration/presence in a body fluid sample that include providing a set of at least two different evaluation rules, each evaluation rule adapted to derive a set characteristic values from an optical measurement curve, where at least one first characteristic value is derived from at least one first evaluation rule and at least one second characteristic value is derived from at least one second evaluation rule. The methods also include performing at least one multivariate analysis of the at least one first and second characteristic values by using at least one predetermined multivariate evaluation algorithm to derive at least one estimate value for at least one target variable Y of the state variables. The methods also include determining at least one analyte concentration by using the at least one target variable Y. Also provided are computer programs and devices that incorporate the same.

Abstract: Techniques for generating therapy biomarker scores and visualizing same. The techniques include determining, using a patient's sequence data and distributions of biomarker values across one or more reference populations, a first set of normalized scores for a first set of biomarkers associated with a first therapy, and a second set of normalized scores for a second set of biomarkers associated with a second therapy, generating a graphical user interface (GUI) including a first portion associated with the first therapy and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the first set of normalized scores; and a second portion associated with a second therapy and having at least one visual characteristic determined based on a normalized score of the respective biomarker in the second set of normalized scores; and displaying the generated GUI.

Abstract: The inventive subject matter provides apparatus, systems, and methods that improve on the pace of discovering new practical information based on large amounts of datasets collected. In most cases, anomalies from the datasets are automatically identified, flagged, and validated by a cross-validation engine. Only validated anomalies are then associated with a subject matter expert who is qualified to take action on the anomaly. In other words, the inventive subject matter bridges the gap between the overwhelming amount of scientific data which can now be harvested and the comparatively limited amount analytical resources available to extract practical information from the data. Practical information can be in the form of trends, patterns, maps, hypotheses, or predictions, for example, and such practical information has implications in medicine, in environmental sciences, entertainment, travel, shopping, social interactions, or other areas.

Abstract: A method for predicting a patient outcome from a caretaker episode includes receiving a current episode snapshot of the caretaker episode comprising multi-modal data of the patient from an electronic health records (EHR) system, the multi-modal data including one or more available data modalities and one or more missing data modalities. The multi-modal data is applied as input to an embedding model having a submodel for each of the data modalities. A first embedding is generated for each of the available data modalities. A second embedding is generated for each of the missing data modalities using corresponding embeddings of neighbors in an episode snapshot graph. The first and second embeddings are combined to obtain a complete embedding. The patient outcome is predicted based on the complete embedding for the current episode snapshot using a machine learning component which has been trained using patient outcomes of the historical episode snapshots.

Abstract: A client engagement and customer relationship management platform is provided. The client engagement and customer relationship management platform includes a core database including a plurality of patient records, a client engagement and customer relationship management platform application programming interface (API) that is configured to provide access to the core database, one or more interfaces configured to receive a selection of a filter, and provide contact information for a group of patient records located at the core database and accessed via the client engagement and customer relationship management platform API in accordance with the selected filter; and a messaging API configured to receive the contact information for group of patient records, receive a group message, and send the group message to a plurality of patients over a communication network utilizing the contact information.

Abstract: Healthcare object (HCO) discriminator systems and methods are presented. Systems can obtain a digital representation of a scene via a sensor interface. An HCO discriminator platform analyzes the digital representation to discriminate objects within the scene as being associated with a type of HCO or as being unrelated to a type of HCO. Once the HCO recognition platform determines that a type of HCO is relevant, it instantiates an actual HCO. The HCO can be routed to one or more destinations based on routing rules generated from a template or based on the manner in which the objects in the scene were discriminated.

Abstract: Enformedconsent is a virtual, interactive electronic consent in which a patient receives information about a procedure such as risks, benefits, and options. The patient will also be able to view a video explaining the procedure in detail to the patient, as well as a FAQ section. The patient will be able to interact with the software by being able to ask questions, and receive answers. Once the patient has viewed the information, he or she may sign the electronic consent, the document is then uploaded to the electronic health record.

Abstract: Mechanisms are provided that implement a drug-adverse event causality evaluation engine to identify human resource selections based on a readability of unstructured text within an individual case safety report (ICSR) and a confidence value of the ICSR. The drug-adverse event causality evaluation engine receives the ICSR from a cognitive system. The drug-adverse event causality evaluation engine analyzes the ICSR to determine a readability value of the ICSR. The drug-adverse event causality evaluation engine determines whether or not an assessment, by a human reviewer, of the ICSR is required based on a combination of the readability value of the ICSR and the confidence value. The drug-adverse event causality evaluation engine outputs an indication of whether human reviewer assessment is required.

