Patents by Inventor Sujatha KOTTE

Sujatha KOTTE has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240403555
    Abstract: Comprehensive and high-quality disease dictionaries are invaluable resources for tasks such as building ontologies, automated relation extraction, text summarization, question answering etc. Such curated resources are useful to clinicians, researchers, and various Biomedical Natural Language Processing tasks. However, these are manually curated and are labor and time intensive, and additionally suffer from lower recall and coverage is also less. Present disclosure provides systems and methods for augmenting rare disease dictionaries, wherein the system retrieves (new) rare diseases terms from medical literature that are related to the given dictionary terms (seed terms) and recommends new terms (or NPs) in a ranked order. This method is useful for rare diseases dictionary augmentation as a significant fraction of the top recommendations are new synonym candidates for dictionary augmentation.
    Type: Application
    Filed: May 9, 2024
    Publication date: December 5, 2024
    Applicant: Tata Consultancy Services Limited
    Inventors: THOMAS JOSEPH, ADITYA RAMAKRISHNA RAO, RAJGOPAL SRINIVASAN, SUJATHA KOTTE, NAVEEN SIVADASAN, SAIPRADEEP GOVINDAKRISHNAN VANGALA
  • Patent number: 11348693
    Abstract: This disclosure relates generally to method and system for graph convolution based gene prioritization on heterogeneous networks. The method includes obtaining a set of entities for human rare diseases from one or more sources containing rare diseases, genes, phenotypes for rare diseases and biological pathways and constructing an initial heterogeneous network using each of an entity from the set of entities. the initial heterogeneous network applying Graph Convolution-based Association Scoring (GCAS) to the initial heterogeneous network to derive inferred associations and creating a Heterogeneous Association Network for Rare Diseases (HANRD) by adding the inferred associations to the initial heterogeneous network and generating a prioritized set of genes for an input query being received in the HANRD.
    Type: Grant
    Filed: April 8, 2019
    Date of Patent: May 31, 2022
    Assignee: Tata Consultancy Services Limited
    Inventors: Thomas Joseph, Aditya Rao, Naveen Sivadasan, Saipradeep Govindakrishnan Vangala, Sujatha Kotte, Rajgopal Srinivasan
  • Publication number: 20210125690
    Abstract: Diagnosis of rare human diseases using DNA sequencing is a fast growing area of research. Conventional methods carries a risk of incorrect phenotype interpretation. However, obtaining a correct genotype and phenotype matching is challenging. A system for matching phenotype descriptions and pathogenic variants provides a one to one mapping of the phenotype and genotypes of a plurality of subjects under test. Initially, a plurality of phenotypes and a plurality of genome sequences are segmented based on metadata. A phenotype driven gene prioritization and a variant prioritization is applied on the segmented data method. A similarity score is calculated between the phenotype driven gene prioritization output and the variant prioritization output. The similarity score is further utilized to obtain a one to one matching of the plurality of phenotypes and the plurality of genotype sequences of the plurality of subjects under test.
    Type: Application
    Filed: September 21, 2020
    Publication date: April 29, 2021
    Applicant: Tata Consultancy Services Limited
    Inventors: Thomas Joseph, Aditya Ramkrishna Rao, Saipradeep Vangala Govindakrishnan, Naveen Sivadasan, Uma Sunderam, Sujatha Kotte, Rajgopal Srinivasan
  • Publication number: 20190311811
    Abstract: This disclosure relates generally to method and system for graph convolution based gene prioritization on heterogeneous networks. The method includes obtaining a set of entities for human rare diseases from one or more sources containing rare diseases, genes, phenotypes for rare diseases and biological pathways and constructing an initial heterogeneous network using each of an entity from the set of entities. the initial heterogeneous network applying Graph Convolution-based Association Scoring (GCAS) to the initial heterogeneous network to derive inferred associations and creating a Heterogeneous Association Network for Rare Diseases (HANRD) by adding the inferred associations to the initial heterogeneous network and generating a prioritized set of genes for an input query being received in the HANRD.
    Type: Application
    Filed: April 8, 2019
    Publication date: October 10, 2019
    Applicant: Tata Consultancy Services Limited
    Inventors: Thomas JOSEPH, Aditya RAO, Naveen SIVADASAN, Saipradeep Govindakrishnan VANGALA, Sujatha KOTTE, Rajgopal Srinivasan