Abstract: Methods and systems are disclosed for component deconvolution by a mixture model based on methylation information. A mixture model may be trained agnostic of labels or known component contributions. A system generates a methylation signature for each of a plurality of training samples. The methylation signature may be based on a count or a percentage of a methylation variant(s) expressed in the methylation sequence reads of a training sample at each genomic region of a plurality of genomic regions. The system may train the mixture model using maximum likelihood estimation to deconvolve the component contributions. The mixture model may comprise component submodels and a deconvolution submodel. The component submodels predict a component likelihood based on the methylation signature. The deconvolution submodel predicts the component contributions based on the component likelihoods.

Abstract: Systems, methods, and storage media useful in a computer healthcare system to consume clinical quality language queries in a programmatic manner are disclosed. Exemplary implementations may: load a CQL query from a third party; transform the CQL query to a modified structured query language query; load medical data elements from a database record store for each patient in one or more defined patient populations; execute the modified SQL query on medical data elements from the database record store for each patient in one or more defined patient populations; and load results of the modified SQL query.

Abstract: A cranial prosthetic comprises a perforated plate, wherein the perforations comprise a plurality of holes substantially equidistant from a central point. One such cranial prosthetic comprises a curved perforated plate, wherein the perforations comprise four holes substantially equidistant from a central point. In an example, the perforated plate also comprises an additional hole at the central point, detachable screw/suture fixing tabs for attaching the cranial prosthetic to the cranium via screws/sutures, detachable securing means consisting of flaps that secure the electrode when closed, and indentations in the form of channels suitable for recessing extension leads with at least one exit point, which connect individual electrodes to the main lead. Removable protective caps may be placed over the detachable securing means when closed.

Abstract: An end-effector for an endoscopic surgical instrument, the end-effector comprising: a tool configured to interact with tissue; a main body comprising a bearing stud, the tool being connected to the bearing stud; a base comprising a surface facing the bearing stud, the bearing stud and the surface forming a ball joint; and a plurality of tendons connected to the main body so as to control movement of the tool in two degrees of freedom.

Abstract: This specification generally relates to cranial prosthetics and their use in therapy. More specifically the specification relates to a cranial prosthetic, which comprises a perforated plate, wherein the perforations comprise a plurality of holes substantially equidistant from a central point. One such cranial prosthetic comprises a curved perforated plate, wherein the perforations comprise four holes substantially equidistant from a central point. The plate also comprises an additional hole at the central point, detachable screw/suture fixing tabs for attaching the cranial prosthetic to the cranium via screws/sutures, detachable securing means consisting of flaps that secure the electrode when closed, and indentations in the form of channels suitable for recessing extension leads with at least one exit point, which connect individual electrodes to the main lead. Removable protective caps may be placed over the detachable securing means when closed.

Abstract: Methods, systems, and computer-readable media are provided for generating and outputting medical billing data. Data is captured by pervasive devices before, during, and after a patient encounter with a healthcare provider. Any unstructured data is transformed into usable structured data, and determinations, such as a service provided by the healthcare provider, are made based on that data as well as other stored data. Based on those determinations, billing data for billing claims related to the patient visit is generated and outputted to a payer of the claims. The billing data may include a medical code that is predicted by a billing model. Billing models may be created from data captured by the pervasive devices from patient visits and data in external data stores, such as electronic health records.

Abstract: Systems, methods, and storage media useful in a computer healthcare system to consume clinical quality language queries in a programmatic manner are disclosed. Exemplary implementations may: load a CQL query from a third party; transform the CQL query to a modified structured query language query; load medical data elements from a database record store for each patient in one or more defined patient populations; execute the modified SQL query on medical data elements from the database record store for each patient in one or more defined patient populations; and load results of the modified SQL query.

Abstract: Methods, systems, and computer-readable media are disclosed herein for generating a disease-agnostic data model that can be used to predict the onset of multiple chronic diseases in individual patients. In an aspect, the data model is made by autonomously selecting features from longitudinal medical records of patients having chronic diseases that will become predictors for the onset of a chronic disease. The features are vectorized around a disease onset date and processed through a recurrent neural network to produce the data model. Then, the data model may leveraged to predict, for new longitudinal medical records that are input, a future time period when another patient is predicted to experience the onset of the chronic disease. The same data model may utilized to make predictions for multiple chronic diseases.

