Abstract: Systems and methods for training a machine learning based natural language processor to process specialized language terms. A training corpus of labeled specialized language terms associated with a specialized subject area is assembled. A generated database query corresponding to a question comprising at least one specialized language term within the set of labeled specialized language terms is created with a machine learning based natural language processing process. A cost function is determined based on differences between the generated database query and contents in a knowledge graph mapping terms describing characteristics of entities associated with the specialized subject area. The natural language processing process is refined based on feeding back the cost function to create a refined natural language process.

Abstract: A method includes obtaining information associated with a database model, where the information includes configuration parameters of a database defined by the database model. The method also includes obtaining information defining data objects associated with an application, where the data objects are to be used by the application to access the database. The method further includes identifying one or more discrepancies between at least one of the data objects and the configuration parameters of the database. In addition, the method includes modifying the at least one data object to conform the application to a current configuration of the database.

Abstract: A method for identifying human subjects suffering from an inflammatory disorder susceptible to respond to a therapy, in particular to a TREM-1 inhibitor. In particular, an in vitro method for identifying a human subject suffering from an inflammatory disorder, preferably an acute inflammatory disorder such as SIRS, sepsis or septic shock, susceptible to respond to a therapy, in particular to a TREM-1 inhibitor. The method includes the steps of a) measuring the level of soluble triggering receptors expressed on myeloid cells-1 (sTREM-1) in a biological sample from the human subject, comparing the level of sTREM-1 measured at step a) to a predetermined sTREM-1 value, and c) identifying a human subject suffering from an inflammatory disorder with a level of sTREM-1 measured at step a) higher than the predetermined sTREM-1 value of step b) as susceptible to respond to a therapy, in particular to a TREM-1 inhibitor.

Abstract: A method includes obtaining information associated with a database model, where the information includes configuration parameters of a database defined by the database model. The method also includes obtaining information defining data objects associated with an application, where the data objects are to be used by the application to access the database. The method further includes identifying one or more discrepancies between at least one of the data objects and the configuration parameters of the database. In addition, the method includes modifying the at least one data object to conform the application to a current configuration of the database.