Abstract: The present disclosure provides a system and method for use in evaluating the trustworthiness of an artificial intelligence (AI) process. The trustworthiness evaluation may include both automated and manual evaluation of the AI process. Further, the system is provided with functionality for automatically evaluating and modifying the criteria used in evaluating the AI process.

Abstract: The present disclosure provides a system and method for use in evaluating the trustworthiness of an artificial intelligence (AI) process. The trustworthiness evaluation may include both automated and manual evaluation of the AI process. Further, the system is provided with functionality for automatically evaluating and modifying the criteria used in evaluating the AI process.

Abstract: The present invention relates to the diagnosis of the distinction between acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML) and prognosis of AML. Disclosed is a means to diagnose the distinction between ALL and AML employing measurement of the abundance of the nucleic acid or protein products of small combinations (two, three or more) of particular human genes. The invention further describes the use of the measurement of the abundance of the nucleic acid or protein product of two human genes for prognostic indication in AML. The invention also relates to therapies targeted at these indicator genes, and the screening of drugs for cancer that target these indicator genes or their protein products.

Abstract: A method and system for detecting coincidences in a data set of objects, where each object has a number of attributes. Iteratively, equally-sized subsets of the data set of sampled, and coincidences (co-occurrences of a plurality of attribute values in one or more objects in the subset) are recorded. For each coincidence of interest, the expected coincidence count is determined and compared with the observed coincidence count; this comparison is used to determine a measure of correlation for the plurality of attributes for the coincidence. The resulting set ofk-tuples of correlated attributes is reported, a k-tuple of correlated attributes being a plurality of attributes for which the measure of correlation is above a predetermined threshold. The method and system (implemented on an array of processing nodes) is suitable for protein structure analysis, e.g. in HIV research.

Abstract: A method and system for detecting coincidences in a data set of objects, where each object has a number of attributes. Iteratively, equally-sized subsets of the data set of sampled, and coincidences (co-occurrences of a plurality of attribute values in one or more objects in the subset) are recorded. For each coincidence of interest, the expected coincidence count is determined and compared with the observed coincidence count; this comparison is used to determine a measure of correlation for the plurality of attributes for the coincidence. The resulting set of k-tuples of correlated attributes is reported, a k-tuple of correlated attributes being a plurality of attributes for which the measure of correlation is above a predetermined threshold. The method and system (implemented on an array of processing nodes) is suitable for protein structure analysis, e.g. in HIV research.

Abstract: The present invention relates to the diagnosis of the distinction between acute lymphoblastic leukemia (ALL) and acute myeloid leukemia (AML) and prognosis of AML. Disclosed is a means to diagnose the distinction between ALL and AML employing measurement of the abundance of the nucleic acid or protein products of small combinations (two, three or more) of particular human genes. The invention further describes the use of the measurement of the abundance of the nucleic acid or protein product of two human genes for prognostic indication in AML. The invention also relates to therapies targeted at these indicator genes, and the screening of drugs for cancer that target these indicator genes or their protein products.