Abstract: Mechanisms are provided that implement a drug-adverse event causality evaluation engine to identify human resource selections based on a readability of unstructured text within an individual case safety report (ICSR) and a confidence value of the ICSR. The drug-adverse event causality evaluation engine receives the ICSR from a cognitive system. The drug-adverse event causality evaluation engine analyzes the ICSR to determine a readability value of the ICSR. The drug-adverse event causality evaluation engine determines whether or not an assessment, by a human reviewer, of the ICSR is required based on a combination of the readability value of the ICSR and the confidence value. The drug-adverse event causality evaluation engine outputs an indication of whether human reviewer assessment is required.

Abstract: A method and device for generating a clinical research report are provided. The method includes: obtaining a target text and an initial template of a target clinical research report, where the target text includes a target title and a body corresponding to the target title, the initial template includes a preset title and a body part to be filled corresponding to the preset title; matching the preset title with the target title, and copying a body corresponding to the matched target title into the body part to be filled corresponding to the preset title in the initial template, to generate a target template of the target clinical research report, in a case that the matching is successful; and generating the target clinical research report based on the target template.

Abstract: The systems and methods described herein determine a patient-specific pharmaceutical dosing regimen for a patient, using a computerized pharmaceutical dosing regimen recommendation system, and provide ways to quickly adjust a dosing regimen recommendation for a specific patient, in order to react to fast changes in the patient's medical condition. One way that the present disclosure accomplishes this is to update various inputs to the model in particular ways, such as by excluding a specific type (or types) of data or a specific portion (or portions) of previously observed data. Excluding this data from the model inputs allows for other data (such as data that is consistent with the indicators of the patient's status) to be weighted more heavily by the model, and therefore results in a recommendation for a patient-specific pharmaceutical dosing regimen that is suitable for quickly addressing the patient's changing needs.

Abstract: A method of processing drug alternatives for a selected drug. The method includes receiving a selection of the selected drug and generating a drug alternatives list from source data, the drug alternative list including a plurality of drug alternatives. The method includes gaining access to a price model and at least one price data source. The method includes determining respective prices for the plurality of drug alternatives according to the price model and the at least one price data source and ranking the plurality of drug alternatives in the drug alternatives list according to respective ordinality and respective prices. The method includes suppressing ones of the plurality of drug alternatives lacking a desired clinical outcome from the drug alternatives list. The method includes filtering resultant drug alternatives by at least one parameter. The method includes transmitting the drug alternatives list to a user computing system for display.

Abstract: Medication management and reporting technology, in which output from at least one sensor configured to sense physical activity in a building in which medication of a patient is located is monitored and a determination is made to capture one or more images of the medication based on the monitoring. A camera is used to capture an image of the medication and the captured image is analyzed to detect a state of the medication. Information regarding a schedule by which the medication should be taken by the patient is accessed and an expected state of the medication is determined. The detected state is compared with the expected state and a determination is made that the patient has departed from the schedule based on the comparison revealing that the detected state does not match the expected state. A message indicating the departure from the schedule is sent based on the determination.

Abstract: A method includes obtaining training data for a plurality of patients of a patient population. The training data includes training blood glucose history data including treatment doses of insulin administered by the patients of the patient population and one or more outcome attributes associated with each treatment dose. The method also includes identifying, for each patient of the patient population, one or more optimum treatment doses of insulin from the treatment doses yielding favorable outcome attributes. The method also includes receiving patient-state information for the treated patient, determining a next recommended treatment dose of insulin for the treated patient based on one or more of the identified optimum treatment doses associated with the patients of the patient population having training patient-state information similar to the patient-state information for the treated patient, and transmitting the next recommended treatment dose to a portable device associated with the treated patient.

Abstract: A medication management system, having a pill dispensing system having: a funnel having an open bottom end; a tube holder; a tube having: a hollow interior; means for securing the tube to the tube holder, such that a rotational movement of the tube holder causes a same rotational movement of the tube; a pill receiving hole facing upwards when the pill dispensing system is not actuated, and providing access to the hollow interior; wherein the open bottom end is aligned with the pill receiving hole when the pill dispensing system is not actuated, such that the pill receiving hole is configured to receive a pill, the pill dropping from the funnel into and housed within the hollow interior; and means for causing the rotational movement, such that the pill receiving hole faces downwards and thus dispenses the pill housed within the hollow interior out of the pill dispensing system.