Abstract: Systems and methods are provided for determining whether a test subject has a disease condition. In one aspect, the method includes determining at least first and second genotypic data constructs for a test subject, formed from data collected from first and second sample from the subject, respectively, at different times. The first and second genotypic data constructs are inputted into a model for the disease condition, thereby generating first and second model score sets for the disease condition, respectively. A test delta score set is determined based on a difference between the first and second model score sets. The test delta score set is evaluated against a plurality of reference delta score sets, to determine the disease condition of the test subject, where each reference delta score set is for a respective reference subject in a plurality of reference subjects.

Abstract: A remotely operated blood flow occlusion or restriction cuff for use as a muscle building device or a compact medical emergency reperfusion tourniquet. A module on the cuff housing an air pump, a controller operating the air pump and power supply. The inflation and deflation of the cuff controlled using a smart device in communication with the controller. In the preferred embodiment this is via a Smartphone app and Bluetooth protocol. The tourniquet operating in conjunction with a Doppler ultrasound and/or pulse oximeter to monitor arterial inflow.

Abstract: Various parts of email content or entire emails may be recalled or modified after delivery through the use of links to cloud-storage, where the various parts of the email content may be stored. Different notification and modification methods may be employed to modify delivered content even after it is rendered for a recipient. While recipients may have a latest version of the email content, senders may be enabled to see a version history of changes in delivered email content.

Abstract: Mapping of semantics in healthcare may involve accessing first transaction data in a first database, the first transaction data corresponding to a collection of a first number of fields defined for a condition using a first semantic system to store information and calculating a first distribution of information in the first transaction data. Mapping may also involve accessing second transaction data in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information, and calculating a second distribution of information in the second transaction data. The distributions may then be compared and a map relating the semantic systems may be generated and used to communicate between the first and second semantic systems.

Abstract: Various parts of email content or entire emails may be recalled or modified after delivery through the use of links to cloud-storage, where the various parts of the email content may be stored. Different notification and modification methods may be employed to modify delivered content even after it is rendered for a recipient. While recipients may have a latest version of the email content, senders may be enabled to see a version history of changes in delivered email content.

Abstract: A blockchain or other cryptographic ledger platform with a keypair-based identity for issuance of tokens using machine readable indicia embedded within product packages and/or encoded external to the product packages. The platform generates blocks for a blockchain or other cryptographic ledger to record data relating to the product supply chain and token issuance and redemption.

Abstract: Adaptive medical data collection for medical entities may involve triggering an analysis of electronic records in response to information input into an Electronic Medical Record (EMR) of a patient. Determining a potential condition for the patient based on the analysis. Identifying additional information indicated as relevant to the potential condition of the patient, and generating a request for the identified additional information.

Abstract: Various parts of email content or entire emails may be recalled or modified after delivery through the use of links to cloud-storage, where the various parts of the email content may be stored. Different notification and modification methods may be employed to modify delivered content even after it is rendered for a recipient. While recipients may have a latest version of the email content, senders may be enabled to see a version history of changes in delivered email content.

Abstract: Adaptive medical data collection for medical entities may involve managing content by receiving data indicating a context, identifying at least one application or knowledge base associated with the context, designating the identified application or knowledge base as active, and accessing the active application or knowledge base to provide information at an interface point for a medical professionals and a patient.

Abstract: Adaptive medical data collection for medical entities may involve triggering an analysis of electronic records in response to information input into an Electronic Medical Record (EMR) of a patient. Determining a potential condition for the patient based on the analysis. Identifying additional information indicated as relevant to the potential condition of the patient, and generating a request for the identified additional information.

Abstract: Mapping of semantics in healthcare may involve accessing first transaction data in a first database, the first transaction data corresponding to a collection of a first number of fields defined for a condition using a first semantic system to store information and calculating a first distribution of information in the first transaction data. Mapping may also involve accessing second transaction data in a second database, the second transaction data corresponding to a second semantic system different than the first semantic system and the second database comprising a second number of fields using the second semantic system to store information, and calculating a second distribution of information in the second transaction data. The distributions may then be compared and a map relating the semantic systems may be generated and used to communicate between the first and second semantic systems.