Abstract: The present invention provides anti-gliadin antibodies and antibody fragments, and polypeptides encoding the antibodies or fragment. Also disclosed are methods and kits for the use of such antibodies, fragments, or polypeptides in detection of gliadin. Further provided are heavy chain and light chain variable sequences and associated sequences of complementarity-determining regions (CDRs).

Abstract: A computer implemented method for generating a text report includes receiving input data including at least one table, using a first generative model to identify one or more variables in the input data and generate a table extract comprising the identified variables in a specified order, and using a second generative model to generate a text report based on the table extract, the text report including each of the extracted variables in the specified order. A system for simulating healthcare journey of one or more patients is also disclosed. The system receives a patient data; creates a simulation model of the patients; executes the simulation model to predict health variables; generates treatment variables; provides the predicted health variables, the treatment variables and clinician inputs to the simulation model for continuous learning of the simulation model.

Abstract: The present invention provides anti-gliadin antibodies and antibody fragments, and polypeptides encoding the antibodies or fragment. Also disclosed are methods and Kits for the use of such antibodies, fragments, or polypeptides in detection of gliadin. Further provided are heavy chain and light chain variable sequences and associated sequences of complementarity-determining regions (CDRs).

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a text summarization neural network.

Abstract: A method includes capturing a signal of a detection substrate exposed to a sample containing a target substance; determining that the detection substrate is in a testable state; and generating an assessment of the presence of the target substance in the sample.

Abstract: A method includes capturing a signal of a detection substrate exposed to a sample containing a target substance; determining that the detection substrate is in a testable state; and generating an assessment of the presence of the target substance in the sample.

Abstract: The present invention provides anti-gliadin antibodies and antibody fragments, and polypeptides encoding the antibodies or fragment. Also disclosed are methods and Kits for the use of such antibodies, fragments, or polypeptides in detection of gliadin. Further provided are heavy chain and light chain variable sequences and associated sequences of complementarity-determining regions (CDRs).

Abstract: A composition can include a complex, where the complex includes a photoluminescent nanostructure and a polymer free from selective binding to an analyte, the polymer adsorbed on the photoluminescent nanostructure, and a selective binding site associated with the complex.

Abstract: The present invention provides anti-gliadin antibodies and antibody fragments, and polypeptides encoding the antibodies or fragment. Also disclosed are methods and Kits for the use of such antibodies, fragments, or polypeptides in detection of gliadin. Further provided are heavy chain and light chain variable sequences and associated sequences of complementarity-determining regions (CDRs).

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a text summarization neural network.

Abstract: The present invention provides anti-gliadin antibodies and antibody fragments, and polypeptides encoding the antibodies or fragment. Also disclosed are methods and Kits for the use of such antibodies, fragments, or polypeptides in detection of gliadin. Further provided are heavy chain and light chain variable sequences and associated sequences of complementarity-determining regions (CDRs).

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a text summarization neural network.

Abstract: A method includes capturing a signal of a detection substrate exposed to a sample containing a target substance; determining that the detection substrate is in a testable state; and generating an assessment of the presence of the target substance in the sample.

Abstract: A method includes capturing a signal of a detection substrate exposed to a sample containing a target substance; determining that the detection substrate is in a testable state; and generating an assessment of the presence of the target substance in the sample.

Abstract: Systems and methods related to optical nanosensors comprising photoluminescent nanostructures are generally described.

Abstract: A method includes capturing a signal of a detection substrate exposed to a sample containing a target substance; determining that the detection substrate is in a testable state; and generating an assessment of the presence of the target substance in the sample.

Abstract: Systems and methods related to optical nanosensors comprising photoluminescent nanostructures are generally described.

Abstract: A composition can include a complex, where the complex includes a photoluminescent nanostructure and a polymer free from selective binding to an analyte, the polymer adsorbed on the photoluminescent nanostructure, and a selective binding site associated with the complex.

Abstract: A composition can include a complex, where the complex includes a photoluminescent nanostructure and a polymer free from selective binding to an analyte, the polymer adsorbed on the photoluminescent nanostructure, and a selective binding site associated with the complex.

Abstract: A method includes capturing a signal of a detection substrate exposed to a sample containing a target substance; determining that the detection substrate is in a testable state; and generating an assessment of the presence of the target substance in the sample.