Abstract: Since the final output for medical imaging is the radiology report, the quality of which is largely dependent on the radiologist, there is a need for a comprehensive system for both medical imaging and reporting. Imaging and radiology reporting are combined. Image acquisition, reading of the images, and reporting are linked, allowing feedback of readings to control acquisition so that the final reporting is more comprehensive. Clinical findings typically associated with reporting may be used automatically to feedback for further or continuing acquisition without requiring a radiologist. A clinical identification may be used to determine what image processing to perform for reading, and/or raw (i.e., non-reconstructed) scan data from the imaging system are provided for integrated image processing with report generation.

Abstract: Computer-implemented systems and methods automatically track the dynamic composition of a patient-care team by combining and harvesting information from at least two electronic audit trails: (1) a trail recording access to electronic medical records (EMR), e.g., read-access to patient data, electronic prescriptions and physician orders, etc., and (2) a trail recording electronic communications (email, text messages, etc.) regarding and referencing the patient.

Abstract: A visitor verification system 1000 is disclosed and described that can automatically authenticate a Mobile Service Provider (MSP) 3 arriving to provide assistance to a patient, or client 5 at their residence 7 while being off-line with the agency server. It also verifies the time and location a MSP session begins, periodically verifies that the MSP 3 is within the client's residence 7, logs the MSP out of the system and reports on the session. The visitor verification system employs at least one visual code located at the residence 7 that is scanned by a mobile computing device (MCD) 100. Information in the visual code is decoded and reconciled with locations determined by executable code (the App) running on the MCD 100. Once the location is verified by the App/MCD 100, the MSP 3 is authenticated. The system includes at least one beacon that transmits a signal that the MSP receives on the MCD 100.

Abstract: In an embodiment, a computer-implemented method comprises, in response to receiving lead data identifying an entity associated with a health care claim relating to suspected fraud, determining one or more data sources that were used to identify the entity or the suspected fraud; determining a subset of a plurality of data display elements, based on the determined one or more data sources, wherein each of the plurality of data display elements is configured to cause displaying health care claims data associated with the entity in a designated format; automatically obtaining, from a data repository, specific health care claims data associated with the entity for each of the plurality of data display elements in the subset; generating a lead summary report associated with the entity using a report template, the subset, and the obtained specific health care claims data.

Abstract: System and methods for the integration of dental practice management systems are disclosed herein. The systems and methods may generate models (including schedule models and financial models) from the data provided by a plurality of dental practices. These models can be used to quantitatively evaluate the efficiency and other operating characteristics of a particular dental practice, and can identify operational issues within the practice. Further, the systems and methods can evaluate metrics of the dental practice against goal metrics and/or standard metrics, and recommend and implement solutions based on the comparison.

Abstract: A system, method, and computer program product for identifying device connections in a connection area includes receiving a plurality of physical parameters of a plurality of devices from a plurality of transmission sources in a connection area, wherein the plurality of physical parameters indicates physical states of the plurality of devices. At least one physical connection state is determined between the plurality of devices based on the plurality of physical parameters of the plurality of devices.

Abstract: A patient monitoring system comprises a plurality of sensors and an analysis computing entity. The sensors comprise a visual sensor and a wearable sensor. The visual sensor is configured to capture images of a patient and provide the images of the patient such that the analysis computing entity receives the images. The wearable sensor is configured to capture wearable data. The wearable data comprises (a) biometric data of the patient and/or (b) movement data of the patient. The wearable sensor is configured to provide the wearable data such that the analysis computing entity receives the wearable data. The analysis computing entity is configured to receive the images of the patient and the wearable data, analyze at least one of the images of the patient and the wearable data to determine objective patient data, and update a patient record based on the objective patient data.

