Abstract: The present disclosure refers to a method for operating a system, the system comprising a medical device (1), having at least one of a sensor device for sensing medical data and a medication delivery device for delivering medication, a portable electronic consumer device (2), an intermediate device (3) provided with a first communication protocol for data communication with the portable electronic consumer device (2) and a second communication protocol for data communication with the medical device (1), and a control module (6) provided in the intermediate device (3), the method comprising, in the control module (6), receiving control data from the portable electronic consumer device (2) by a receiving functionality provided in the control module (6), the control data being configured for controlling operation of the medical device (1), determining whether the control data can be confirmed by a confirmation functionality provided in the control module (6), and if the control data are confirmed, transmitting t

Abstract: Disclosed embodiments include a server computer system that can create a patient profile identifying a group of individuals including a user of a client device and only one patient corresponding to an individual other than the user of the client device. The patient profile can include an assessment and a treatment for the patient based on the assessment. The server computer system can receive, from the client device over a computer network, data values selected by the user of the client device, where the data values are indicative of observations of the patient's activity. The server computer system can further update the patient profile based on the received data values such that the data values influence the treatment, and send, to the client device over the computer network, a message including guidance for the user of the client device to implement the treatment.

Abstract: A computer-assisted method including obtaining healthcare records from multiple different data sources that each provide information regarding a corresponding type of healthcare events, identifying healthcare records from the multiple different data sources that are for a healthcare event associated with a particular individual and that occurred during a particular period of time, and generating a composite record for the particular individual for the particular period of time, and storing the composite record in a database of composite records. The composite record include an identifier for the particular individual, a pharmaceutical transactions array, where each entry in the pharmaceutical transactions array represents a pharmaceutical transaction that occurred during the particular period of time, and a medical visit array, where each entry in the medical visit array represents a medical visit that occurred during the particular period of time.

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 method comprises providing a pre-treatment image of a target subject to at least one deep learning model uniquely trained to predict immunotherapy treatment responses. The method further comprises generating, by a processing device, a predicted treatment response score to a treatment based on the single pre-treatment image and the at least one deep learning model. The method further comprises providing, based on the predicted treatment response score, a recommended treatment plan.

Abstract: Systems and methods for providing a universal platform for at-home health testing and diagnostics are provided herein. In particular, a health testing and diagnostic platform is provided to connect medical providers with patients and to generate a unique, private testing environment. In some embodiments, the testing environment may facilitate administration of a medical test to a patient with the guidance of a proctor. In some embodiments, the patient may be provided with step-by-step instructions for test administration by the proctor within a testing environment. The platform may display unique, dynamic testing interfaces to the patient and proctor to ensure proper testing protocols and accurate test result verification.

Abstract: Methods and systems and computer readable media are provided for processing digitized radiology images of a patient's tissue to perform a tissue density assessment. A set of radiology images is analyzed with a tissue density image classifier, wherein the tissue density classifier includes a plurality of classifiers. A features vector is generated, for each processed image in the set of radiology images, based on the processing. The features vector is provided, for each processed image in the set of radiology images, to a tissue density classifier to obtain an output. A final tissue density score is assigned based on the output of the tissue density classifier.

Abstract: A computer-implemented system and method is disclosed for inventory management including an inventory machine, a medication tray, and at least one marker. A medication tray includes a plurality of compartments to receive medications and other items, where each compartment is designated as a receptacle for a specific item or type of item. A marker is provided for each item placed in a compartment, and insertion of a medication tray into an inventory machine enables components to scan for markers. The markers are configured to generate identifying data and other data related to an item upon being scanned by an imaging apparatus and processed by a decoder apparatus. The correct/incorrect location of items within a medication tray, among other information, is determined in an automated fashion as part of the computer-implemented inventory management system and method.

Abstract: An AI record matching system includes processors that may compare patient records using one or more rules, criteria, or parameters and determine whether any of the patient records include different demographic information but include same medical information for a same person based on comparing the patient records using the one or more rules, criteria, or parameters. The processors may receive feedback data indicating an overmatching of the patient records to the same person or an undermatching of the patient records to the same person. The processors may be trained by modifying the one or more rules, criteria, or parameters based on the feedback data. The processors may iteratively repeat one or more of examining the patient records, determining whether any of the patient records include the different demographic information but the same medical information for the same person, receiving the feedback data, and training the one or more processors.

Abstract: Methods, systems, and apparatus for a method that predicts an individual survival survival time of a patient. The method includes obtaining clinical data associated with health factors of the patient. The method includes obtaining liquid biopsy data associated with one or more attributes of diseased cells within the patient. The method includes predicting or determining a survival time of the patient using a deep learning model based on the clinical data and the liquid biopsy data. The method includes providing or outputting the survival time.

