Abstract: A process for configuring an account for a desktop application uses a central data processing facility to configure a release for a trading partner, which release includes the preferred method of receiving documents and preferred format for the content; configures an intake download by storing settings for how to export and import documents; configures intake rules to determine how to route received documents; installs a Desktop from the web portal onto a local data processing system; and automatically synchronizing the Desktop to the portal. A process for ensuring the secure delivery of information about a patient sends a verification fax sheet to a fax number of a recipient instructing the recipient to go to a website; validates the recipient after the recipient has visited the website; tests the recipient at the website using questions specific to the patient; and sends the confidential information to the fax number if the recipient passes the test.

Abstract: Aspects of the present disclosure provide a computer-implemented method that includes obtaining the medical condition of the individual based at least in part on a personal identifier associated with the individual, the medical condition being determined by performing natural language processing of medical information associated with the individual. The method further includes obtaining characteristics of the plurality of items. The method further includes comparing the characteristics of the plurality of items to a restriction associated with the medical condition of the individual. The method further includes, responsive to determining that at least one of the characteristics of the plurality of items violates the restriction associated with the medical condition of the individual, preventing the individual from obtaining the item of the plurality of items associated with the violation.

Abstract: Disclosed herein are systems and methods for associating metabolites with genes. In some embodiments, after potential metabolites are identified based on spectroscopy data of the content of an organism, possible reactions capable of producing the potential metabolites are determined. The possible reactions are compared to gene sequences in a database, and an association score for the likelihood that a gene sequence is related to the potential metabolites is calculated.

Abstract: The present disclosure provides a traditional Chinese medicine (TCM) syndrome classification method based on multi-graph attention, which comprehensively considers the contribution of symptoms and syndrome elements in syndrome classification by constructing a graph structure, integrates a symptom-symptom graph and a symptom-syndrome element graph into classification, uses a multi-graph attention network to aggregate the features of symptoms and syndrome elements, and finally realizes syndrome classification through a multi-layer perceptron. At the same time, extensive experiments are carried out on real data sets, the effectiveness of the multi-graph attention network is verified, more accurate classification is realized, and better classification results have been achieved.

Abstract: Generally described, one or more aspects of the present application relate to enabling determination of a predicted surgical efficacy of a proposed surgical intervention and a predicted pattern of post-operative recovery for the patient. More specifically, the present disclosure provides a system that can analyze the patient data of a plurality of patients data, generate analytics data indicating the post-operative recovery of the plurality of patients, and store the analytics data in association with the biological traits of the patients and the types of surgical interventions that the patients had. Subsequently, the system can analyze the patient traits and activity data of a patient, and output, based on the previously generated analytics data, a prediction of how efficacious a given surgical intervention might be for that patient and/or how the patient might recover from the given surgical intervention.

Abstract: An AI based platform for processing information collected during a medical procedure. A method includes capturing images and speech during a medical procedure; processing the images using a trained classifier to identify image-based quality-of-care indicators (QIs); converting the speech into text; parsing the text into sentences; performing a search and replace on predefined text patterns in the sentences; identifying text-based QIs in the sentences; classifying sentences into sentence types using a trained model; updating sentences by integrating the image-based QIs with text-based QIs; and outputting structured data that includes sentences organized by sentence type.

Abstract: Methods, systems, and computer-readable media for a system and method are provided for assessing the value of predictive models monitoring medical conditions. Trends in an individual's medical condition are determined based on monitoring values, and the trends are associated with the actions performed in response to the monitoring values and in accordance with the predictive models. The trends may indicate that an individual's condition is improving, worsening, or remaining stable in response to the action taken. Models used for multiple conditions for an individual or for a population of individuals may be assessed in this manner to generate knowledge regarding the performance of the models based on the actions taken. This knowledge may be used to assess the value of the models in terms of the models' performance and may provide insight on way to improve the models.

Abstract: This disclosure relates to a medical image viewer for incorporating multi-user collaboration features, such as in-image commenting and workspace sharing. An example method includes receiving a comment location including image coordinates and comment information associated with the comment from a user device. The comment information includes a text body, identify identity information related to the user, and a comment creation date. The example method further includes determining world coordinates based on the image coordinates, and storing the world coordinates and the comment information as a subset of header attributes of the DICOM image file.

Abstract: Technologies and techniques for operating a resource management system for medical software applications. Profile parameters of a first health care facility are received and processed to select one of a plurality stored profile data that contain profile parameters having a threshold similarity to the profile parameters for the first health care facility. A system resource manager loads resource management data associated with the selected profile data, wherein the resource management data comprises data relating to capabilities and capacities of the health care facility associated with the selected profile data. A systems intelligence manager performs predictive processing on the resource management data of the selected profile data to determine via simulation if the resource management data meets a threshold. The resource management data of the selected profile data is transmitted to the first health care facility for execution in the resource management software and updated using feedback data.

Abstract: A resource management system for medical software applications. Profile parameters of a first health care facility are received and processed to select one of a plurality stored profile data that contain profile parameters having a threshold similarity to the profile parameters for the first health care facility. A system resource manager loads resource management data associated with the selected profile data, wherein the resource management data comprises data relating to capabilities and capacities of the health care facility associated with the selected profile data. A systems intelligence manager performs predictive processing on the resource management data of the selected profile data and feedback data to update resource management data. The resource management data and updates of the selected profile data is transmitted to the first health care facility for execution in the resource management software.

