Abstract: Systems and methods are provided herein for enhanced waste item organization. In some embodiments, an example method may include receiving, by a sensor of a device, image data associated with a first waste item. The example method may also include determining, based on the image data associated with the first waste item, a product characteristic of the first waste item. The example method may also include determining, based on the product characteristic of the first waste item, that the first waste item is associated with a first waste receptacle of a plurality of waste receptacles. The example method may also include presenting an indication of the first waste receptacle to the user.

Abstract: A food selection method includes obtaining one or more spectra corresponding to each of one or more foods, the one or more spectra being a result of measurement of each of the one or more foods using a spectral camera, comparing desire information indicating an attribute of a food desired by a user and a state of each of the one or more foods based on the one or more spectra, and selecting a food that suits the user's desire on a basis of a result of the comparing.

Abstract: In one implementation, an insulin delivery system using an on-body network includes an insulin delivery device that is adapted to administer dosages of insulin to a patient; a controller that is adapted to control operation of the insulin delivery device, to establish a first network connection in which the controller acts in a central role, and to establish a second network connection in which the controller acts in a peripheral role; one or more peripheral devices that are adapted to generate patient data related to blood glucose levels and to transmit the patient data wirelessly over the first network connection, the peripheral devices acting in a peripheral role over the first network connection; and a mobile application installed on a mobile computing device that is programmed to communicate with the controller over the second network connection, the mobile application communicating in a central role over the second network connection.

Abstract: A card for storing both emergency information and payment information is disclosed. The card can be used by an emergency responder to retrieve emergency information for the user. The emergency information can enable the emergency responder to better render aid to the user. The card can have one or more processors, a sensor, and a memory in communication with the one or more processors and storing an application thereon. The application can cause the card to receive a request from a user device (e.g., from an emergency medical technician, or EMT) to access emergency information stored in the memory, transmit a security challenge to the user device, authenticate a received response to the security challenge from the user device, and transmit the emergency information to the user device.

Abstract: A computing system may receive a verification of benefits (VoB) request that identifies a subscriber and a healthcare provider that submitted the VoB request. The VoB request may comprise a request for the computing system to verify that a health insurance policy of the subscriber is active. In response to determining that the health insurance policy of the identified subscriber is active, the computing system may determine whether to send a subscriber alert to the subscriber. The subscriber alert may notify the subscriber that the healthcare provider has been requested to perform a healthcare action for the subscriber in the future as of a time the healthcare provider submitted the VoB request. Based on a determination to send the subscriber alert, the computing system may initiate a process to send the subscriber alert.

Abstract: Sizing resources for a replication target, including: determining an initial resource requirement for a replication source; determining a retention resource requirement for the replication source; and reporting, in dependence on the initial resource requirement and the retention resource requirement, a total resource requirement for replicating the replication source.

Abstract: Augmented reality (AR) servicing guidance uses a mobile device (30, 90) with a display and a camera. Computer vision (CV) processing (102) such as Simultaneous Location and Mapping (SLAM) is performed to align AR content (80) with a live video feed (96) captured by the camera. The aligned AR content is displayed on the display of the mobile device. In one example, the mobile device is a head-up display (HUD) (90) with a transparent display (92, 94) and camera (20). In another example the mobile device is a cellphone or tablet computer (30) with a front display (34) and a rear-facing camera (36). The AR content (80) is generated by CV processing (54) to align (70) AR content with recorded video (40) of a service call. The aligning (72) includes aligning locations of interest (LOIs) identified in the recorded video of the service call by a user input.

Abstract: In one example, an apparatus comprises a treatment metric model database that stores a plurality of treatment metric models, each of the plurality of treatment metric models being generated for a first cluster of cluster features vectors, each cluster feature vector representing a distribution for each of a plurality of data categories of patients data represented by patient feature vectors clustered in a second cluster. The apparatus is further configured to: receive patient characteristics features data of a patient; identify a first treatment metric model based on the patient characteristics features data of the patient; input the first patient characteristic features data and data representing a range of administrations of the treatment to the first treatment metric model to compute a range of the treatment metric; and select an administration of the treatment from the range of administrations of the treatment having optimal treatment metric.

