Abstract: A pharmaceutical refrigerator operation support system includes a server, a pharmaceutical refrigerator, a first computer that sends to the server information about a first medicine, information about a first RFID tag attached to the first medicine, and information about a first pharmaceutical distribution institution, and a second computer that sends to the server information about a second medicine, information about a second RFID tag attached to the second medicine, and information about a second pharmaceutical distribution institution. The server manages a status of medicine in the pharmaceutical refrigerator by identifying the first medicine as a medicine delivered by the first pharmaceutical distribution institution and identifying the second medicine as a medicine delivered by the second pharmaceutical distribution institution, based on information received from the pharmaceutical refrigerator, the first computer, and the second computer.

Abstract: A computer-implemented method, computer program product and computing system for: monitoring a plurality of data signals associated with one or more patients within a medical environment over a defined period of time; generating a shift-change report for the one or more patients, wherein the shift-change report includes one or more of: a summary of the medical history of the one or more patients over the defined period of time, a recommendation concerning the one or more patients based, at least in part, upon the history of the one or more patients over the defined period of time, and a justification for the recommendation for the one or more patients.

Abstract: A computer-implemented method, computer program product and computing system for: monitoring a plurality of data signals associated with a plurality of patients within a medical environment over a defined period of time; calculating an acuity score for each of the plurality of patients, wherein the acuity score defines the overall care needs of each of the plurality of patients; and generating a rounding list that prioritizes the plurality of patients based, at least in part, upon the acuity scores.

Abstract: In response to the difficulty in disease early diagnosis and low diagnostic accuracy in the prior art, a disease early diagnosis system based on sebum gas analysis is provided, which combines a micro-electro-mechanical system, a novel two-dimensional material and a metal surface plasma resonance technology to provide a device for sebum gas collection and infrared spectrum enhancement, which collects human body trace sebum gas and enhances its infrared spectrum by metal plasma resonance, and then the sebum gas metal-plasma-enhanced infrared spectrum is inputted into a disease early diagnosis model for analysis, and ultimately achieved early diagnoses of diseases. The method is a truly non-invasive disease diagnosis method, which is non-invasive, simple, efficient, and has the advantages of no pollution to the environment and no ecological damage.

Abstract: A computer-implemented method of automatic registration of a device in a laboratory system comprising: transmitting from the to be registered device specific information to a managing unit (“unit”) via a first interface; the unit requesting a solution specific configuration from a remote infrastructure via a second interface, receiving the solution specific configuration from the remote infrastructure via the second interface, and transmitting the solution specific configuration to the device to be registered via the first interface, the solution specific configuration being based on the device specific information and configuration information about the laboratory system; and transmitting a request from the unit comprising updated solution specific configuration to the laboratory devices, the updated solution specific configuration comprising information about the device to be registered and changes due to addition of said device, wherein the laboratory configuration step comprising providing the updated

Abstract: A method predicts an interpretation time for a medical image examination of a subject comprising one or more medical images. A plurality of data inputs is obtained, where the data inputs are associated with the medical image examination or the subject of the medical image examination, and the data points represent parameters affecting the interpretation time. The plurality of data inputs are input to a trained artificial intelligence algorithm, wherein the algorithm automatically provides a predicted interpretation time based on said plurality of data inputs. The predicted interpretation time is output to a clinical management system. A clinical management system incorporating the aforementioned method and a computer program product encoded with the aforementioned method are also provided.

Abstract: A monitoring system comprises sensors adapted to be worn by a user, and, a processor linked with the sensor. The processor receives sensor data and processes this data to determine user posture data including data indicative of vertical distance between level of the user's heart and ankle. Based on the posture data together with a value for degree of user chronic venous insufficiency and/or blood density, generate an estimate of user static venous pressure while the user is static, without calf muscle pump activity. The processor also processes the sensor data to determine if there is calf muscle pump activity, and generates an estimate of user active venous pressure according to the static venous pressure estimate, rate of calf muscle activity, and a value for degree of user chronic venous insufficiency. The processor may generate the venous pressure estimate in real time, and may control an NMES device accordingly.

Abstract: A system for testing a benefit plan for quality assurance is provided. A test adjudication engine is configured to process claims in accordance with the benefit plan, each of the claims having one or more parameters. A database is configured to store the benefit plan and quality assurance data, the quality assurance data including: (a) historical claims, each historical claim having an associated historical adjudication, and (b) new claims, each new claim not having an associated historical adjudication. An interactive dashboard is configured to allow a user to batch claims for processing by the test adjudication engine, from among the historical claims and the new claims, based on the one or more parameters.

Abstract: A system and method for pharmacy-level surveillance of all prescription behaviors using one or more artificial intelligence (AI) agents integrated with real-time prescription records, refill timelines, prescriber data, patient histories, PDMP registries, and epidemiological signals. The system evaluates these inputs with configurable heuristics and machine-learned models to detect prescription abuse, public health risks, and equity or bias trends, including overlapping providers, dosage escalation, refill velocity, and prescriber clustering. When an anomaly is identified, a structured alert is routed to pharmacists, prescribers, or regulatory personnel through a secure, role-authenticated communication interface. Each system transaction and user outcome is captured by a Medical Data Governance (MDG) layer, providing cryptographic sealing, timestamping, and immutable ledger storage. In some embodiments, the audit log uses a blockchain-based distributed ledger.

Abstract: The present invention provides a machine learning-based system designed to automatically generate and associate classes or videos offered on an educational platform with topic tags. The machine learning-based system leverages both extractive and predictive topic tagging techniques: extractive tagging identifies relevant topics directly from content, while predictive tagging uses machine learning models trained on pre-tagged content to predict relevant topics for new content. This dual approach ensures both accuracy and comprehensiveness in tagging.