Abstract: A method for improving utilization of portable medical devices by a practitioner. The method comprises: determining a plurality of states within a test cycle that are to be monitored, at least one of the states corresponding to when a device is in the possession of a patient and at least two of the states corresponding to when the device is in the possession of the practitioner; monitoring the time one or more devices are in one of the states; determining that the time spent in the one state by one device or the average time spent in the one state by more than one device is greater than an optimum time; and providing an indication that the time spent in the one state by the one device or the average time spent in the one state by the more than one portable medical device is greater than the optimum time.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate proximity detection and location tracking. An example apparatus includes a real time location system (RTLS) health processor. The example RTLS health processor includes an event processor to process an event included in a message from an RTLS device to identify event information related to the RTLS device, the event relating to a health of the RTLS device and the event information including an event type and an event detail. The example RTLS health processor includes a health analyzer to compare the event detail to a prescribed bound for the event type, the event relating to a health of the device. The example RTLS health processor includes an output generator to, when the event information is outside the prescribed bound, trigger a response to address the event with respect to the RTLS device.

Abstract: A method of collecting data as well as the uncertainty of that data for use in a computation intelligent system for use in distinguishing between a plurality of outcomes and discounting the probability of each outcome through a Bayesian theorem application of uncertainty in contributory elements for each outcome.

Abstract: Apparatus and methods for calculating cardiac output (CO) of a living subject using applanation tonometry measurements. In one embodiment, the apparatus and methods build a nonlinear mathematical model to correlate physiologic source data vectors to target CO values. The source data vectors include one or more measurable or derivable parameters such as: systolic and diastolic pressure, pulse pressure, beat-to-beat interval, mean arterial pressure, maximal slope of the pressure rise during systole, the area under systolic part of the pulse pressure wave, gender (male or female), age, height and weight. The target CO values are acquired using various methods, across a plurality of individuals. Multidimensional nonlinear optimization is then used to find a mathematical model which transforms the source data to the target CO data. The model is then applied to an individual by acquiring physiologic data for the individual and applying the model to the collected data.

Abstract: A system includes an image capture device and one or more processors. The image capture device is configured to detect a plurality of images regarding a subject. The one or more processors are configured to receive the plurality of images, identify the subject using the plurality of images, detect a movement of the subject using the plurality of images, compare the movement to a predetermined movement pattern, generate a movement metric based on the comparison, and store, in a database, an association between a subject profile corresponding to the identified subject, the plurality of images, and the movement metric.

Abstract: An exemplary embodiment of system, method and computer-accessible medium can be provided to reconstruct models based on the probabilistic notion of causation, which can differ fundamentally from that can be based on correlation. A general reconstruction setting can be complicated by the presence of noise in the data, owing to the intrinsic variability of biological processes as well as experimental or measurement errors. To gain immunity to noise in the reconstruction performance, it is possible to use a shrinkage estimator. On synthetic data, the exemplary procedure can outperform currently known procedures and, for some real cancer datasets, there are biologically significant differences revealed by the exemplary reconstructed progressions. The exemplary system, method and computer accessible medium can be efficient even with a relatively low number of samples and its performance quickly converges to its asymptote as the number of samples increases.

Abstract: Methods, systems, and devices for initiating a video conference between a patient and a clinician are described. The method may include receiving an indication of an availability of the patient to participate in the video conference with the clinician, where the indication is based on detecting a proximity of the patient to a video conference device. The method may also determine an availability of the clinician to participate in the video conference with the patient. The method may further include initiating the video conference between the patient and the clinician, via the video conference device, based on the received indication of the availability of the patient and the determined availability of the clinician.

Abstract: Various embodiments relate to a network device (such as a patient monitoring device) and related method and non-transitory media including one or more of the following: a wireless communication interface; patient monitoring hardware for measuring at least one physiological parameter of a patient; and a processor configured to: provide a protocol stack for enabling communication via the wireless communication interface, transmit the at least one physiological parameter via the protocol stack and the wireless communication interface, request wireless access point (AP) information about a plurality of APs from the protocol stack, generate a connectivity report based on the AP information, and transmit the connectivity report to a remote server via the protocol stack and the wireless communication interface.

Abstract: The present disclosure is generally directed to the field of human-augmentation using computing devices and techniques. In particular, a computer-implemented method may include: (1) identifying, via a message identification component, at least one message associated with a message exchange platform, the message including a query; (2) transmitting, via a communication component, the message to one or more users at respective user devices; (3) receiving, via a recommendation component, responses to the query from the respective user devices; (4) determining, via a scoring component, respective scores of the responses; and (5) selecting, via the scoring component, at least one response having a score exceeding a predetermined threshold. Various other methods, systems, devices, and computer-readable media are also disclosed.