Abstract: There is a need for more effective and efficient predictive data analysis based at least in part on structured data. This need can be addressed by, for example, solutions for performing predictive data analysis using bidirectional encoder deep learning models that are configured to process structured data attributes. In one example, a method includes identifying a group of training structured data fields; generating a group of per-field tokenized values for each training structured data field; generating a bidirectional encoder deep learning model based at least in part on each group of per-field tokenized values for a training structured data field; and performing one or more prediction-based actions based at least in part on the trained bidirectional encoder deep learning model.

Abstract: A method of directing participants during a social networking event includes the step of accessing a participant database that includes a plurality of records, each record including a participant identifier and associated participant attributes. A social networking instance is generated that links participant identifiers based on participant attributes, to define matched participants for meeting during the social networking event Meet up directions are sent to the matched participants.

Abstract: A method of directing participants during a social networking event includes the step of accessing a participant database that includes a plurality of records, each record including a participant identifier and associated participant attributes. A social networking instance is generated that links participant identifiers based on participant attributes, to define matched participants for meeting during the social networking event. Meet up directions are sent to the matched participants.

Abstract: There is a need for more effective and efficient predictive data analysis based at least in part on structured data. This need can be addressed by, for example, solutions for performing predictive data analysis using bidirectional encoder deep learning models that are configured to process structured data attributes. In one example, a method includes identifying a group of training structured data fields; generating a group of per-field tokenized values for each training structured data field; generating a bidirectional encoder deep learning model based at least in part on each group of per-field tokenized values for a training structured data field; and performing one or more prediction-based actions based at least in part on the trained bidirectional encoder deep learning model.

Abstract: A method of directing participants during a social networking event includes the step of accessing a participant database that includes a plurality of records, each record including a participant identifier and associated participant attributes. A social networking instance is generated that links participant identifiers based on participant attributes, to define matched participants for meeting during the social networking event. Meet up directions are sent to the matched participants.

Abstract: The current invention relates to a diagnostic kit for a yeast or fungal species comprising at least one oligonucleotide probe capable of binding to at least a portion of the eIF2y gene or its corresponding mRNA.

Abstract: The invention relates to the SWI5 gene, the corresponding RNA, specific probes, primers and oligonucleotides related thereto and their use in diagnostic assays to detect and/or discriminate between fungal and yeast species.

Abstract: The present invention relates to nucleic acid primers and probes for use in the identification of one or more yeast species. More specifically the invention relates to the Ace2 gene, the corresponding RNA, specific probes, primers and oligonucleotides related thereto and their use in diagnostic assays to detect and/or discriminate between yeast species.

Abstract: The use of the Ayg1 gene or an RNA transcript of the Ayg1 gene or fragments thereof as target regions in a diagnostic assay for the eukaryotic organism Aspergillus fumigatus species is described. The unique sequence of the Ayg1 gene in Aspergillus fumigatus provides the basis of nucleic acid diagnostic test for the identification of the pathogen at a the molecular level.

Abstract: A HWP1 gene sequence or fragment or variants thereof as a target region in a nucleic acid based assay for Candida albicans and an isolated nucleic acid molecule useful as a probe for identifying C. albicans in a sample. A method for the detection of C. albicans in a sample and quantification of HWP1 gene expression in C. albicans is also described.

Abstract: The current invention relates to a diagnostic kit for a yeast or fungal species comprising at least one oligonucleotide probe capable of binding to at least a portion of the eIF2y gene or its corresponding mRNA.

Abstract: The present invention relates to nucleic acid primers and probes to detect one or more fungal and yeast species. More specifically the invention relates to the P2, P2A and P2B gene sequences (also known as 60S acidic ribosomal protein P2, RLA-2-ASPFU, Allergen ASP f8 or Afp2), the corresponding RNA, specific probes, primers and oligonucleotides related thereto and their use in diagnostic assays to detect and/or discriminate fungal and yeast species.

Abstract: The invention relates to the SWI5 gene, the corresponding RNA, specific probes, primers and oligonucleotides related thereto and their use in diagnostic assays to detect and/or discriminate between fungal and yeast species.

Abstract: A HWP1 gene sequence or fragment or variants thereof as a target region in a nucleic acid based assay for Candida albicans and an isolated nucleic acid molecule useful as a probe for identifying C. albicans in a sample. A method for the detection of C. albicans in a sample and quantification of HWP1 gene expression in C. albicans is also described.