Abstract: Improved computer modeling techniques, and uses thereof, are described herein. A set of unstructured textual data is received. Certain textual data is removed from the set of unstructured data to form an initial vocabulary set of textual data. One or more bigrams are added to the vocabulary set of textual data to form a final vocabulary set of textual data. The final vocabulary set of textual data is divided into a plurality of subsets of textual data based on type. A model is trained using each of the plurality of subsets of textual data to form a plurality of trained models, each corresponding to one of the types.

Abstract: Systems and methods are provided for analyzing blood of a living being, and for presenting guidance for medical treatment.

Abstract: A device may obtain identification information concerning a clinical trial, and may obtain, based on the identification information, selection information concerning the clinical trial and input information concerning the clinical trial. The device may select at least one machine learning model, of a plurality of machine learning models, based on the selection information, and may process, using the at least one machine learning model, the input information to determine predicted rate of recruitment (RoR) information concerning the clinical trial.

Abstract: A method, computer system, and a computer program product for labeling optimization is provided. The present invention may include receiving a plurality of labeled historical transaction timeline image clusters based on a plurality of historical transaction timeline images clustered using unsupervised machine learning. The present invention may further include training an image recognition model using supervised machine learning based on the received plurality of labeled historical transaction timeline image clusters. The present invention may also include receiving, by the trained image recognition model, a current transaction timeline image. The present invention may further include assigning a corresponding label to the received current transaction timeline image based on matching the received current transaction timeline image to one of the received plurality of labeled historical transaction timeline image clusters.

Abstract: The present disclosure includes methods, devices and systems for establishing a connection between a medical device and a remote computing device, receiving an upgrade command at the medical device, storing a current version of persistent data and a current version of executable code in a first storage area of the medical device, transmitting at least the current version of the persistent data to the remote computing device, receiving a second format of the current version of the persistent data and an upgraded version of executable code at the medical device, storing the second format of the current version of the persistent data and the upgraded version of the executable code in a second storage area of the medical device, and executing the upgraded version of the executable code with the second format of the current version of the persistent data.

Abstract: A medical diagnostic kit are described. In one example, a medical diagnostic kit includes a container, and a plurality of medical diagnostic test kits located within the container. Each of the plurality of medical diagnostic test kits can include equipment necessary to perform a particular self-administered medical diagnostic test. The plurality of medical diagnostic test kits can include at least a first medical diagnostic kit adapted to facilitate user completion of a first medical diagnostic test and a second medical diagnostic kit adapted to facilitate user completion of a second medical diagnostic test different from the first medical diagnostic test. The container can include a machine-readable code located on an external surface of the container.

Abstract: Systems, apparatuses, and methods include technology including a headless medical device for performing implementing a medical resource or function in context with a configuration device and an optional host device for locking or unlocking a lock status of the headless medical device respective to action requests relating to the medical resource or function.

Abstract: Methods and systems for managing patient attributions are provided. Interaction events between clinicians and the patient are identified, and using times associated with each interaction, a time series of the interactions for each clinician may be constructed. Care responsibility curves measuring a clinician's care responsibility level over time may be generated using the time series, an initial care responsibility level assigned to each interaction and a rate of decay for each interaction, which may be based on the type of action and type of clinician who interacted with the patient. A care responsibility score for each clinician may be determined from the clinician's care responsibility curve, and a patient-attribution assignment record may be created to attribute the patient to one of the clinicians based on a ranking of the clinicians' care responsibility scores.

Abstract: A method and system enhances the execution of the telemedicine impairment repair process (IRP) to claim closure by assisting all stakeholders by monitoring the process and reminding the stakeholders of the stakeholder roles and responsibilities to maintain a prudent time frame for the reported injury and/or illness. The method of and system for executing an impairment repair process addresses flaws in the current process by implementing timing guided by legislation and best medical practice. Key aspects of the impairment repair process are addressed to ensure prudent timing by assuring accuracy of claim development, monitoring, and initiating communication to closure. The process is implemented in multiple stages including, assessment, documentation, prescribed treatment, and analysis of outcome.

Abstract: Methods and systems for classifying and editing insurance claims records are described. In one embodiment, a method, which can be performed by a processor, includes determining that a first prescription drug prescribed to a first patient should be filled by a pharmacy, determining a first guidepost date and a second guidepost date related to the first prescription, determining a third guidepost date associated with a second prescription, comparing the third guidepost date to the first and second guidepost dates to determine whether the third guidepost date occurs after the first guidepost date and before the second guidepost date, and filling and dispensing the first prescription drug as a full prescription supply and the second prescription drug as a full prescription supply on the same dispense date when the third guidepost date occurs after the first guidepost date and before the second guidepost date.