Abstract: Embodiments of the present disclosure create an “exchange” where dentists who invest in on-site restoration technologies can share their restoration design, restoration supplies, characterization knowledge, and idle milling time with local dentists. Suppliers can further offer quality control by double checking designs and selections. The platform of shade measurements, block selections, and characterization recommendations further serves as a resource to the dental community at large for improving shade matching in dentistry restorations.

Abstract: Systems and methods for intraoral scanning include determining, by an appointment management system, a condition that dental impressions have not been received from a user within a threshold time period where the user was provided with an in-home dental impression kit, generating and communicating a message to the user based on the condition where the message prompts the user to schedule an appointment at an intraoral scanning site, receiving a request to schedule an appointment at the intraoral scanning site where the intraoral scanning site has an intraoral scanner configured to conduct an intraoral scan of a mouth of the user, and conducting the intraoral scan using the intraoral scanner at the intraoral scanning site where the intraoral scan generates three-dimensional data of the mouth of the user.

Abstract: A sensor-based leading indicator management ecosystem is described. Sensor data associated with the individual, possibly within a Personal Area Network (PAN) and related to the healthcare of the individual, is compiled and converted to a one or more sets of leading indicators with respect to one or more possible future healthcare actions. Leading indicators may then be compiled into one or more condition state vectors that represent encoded inputs into one or more trained action prediction agents. The trained action prediction agents then generate, possibly in real-time or based on time-series data, predicted actions that may be required at a predicted point-of-care or a moment-of-care. Further, action prediction agents may be context or domain specific.

Abstract: A real-time diagnosis aid method including: (a) providing a decision-support system for autonomous medical diagnosis to a user of a medical system, the system comprising a display module and software modules embodied on a computer readable medium; (b) generating on the display module an ordered list of diagnostic clues to look at by the user according to the diagnostic clues already filled in as absent or present, the ordered list being based on the relevance of looking at respective diagnostic clues to quickly lead to a diagnosis by the user; (c) receiving from the user, information on presence or absence of one or more diagnosis clues listed in the ordered list; and (d) processing the received information to update the ordered list and provide on the display module an indication of the probability of each possible diagnosis.

Abstract: A system for facilitating interoperability among health care modules includes an interface configured to receive a first electronic record from a first health care module. The first electronic record has a first data structure. The system also includes a processor communicatively coupled to the interface. The processor is configured to analyze the first electronic record having the first data structure, and, based on the analysis, extract a portion of data from the first electronic record. The processor further creates a second electronic record using the portion of data from the first electronic record, where the second electronic record has a second data structure. The second data structure is configured to be compatible with a second health care module. The interface is further configured to transmit the second electronic record for display to the second health care module.

Abstract: A system for facilitating interoperability among health care modules includes an interface configured to receive a first electronic record from a first health care module. The first electronic record has a first data structure. The system also includes a processor communicatively coupled to the interface. The processor is configured to analyze the first electronic record having the first data structure, and, based on the analysis, extract a portion of data from the first electronic record. The processor further creates a second electronic record using the portion of data from the first electronic record, where the second electronic record has a second data structure. The second data structure is configured to be compatible with a second health care module. The interface is further configured to transmit the second electronic record for display to the second health care module.

Abstract: We disclose computational models that alleviate the effects of human ascertainment biases in curated pathogenic non-coding variant databases by generating pathogenicity scores for variants occurring in the promoter regions (referred to herein as promoter single nucleotide variants (pSNVs)). We train deep learning networks (referred to herein as pathogenicity classifiers) using a semi-supervised approach to discriminate between a set of labeled benign variants and an unlabeled set of variants that were matched to remove biases.

Abstract: A classification method and system for medical conditions based on the concept of subtypes, which are classes of patients whose medical fact patterns as analyzed in an N-dimensional space places them closer to other patients belonging to the same subtype than to patients who belong to different subtypes and, who share similar likelihood of certain specified outcomes. A computer system processes patient data for a plurality of patients from a set of patients called a cohort. The computer system processes the patient data for the cohort to group patients into sub-cohorts of similar patients, i.e., each sub-cohort includes patients who have similar medical fact patterns in their patient data. Patients in different sub-cohorts generally, but not necessarily, have significant differences in their patient data. The computer system generates quantitative definitions, describing the patients in the sub-cohorts.

Abstract: A patient-trial matching system (100) includes a structuralizer (102) configured to convert input non-structured patient health data and input non-structured clinical trial eligibility criteria into structured patient health data and structured clinical trial eligibility criteria by organizing a content of the non-structured data as known data elements. The patient-trial matching system further includes a semantic matcher (122) configured to match the structured patient health data and the structured clinical trial eligibility criteria based on user input matching criteria and outputs matched results. The patient-trial matching system further includes a ranking engine (126) configured to rank the matched results using ranking criteria (128), which include ranking patients matched to a clinical trial of interest in response to matching to find a group of trial patients and ranking clinical trials matched to a particular patient in response to matching to find a clinical trial.

Abstract: Comprehensive molecular profiling provides a wealth of data concerning the molecular status of patient samples. Such data can be compared to patient response to treatments to identify biomarker signatures that predict response or non-response to such treatments. This approach has been applied to identify biomarker signatures that correlate with response of cancer patients to platinum-based chemotherapy. Described herein are data structures, data processing, and machine learning models to predict a probability of benefit of a treatment for a disease or disorder of a subject having a particular set of biomarkers, as well as an exemplary application of such a model to precision medicine, e.g., to methods for selecting a treatment based on a molecular profile, e.g., a treatment comprising platinum therapy.