A method for collection and dissemination of biologic data, comprising collecting at least one biologic sample by a testing device including thereon an alignment target and including a plurality of immunoassay test strips, wherein the at least one biologic sample contacts a sample pad on at least one of the plurality of immunoassay test strips, assigning correlative values as test results, wherein each test performed on the biologic sample is assigned a different correlative value, receiving the test results at a server disposed on a network, wherein the server has configured thereon a database, assigning a unique identification to the biologic sample, storing the unique identification in the database, storing the test results in the database in association with the unique identification of the biologic sample, and providing access to the database to healthcare organizations for analysis of the test results.

Cumulus cell (CC) gene expression is being explored as an additional method to morphological scoring to choose the embryo with the highest chance to pregnancy. The present invention relates to a novel method of identifying biomarker genes for evaluating the competence of a mammalian oocyte in giving rise to a viable pregnancy after fertilization, based on the use of live birth and embryonic development as endpoint criteria for the oocytes to be used in an exon level analysis of potential biomarker genes. The invention further provides CC-expressed biomarker genes thus identified, as well as prognostic models based on the biomarker genes identified using the methods of the present invention.

A system for arranging and executing transport of alimentary components. Data is received by at least a server based off one or more diagnostic outputs of biological extractions, performed by a diagnostic engine, and a transport request based on the diagnostic outputs and other data pertaining to the user is transmitted to a client device associated with one or more physical performance entities. Based on the geographic location of the user and the transport request, one or more physical performance entities configured to transmit alimentary components aligning with the transport request are identified, and the transport request is transmitted to the client device based on a determination by the at least a server that the one or more physical performance entities include an ability to execute the transport request.

A mechanism is provided for implementing a dynamic context-based collaborative medical concept interpreter for automatically generating and presenting summarized explanations of medical concepts. The dynamic context-based collaborative medical concept interpreter performs natural language processing on a real-time patient-provider communication to identify one or more medical concepts referred to in the communication. The dynamic context-based collaborative medical concept interpreter adjusts one or more previous explanations for the one or more medical concepts referred to in the communication using a set of contextual factors. The dynamic context-based collaborative medical concept interpreter generates an abstractive summary that summarizes ranked explanations of the one or more medical concepts based on an original language used in the one or more previous explanations. The dynamic context-based collaborative medical concept interpreter presents, in real time, the abstractive summaries of the one or more medical concepts to the patient and the provider in real-time patient-provider communication.

In some examples, a system includes a memory configured to store a buffer storing volumetric weather data. The system also includes processing circuitry configured to retrieve weather radar data from the buffer by retrieving a first reflectivity value associated with a first cell of the buffer, where the first cell represents a first volume of space. The processing circuitry is further configured to determine an altitude of a first location based on a parameter and an altitude extent of the first volume of space. The altitude of the first location is lower than an altitude of a centroid of the first volume of space. The processing circuitry is also configured to associate the first reflectivity value with the first location.

Methods, apparatus, system and computer-implemented method are provided for a computer-implemented method of identifying candidate entities of interest associated with disease selection information. The method including: receiving a first set of entities that are predicted to be associated with the disease selection information; retrieving a second set of entities that are known to be associated with the disease selection information; generating a set of entity mappings between entities of the first set of entities, entities the second set of entities, and entities of a graph structure in relation to the disease selection information, the graph structure based on an entity hierarchy, ontology or taxonomy of an entity family associated with the first and second sets of entities, linking entities from the first and second sets of entities to the graph structure based on the generated set of entity mappings; and identifying candidate entities of interest from those linked entities of the first and second sets of entities on the graph structure based on determining where each entity from the first set of entities is located on the graph structure relative to one or more entities of the second set of entities on the graph structure.

A method for calibrating a LIDAR system proposes incorporating in the LIDAR system a reference optical path which is formed from an optical fiber. The length of the optical fiber determines a measurement reference value, which can then be used to evaluate distances of targets to be characterized using the LIDAR system. The calibration method is simple and economical to implement. It may be used in particular for a LIDAR system which is designed to perform air speed measurements, in particular on board an aircraft.

A computer-implemented method of selecting one or more amino acid sequences for inclusion in a vaccine from a set of predicted immunogenic candidate amino acid sequences includes identifying an immune profile response value for each candidate amino acid sequence with respect to each one of a plurality of sample components of an immune profile. The immune profile response value represents whether the respective candidate amino acid sequence results in an immune response for the sample components of the immune profile. A plurality of immune profiles are retrieved for a population. A plurality of representative immune profiles are generated for the population. The representative immune profiles overlap with the sample components of the immune profiles. The one or more amino acid sequences for inclusion in the vaccine that minimises a likelihood of no immune response for each representative immune profile, based on the immune profile response values, are selected.

According to an example embodiment, an apparatus for wind speed measurement is provided, the apparatus comprising: a pressure sensor arranged to provide a pressure sensor signal that is descriptive of an instantaneous air pressure; a wind shield arranged to prevent a direct airflow from the environment of the apparatus to the pressure sensor; and a processing unit for deriving, based on the pressure sensor signal, one or more wind speed characteristics that are descriptive of the wind speed at a predefined reference measurement height.

Embodiments of this application provide omics data processing method and apparatus based on a graph neural network, a device and a medium, and relate to medical, artificial intelligence, cloud data and other technical fields. The method includes: acquiring first omics data of a target object; extracting, at least two first omics features from the first omics data; determining, a first correlation between different omics features; constructing based on the at least two first omics features and the first correlation, a first graph structure corresponding to the first omics data, the first graph structure comprising at least two nodes and at least one connecting edge; obtaining, a node feature of each node in the first graph structure through a first graph neural network based on the first graph structure; and performing medical analysis on the target object based on the node feature.