Abstract: Systems and methods that analyze blood-based cancer diagnostic tests using multiple classes of molecules are described. The system uses machine learning (ML) to analyze multiple analytes, for example cell-free DNA, cell-free microRNA, and circulating proteins, from a biological sample. The system can use multiple assays, e.g., whole-genome sequencing, whole-genome bisulfite sequencing or EM-seq, small-RNA sequencing, and quantitative immunoassay. This can increase the sensitivity and specificity of diagnostics by exploiting independent information between signals. During operation, the system receives a biological sample, and separates a plurality of molecule classes from the sample. For a plurality of assays, the system identifies feature sets to input to a machine learning model. The system performs an assay on each molecule class and forms a feature vector from the measured values.

Abstract: The technology described herein relates to using predictions about patients' future health care utilization and/or outcomes (e.g., patients' expected future adherence to medication regimens) and the expected economic benefits of targeted improvements in the same utilization and/or outcomes (e.g., reduced likelihood of hospitalization attributable to more consistent medication use) to implement more effective and efficient health care improvement programs. The technology described here computes which subset of patients should be included in a value-based health care provider payment scheme and what the specific bonus payment amounts should be such that expected benefits from better patient outcomes, once realized, are greater than the expected costs of the payment scheme itself.

Abstract: In one aspect, a system for automatically processing a medical claim includes a billing automation platform, a navigation device with a global positioning system for collecting patient transport information including a location of a medical encounter, and a computing device for receiving the patient transport information and patient charting information and transmitting the information for use by the billing automation platform. The billing automation platform may access fee schedule(s) based on a location of the medical encounter, automatically populate the medical claim based on the patient charting information, the patient transport information, and the fee schedule(s), and automatically route the medical claim through workflow paths of a claim processing workflow.

Abstract: Systems and methods for verifying proper possession of a medication are disclosed. A reader device scans a code printed on the medication to extract an embedded serial number. The reader device captures biometric information of a person in possession of the medication. A first server queries a prescription database, which retrieves biometric characteristic data associated with the embedded serial number. A determination is made if the retrieved biometric characteristic data matches biometric characteristic data. The match information is displayed on the reader device.

Abstract: A system is provided for providing real-time actionable feedback. The system comprises: a server in communication with a plurality of client devices, which server comprises a first module configured to process clinical care data using a machine learning algorithm trained model to identify: (i) performance metrics that impact a clinical care outcome in a selected field, and (ii) one or more actions that influence the performance metrics and are actionable to a selected clinical care provider; a second module for generating a real-time measurement of the one or more performance metrics of the selected clinical care provider; and a third module configured to dynamically display on the graphical user interface of a client device of the selected clinical care provider: (i) the real-time measurement of the one or more performance metrics of the selected clinical care provider, and (ii) an adjustment of the one or more actions.

Abstract: Receiving, from a customer, an electronic message comprising at least one healthcare claim for at least one patient, said claim comprising at least one healthcare service; determining, if a selectively redeemable bundled service purchase data record exists for the at least one of the services in the healthcare claim, wherein the selectively redeemable bundled service purchase data record comprises an individual redemption status of each individual bundled service; and upon determining whether the selectively redeemable bundled service purchase data record comprising the at least one service in the healthcare claim exists, sending to the customer the determination of whether the bundled healthcare service purchase data record exists and is available. One implementation generates a shopping cart with a bundled service for purchase and individually disburses payment to respective providers with an EDI X12 835 remittance message. A customer may submit a healthcare claim as an EDI X12 837 claim message.

Abstract: The present embodiments relate to generation of event chains and processing of events using the event chains. According to certain embodiments, the embodiments relate to generation of event chains and processing of events using the event chains. According to other embodiments, the embodiments relate to identifying a sub-population of subjects for providing a modified request-processing technique. According to other embodiments, the embodiments relate to auto-completion of event chains for triggering auto-processing of events.