Abstract: A messaging service method and apparatus are disclosed. A method of operating a terminal executing an instant messenger according to an embodiment is disclosed. The method may include obtaining information about a time zone of a sending target of a scheduled message. The method may include setting a sending time of the scheduled message based on the information about the time zone of the sending target. The method may include requesting registration of a record about the scheduled message in response to a user account.

Abstract: A deep-learning-based medical image interpretation system and method uses one or more neural network models to analyze medical images of animals. Result sets from the one or more neural network models are used to create one or more medical diagnoses. One or more treatment options are generated in response to the one or more medical diagnoses. One or more animal products may be suggested related to care of the one or more medical diagnoses.

Abstract: The present invention relates to a digital copyright creation module that creates a digital copyright of digital content created using generative AI, and a digital content distribution apparatus and method using the same, and the digital content distribution apparatus includes a digital content creation management unit; and a digital content distribution management unit.

Abstract: Provided are systems and methods for capturing outcome information associated with various cancer treatments. The system facilitates capture and analysis of cancer treatment information and associated outcome information. The treatment and outcome information can include genomic analysis and information on treatment of different cancers. The system can store and analyze any one or more of: tumor type, genomic alterations (e.g., genes and associated alterations, gene sequence mutations, alterations, amplifications, deletions, etc.), and treatment data (including, for example, treatments targeted to specific genes and/or genomic alterations). Users of the outcome system can supply and use the treatment and outcome information to facilitate diagnosis and therapy decisions. User interfaces within the system can be configured to allow users to easily locate outcome information associated with particular treatments of tumors having certain genomic alterations.

Abstract: A personalised artificial-intelligence (AI) case-manager platform provides real-time, policy-constrained clinical decision support. It ingests heterogeneous data from electronic-health records (EHRs), connected medical devices, and clinician inputs; fuses them with a traceable, multilingual reasoning engine; and screens every candidate action through a multi-tier policy-constraint layer that respects patient-consent artefacts, safety grammars, and jurisdictional rules. Dual-factor credential verification and dynamic, role-based access control secure all protected-health-information (PHI) transactions, while a cryptographically chained audit trail—keyed by a global trace identifier—records inputs, rules, overrides, and triggered workflows. Authorised feedback is adjudicated and fed to adaptive learning modules that tune patient-specific and population-level behaviour.

Abstract: As disclosed herein a precision based immunomolecular augmentation (PBIMA) high specificity patient profiling networked computer system, rapid therapeutic vaccine design method, and personalized vaccine, which utilizes immuno-molecular biopathway HLA affinity mapping and selection prediction ranking tools. This PBIMA approach comprises: Strategic-Selection, Molecular-Mapping, Antigen-Alignment, Receptor-Recognition, and Tactical Technology (SMART). The platform obtains data from a patient's genes and proteins as input. NGS data, including WES, WGS, ctDNA and cfDNA, RNAseq uses as input. PBIMA comprises a gene-protein-cell Cloud-based sequence editing interface to select the high confidence peptides. The PBIMA vaccine is a solution-based multi-purpose vaccine design strategy. PBIMA technology can produce therapeutic vaccines for cancer, autoimmune, neurodegenerative, inflammation-driven disease, and novel pathogen infection treatment. PBIMA therapeutic design is multi-mechanistic and broad-spectrum.

Abstract: A system for monitoring a physiological state of an object under examination in remotely controlled procedures includes a remote control unit for remote control of a remote manipulation unit, the remote manipulation unit for performing a procedure step, a capture unit for capturing state data of the object under examination, and a provider unit for classifying the state of the object under examination. When an expected state is present, the remote manipulation unit performs the procedure step. When a deviating state is present, the provider unit provides a remote signal to the remote control unit and a local signal to the output unit, the output unit outputs to local operating personnel a first workflow notice, and the remote control unit adjusts the remote control of the remote manipulation unit, outputs a second workflow notice to the remote operating personnel, and/or provides an alternative remote control signal.

Abstract: Introduced here are diabetes management platforms able to make annotations to physiological data of a subject whose glycemic health state is being monitored. These annotations can be used to classify excursions detected in the physiological data to facilitate the identification of a therapeutic behavior change intended to improve the glycemic health state of the subject. For example, a health coach may review the annotation(s) associated with the subject before generating a recommendation for improving the glycemic health state. As another example, the diabetes management platform can automatically identify an appropriate recommendation based on the annotation(s).

Abstract: Generally, described herein are computer-implemented systems and methods for self-guided education in various aspects of health care. The described systems and methods effect behavior change through a functional relationship between the content of educational case packages comprising a plurality of displays, each of which has one or more completion conditions which must be completed by the user in accordance with a health care procedure to be practiced. The performance of the case by the user habituates behavior change through practice of a health care procedure.

Abstract: A data processing system for insurance claims analysis and adjudication implements obtaining policy coverage information for each of a plurality of insurance policies and insurance claim information associated with a plurality of insurance claims associated with an insured user, analyzing the insurance claim information using a first machine learning to obtain event-related claim grouping information; analyzing the event-related claim grouping information and the standardized policy information using the second machine learning model to obtain coverage prediction information comprising a prediction, for each event of the one or more events, identifying a respective insurance policy of the plurality of insurance policies likely to cover the one or more claims associated with each event, the second machine learning model being trained using second training data formatted according to the standard schema; and providing, via a network connection, the coverage prediction information to a computing device associate