Abstract: A host-client data sharing system manages diabetes care data. A host database, preferably web or interne based, is implemented for storing diabetes care data relating to multiple diabetics. A client or local database stores the diabetes care data relating to multiple diabetics on a personal appliance such as a PC, or a portable or handheld microprocessor-based computing device. The host database uses multiple servers for handling client interactions with the system.

Abstract: The present disclosure is related to visual annotations on medical images. A system may include a processor configured to process input data and identify a relationship amongst received input data in a data set. The system may also include an aggregator coupled to the processor and configured to receive processed data from the processor and aggregate data within the data set while maintaining one or more data relationships within the data set. Further, the system may include an annotation service module coupled to the aggregator and configured to generate at least one annotation that is maintained across at least a portion of the data within the data set.

Abstract: A system comprising an assessment engine configured to asynchronously transmit assessment questions to a user and, in response, receive a plurality of personal data from a user. A behavior module communicatively coupled to the assessment engine and operable to generate a behavior profile associated with the user based, at least in part, on the plurality of personal data. The behavior profile configured to identify one or more addiction habits of the user and respective one or more triggers operable to induce the user to desire the one or more addiction habits. A plurality of sensors positioned proximate the user to provide real-time measurements of one or more biological conditions of the user body. A prediction module communicatively coupled to the plurality of sensors, the prediction module operable to predict occurrence of the one or more triggers based on the behavioral profile and the real-time measurements of the one or more biological conditions of the user body.

Abstract: Systems and methods are provided for delivering consistent high quality, cost efficient results in fixed or mobile endoscopy facilities, without requiring the continuous real-time involvement of a fellowship trained gastroenterologist, by integrating patient specific information into decision support systems and AI/machine learning systems employed during the planning and examination phases of the endoscopy procedure.

Abstract: A database query processing system for blood donation tracking includes a database, a network interface circuit and a processing circuit. The database stores records for a plurality of blood donors, each record comprising an amount of a blood component the blood donor has donated. The processing circuit determines an amount of a blood component a first donor may donate based on records for a plurality of donations made by the first blood donor and based on a limit of an amount of blood component the donor may donate in a predetermined period of time. The processing circuit further receives a request for the amount of the blood component the first donor may donate and transmits the amount of the blood component the first donor may donate to the remote computing device.

Abstract: A system and method for patient data processing during diagnosis and therapy of a patient's sleep disorder breathing. The system and method includes providing diagnostic providers and therapy device providers with a simple and fast way to generate a clinical diagnosis from a diagnostic device and to transfer that patient's record and diagnostic data to the therapy provider responsible for the patient's ongoing care. The patient may be automatically assigned therapy devices having predetermined therapy settings that are based on the patient's record and diagnostic data.

Abstract: Techniques are provided for identifying interactions between natural medicines and modern medicines. A corpus of information is analyzed pertaining to interactions of natural medicines with modern medicines for treating a condition. A mapping is created, wherein natural medicines are mapped to modern medicines for treating the condition. An on-line clinical trial study group is created, allowing participation by users, wherein a participation in a group is allowed for a selected set of users based on a group medication usage profile. Information from participants in each group is collected, and the collected information is analyzed.

Abstract: Systems and methods for developing a disease detection model. One method includes training the model using an image study and an associated disease label mined from a radiology report. The image study including a sequence of a plurality of two-dimensional slices of a three-dimensional image volume, and the model including a convolutional neural network layer and a convolutional long short-term memory layer. Training the model includes individually extracting a set of features from each of the plurality of two-dimensional slices using the convolutional neural network layer, sequentially processing the features extracted by the convolutional neural network layer for each of the plurality of two-dimensional slices using the convolutional long short-term memory layer, processing output from the convolutional long short-term memory layer for each of the plurality of two-dimensional slices to generate a probability of the disease, and updating the model based on comparing the probability to the label.

Abstract: Various analytics systems are disclosed. An analytics system is configured to communicably couple to a surgical hub. The surgical hub is configured to communicably couple to a modular device that is controlled by a control program. The analytics system comprises a processor and a memory coupled to the processor.

Abstract: Systems and methods provide customizable insurance according to consumer preferences. Demand simulators may be used to guide the creation of optimized packages of features, which consumers may select from to form an insurance product appropriate for their particular needs. Packages may be formed with a particular appeal to consumers with common characteristics. In addition, methods are provided for selling insurance products formed through an optimization process and providing corresponding insurance services.