Abstract: A method may include filling an order of a plurality of orders with a dosing filler system. The method may include receiving pharmaceutical orders including order for drugs used in multi-drug regimens using an order processing device. Each of the multi-drug regimen may have a plurality of scheduled dosing events. The method may include transporting containers to a dosing device, using the dosing device to dispense drugs for scheduled dosing events into the containers based on the received pharmaceutical orders, transporting the containers with the dispensed drugs to the container sealing device, using the container sealing device to seal the plurality of the containers with the dispensed drugs, transporting the dosage unit containers to the container identifier assembly, and using the container identifier assembly to identify the dosage unit containers based on the received pharmaceutical order.

Abstract: Systems and methods for evaluating the efficacy of entertaining elements during physical and cognitive therapeutic sessions are disclosed. The system is comprised of a means for providing visual and auditory information, and prompting a patient to perform physical and cognitive tasks of varying difficulty. The system is further comprised of a means of tracking the patient's movements to provide feedback to the patient and assess the performance of the patient's movements. Prompted movements are designed to provide therapeutic mental, behavioral, and physical health benefits to the patient, and may increase or decrease in difficulty based on prior assessments of a patient's movements. Entertaining elements are introduced in the visual and auditory information and assessed for their impact on the patient's performance of the movements.

Abstract: Systems and methods for real-time patient record transcriptions and medical form population via mobile devices are described. A user (e.g., a medical professional) may speak into or near a mobile device operable to detect or record spoken language, and furthermore the mobile device may initiate real-time transcription of the spoken language to generate unstructured transcription text data corresponding to the spoken language. The unstructured transcription text data may be parsed for words or phrases indicative of medical information for generating structured data, where the structured data includes terms, phrases, and values identified via delineators and/or natural language processing techniques. Discrete data from the structured data may be directly inserted into corresponding locations (e.g., appropriate medical form text fields) in electronic medical records via APIs and service bus relays.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a repetitive portion identification and weighting engine. A machine learning model is trained for weighting repetitive portions of patient electronic medical records (EMRs). A repetitive portion identification component applies a plurality of templates to clinical notes of a patient EMR to identify one or more candidate portions that match at least one of the plurality of templates. A content analysis component performs content analysis on the one or more candidate portions to determine whether each given candidate portion is relevant. A weighting component assigns a relative weight to each given candidate portion based on relevance.

Abstract: A computer-implemented method includes determining whether historical profile data structures are stored in a database with corresponding structured supplemental data and selected health care plan option identifiers of a set of health care plan option identifiers. The method includes generating historical feature vectors using the historical data structures stored in the database or generating the historical feature vectors using created sample profile data structures. The method includes training machine learning models using the generated historical feature vectors, selecting one of the machine learning models for use in generating recommendation outputs, presenting an interactive voice interface to an entity to generate audio questions and prompts for obtaining response data from the entity, classifying voice survey responses of the entity, and generating feature vectors.

Abstract: An apparatus comprising a communications interface configured to communicate over one or more networks, at least one processor and at least one memory including program code is provided. The at least one memory and the program code configured to, with the processor, cause the apparatus to at least receive, via the communications interface, an interparty transaction request. The interparty transaction request corresponds to an interparty transaction and identifying a first party and a second party. The apparatus generates a smart contract based on the interparty transaction request; stores a data entry indicating the generation of the smart contract to a distributed ledger; executes the smart contract to cause settlement of the interparty transaction between the first party and the second party; and stores a data entry indicating the settlement of the interparty transaction to the distributed ledger.

Abstract: A risk management system (RMS) device includes a RMS database and a RMS processor. The RMS processor includes a prescriber module to receive a request to enroll a patient in a RMS program of a therapeutic agent associated with multiple indications. The request includes a specification of at least one indication, and a confirmation of a diagnostic test conducted on the patient. The RMS processor also includes a patient module configured to generate a patient profile. The RMS processor also includes a database module configured to store the patient profile in the RMS database. The RMS processor also includes an authorization module configured to generate an authorization code indicating whether the patient is authorized to receive the therapeutic agent. The RMS processor also includes a communication module configured to transmit the authorization code to a pharmacy or a prescriber.

Abstract: A system and method for generating a total health index and recommending an actionable intervention for managing a health risk of a patient is disclosed. The method includes receiving user-generated data, clinical data, and pharmacy data in association with a patient, determining a social health index score based on the user-generated data, determining a clinical risk index score based on the clinical data, determining a medication adherence index score based on the pharmacy data, determining, using a machine learning model on one or more of the social health index score, the clinical risk index score, and the medication adherence index score, a total health index score and an actionable intervention for managing a health risk in association with the patient based on the total health index score, and automatically initiating the actionable intervention.

Abstract: A system, method, and apparatus for transferring blood donation files are disclosed. An example system includes a collection device located at a blood donation site and a collection server located in a remote location. The example collection device is configured to store blood donation information from blood donors within a blood donation batch file located at a designated directory of a memory, and store metadata related to the blood donation information to the blood donation batch file. The example collection device also transmits the blood donation batch file to a registered user device. The example collection server is configured to determine the registered user device is available via a network connection. Responsive to determining the user device is connected, the collection server acquires the blood donation batch file from the user device and aggregates the blood donation batch file with blood donation batch files received from other registered user devices.

Abstract: The embodiments disclose a method including using a monitor system for monitoring and detecting chemical compositions and biological pathogens, providing the monitor system configured to communicate with a cell phone, using at least one monitor/detector component, providing a plurality of biological sensors for detecting certain biological pathogens, and providing a plurality of chemical sensors for detecting certain chemical compositions.

Abstract: A mechanism is provided to orchestrates entitled execution of a set of analytics. The mechanism retrieves an analytic entry from an immutable data record source and identifies an analytic associated with the analytic entry, and an associated dataset. The analytic and the dataset are encrypted using an owner's key. The mechanism decrypts the analytic using a decryption key and executes the analytic based on the decrypting.

Abstract: This invention provides a system and method to measure weight and nutritional information of meal. The present application may be hosted on the cloud by the service provider or provide a tailor-made application for use in mobile computing devices that includes a digital camera working in combination with the neural network based application hosted over the internet. Photos captured by the mobile computing devices are analyzed by image processing module of the system. The neural network within the system learns from plurality of sub processes like image processing module, region of interest identification, thickness estimation etc. by updating or modifying the training data set after evaluations. The modified or updated dataset aid neural network in obtaining faster and precise results in future evaluations thus reducing the load on computing resources of the computing system of server, customers and restaurants.

Abstract: An apparatus and method for adjusting a user nourishment selection based on nutrient diversity, the apparatus comprising at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to receive a proposed user selection relating to nourishment, wherein the proposed user selection comprises a plurality of ingredients, evaluate each ingredient of the plurality of ingredients, wherein evaluating each ingredient includes extracting at least a nutrient from each ingredient of the plurality of ingredients and calculating a nutrient biodiversity score for the at least a nutrient, optimize the plurality of ingredients as a function of each nutrient biodiversity score, and adjust the plurality of ingredients as a function of the optimization of the plurality of ingredients.

Abstract: Disclosed here are systems and methods that allow users to create and customize workflow tolerances. The designed tolerances define and set guidelines, such as parameters, limitations, and tolerances, for the expected values of a workflow's input and output actions. The disclosed systems and methods, upon identifying values that fall out of determined guidelines, may: notify users of such values, trigger processes that pause or stop the workflow, and require user approval before resuming the paused/stopped workflow. Embodiments may comprise machine learning components that identify incorrect/irregular values without prior user designation. Such systems and methods improve communication technology between the networks and servers of separate parties relevant and/or dependent on successful execution of other workflows and processes; allowing for effective understanding, implementation, and engagement of workflows and processes across organizational boundaries.

Abstract: A medical apparatus according to an embodiment includes a processing circuitry. The processing circuitry is configured: to receive an input of test result information including a test result of each of tests that are related to a biological valve and were carried out at two or more different times; to estimate one of a test time for a follow-up observation of the biological valve and a test time for replacing the biological valve, on the basis of a chronological change in an open/close state of the biological valve derived from the received test result information; and to output the estimated test time.

Abstract: A computer implement method that assist healthcare payers in identifying potentially fraudulent claims and which requests confirmation preferably from a healthcare provider or patient of services rendered by the healthcare provider or products received by the patient. Confirmation of equipment and services can occur at different times in the settlement process including, but not limited to, prior to payments being made to health care providers.

Abstract: A system for calculating nutritional requirements in a display interface the system including a computing device configured to initiate a display interface within the computing device; retrieve an input, including an input credential, and wherein the input relates a representative profile to a nutritional requirement; generate a training set using the input; receive a meal option; calculate using a machine-learning process, a nutritional requirement of the meal option using the training set; determine the nutritional requirement of the meal option as a function of the machine-learning process; and display the nutritional requirement within the display interface.

Abstract: The invention includes remote-participation of a medical device manufacturing company representative in a medical procedure, whereby the device representative uses a variety of components to track and monitor devices in an operating room in “real-time,” while checking on device status and advising a surgeon through Wearable Video Technology rather than being physically present in the operating room. A system allows for a remote surgeon to advise surgeons, prepares for surgeries, chooses and tracks implant devices, evaluates and reports on device implantation, calibration and performance, evaluates surgeries and staff, prepares for and concludes procedures, trains medical staff members, performs billing functions, performs legal compliance functions, performs inventory restocking functions, and various other functions.

Abstract: Methods and systems for transferring restricted distribution medical products to an over-the-counter general sales environment are provided. Methods and systems of dispensing non-prescription, behind-the-counter medical products from a vending machine in a general sales location are also provided. In some embodiments, methods and systems are provided for dispensing a medical product from a vending machine in a general sales location based, at least in part, on biometric data collected from the purchaser and, in some instances, based on self-selection and/or de-selection criteria, is provided. Further, methods and systems of switching prescription medical products to non-prescription, over-the-counter medical products are provided.

Abstract: A computer-implemented method includes displaying a number of questions on a stack of overlapping graphical objects that dynamically indicates a status of the number of remaining questions, determining an output based on answers input by a user, and displaying an indication of the output.

Abstract: A wound multiple sensing method, including: calculating the similarity between the current data sequence and each of the case-data sequences in each of the reference cases; selecting the case-data sequence which has the greatest similarity with the current data sequence, from the case-data sequences in each of the reference cases, to be a similar case-data sequence in each of the reference cases, wherein each similar case-data sequence corresponds to a similar case treatment; performing a multiple regression analysis using the similar case-data sequences and the similar case treatments to calculate a fitness function, wherein the dependent variable of the fitness function is a wound change; performing a parameter optimization algorithm using the current data sequence and the fitness function to calculate an optimal treatment which maximizes the wound change, and to calculate an expected wound change value that corresponds to the optimal treatment.

Abstract: Phenotype analysis systems and methods. The methods described herein may involve receiving a phenotype query related to at least one phenotype of a patient. A processor executing instructions stored on memory may then select at least one of a first phenotype engine provided by a first entity and a second phenotype engine provided by a second entity to execute the received query on medical data associated with the patient. An interface may then output a result in response to the received phenotype query from at least one of the first and second phenotype engines.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for programmatic methodologies for determining and providing prior authorization requirements in a way that facilitates inputting information/data, updating information/data, searching information/data, viewing information/data, reporting information/data, and analyzing information/data while being broadly accessible to disparate systems.

Abstract: Methods and systems for analyzing data are described. In one embodiment, a method comprises a processor receiving a data analysis algorithm over a network and executing the data analysis algorithm, the data analysis algorithm analyzing data stored in a database using machine learning to identify a database organizational format, the data analysis algorithm identifying one or more locations for a set of data stored on the database based on identifying the database organizational format, the data analysis algorithm parsing the set of data to identify whether any entries in the database associated with the set of data includes a particular value, and the data analysis algorithm communicating over the network at least a first number of entries in the database that include the particular value and a second number of entries in the database that do not include the particular value.

Abstract: A method is provided for lowering blood sugar in a subject in need thereof by administering a gliflozin Sodium-Glucose Cotransport 2 inhibitor pharmaceutical composition to a subject qualified for over-the-counter access to the gliflozin Sodium-Glucose Cotransport 2 inhibitor pharmaceutical composition. In some embodiments, the gliflozin Sodium-Glucose Cotransport 2 inhibitor pharmaceutical composition includes empagliflozin, canagliflozin, and ertugliflozin. In some embodiments, the gliflozin Sodium-Glucose Cotransport 2 inhibitor pharmaceutical composition includes (2S,3R,4R,5S,6R)-2-[4-chloro-3-[(4-ethoxyphenyl)methyl]phenyl]-6-(hydroxymethyl)oxane-3,4,5-triol or a pharmaceutically acceptable salt thereof.