Patents by Inventor Sitharthan Kamalakaran

Sitharthan Kamalakaran 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).

  • Patent number: 10998083
    Abstract: Methods and apparatus to identify and quantify the microorganisms present in a sample. Sequence reads are classified using existing methods, but the classification results are corrected to account for the number of reads expected to be falsely classified as determined through simulation. With statistics on the expected number of reads misclassified, a linear least squares method (non-negative or otherwise) or other related technique can be used to adjust the number of reads that are classified to various taxonomic units (e.g., species) and to determine more accurate values for the quantities of those taxonomic units actually present in the sample, eliminating microorganisms in taxonomic units falsely determined to be present in the sample.
    Type: Grant
    Filed: April 8, 2016
    Date of Patent: May 4, 2021
    Assignee: Koninklijke Philips N.V.
    Inventors: Henry Lin, Sitharthan Kamalakaran
  • Patent number: 10902936
    Abstract: The present invention provides for a method to identify a hospital acquired infection. The method includes computing the number of changes over time between an infection sample and at least a subset of the plurality of infection samples and determining if the number of changes over time is within an interval of an expected number of changes. If so, marking the infection sample as a hospital acquired infection.
    Type: Grant
    Filed: July 11, 2016
    Date of Patent: January 26, 2021
    Assignee: Koninklijke Philips N.V.
    Inventors: Henry Lin, Sitharthan Kamalakaran
  • Publication number: 20200395128
    Abstract: The present invention relates to effective diagnosis of patients and assisting clinicians in treatment planning. In particular, invention provides a medical analysis system that enables refinement of molecular classification. The system provides a molecular profiling solution that will allow improved diagnosis, prognosis, response prediction to provide the right chemotherapy, and follow-up to monitor for cancer recurrence.
    Type: Application
    Filed: June 2, 2020
    Publication date: December 17, 2020
    Inventors: Angel Janevski, Nevenka Dimitrova, Sitharthan Kamalakaran, Yasser Alsafadi, Nilanjana Banerjee, Anca Ioana Daniela Bucur, Jasper Johannes Adrianus van Leeuwen, Vinay Varadan
  • Patent number: 10685740
    Abstract: Methods and systems for monitoring and determining antimicrobial resistance and antimicrobial treatment using genomic subtype information. Various embodiments utilize molecular epidemiology and next-generation sequencing technologies (NGS) to monitor multi-drug resistant pathogens and provide early insight into emergent microbial threats.
    Type: Grant
    Filed: March 10, 2016
    Date of Patent: June 16, 2020
    Assignee: Koninklijke Philips N.V.
    Inventors: Sitharthan Kamalakaran, Pramod Mayigowda, Henry Lin, Sonia Chothani
  • Patent number: 10541052
    Abstract: A catalog (34) of molecular marker tests specifies molecular marker tests annotated with clinical applicability annotations. An electronic patient medical record (22) stores genetic sequencing data (20) of a patient. A clinical decision support (CDS) system (30) is configured to track the clinical context of the patient wherein the clinical context includes at least a disease diagnosis and a current patient care stage. A catalog search module (32) is configured to search the catalog of molecular marker tests to identify a molecular marker test having clinical applicability to the patient in the clinical context tracked by the CDS system. The search is automatically triggered by occurrence of a trigger event defined by a set of triggering rules. A testing module (44) is configured to perform a molecular marker test identified by the identification module in silico using the genetic sequencing data of the patient stored in the electronic patient medical record.
    Type: Grant
    Filed: November 29, 2012
    Date of Patent: January 21, 2020
    Assignee: Koninklijke Philip N.V.
    Inventors: Vinay Varadan, Sitharthan Kamalakaran, Angel Janevski, Nilanjana Banerjee, Nevenka Dimitrova
  • Patent number: 10460831
    Abstract: In a predictive outcome assessment test for predicting whether a patient undergoing a breast cancer treatment regimen will achieve pathological complete response (pCR), differential gene expression level information are generated for an input set of genes belonging to the TGF-? signaling pathway. The differential gene expression level information compares baseline gene expression level information from a baseline sample (70) of a breast tumor of a patient acquired before initiating (71) a breast cancer therapy regimen to the patient and response gene expression level information from a response sample (72) of the breast tumor acquired after initiating the breast cancer therapy regimen by administering a first dose of bevacizumab to the patient. A pCR prediction for the patient is computed based on the differential gene expression level information for the input set of genes belonging to the TGF-? signaling pathway. Related predictive outcome assessment test development methods are also disclosed.
    Type: Grant
    Filed: November 22, 2013
    Date of Patent: October 29, 2019
    Assignee: Koninklijke Philips N.V.
    Inventors: Vinay Varadan, Sitharthan Kamalakaran, Angel Janevski, Nilanjana Banerjee, Nevenka Dimitrova, Lyndsay Harris
  • Patent number: 10414054
    Abstract: A force feedback gripping device employs a mechanical gripper (23), an electromagnetic actuator (22) and a force feedback controller (21). The mechanical gripper (23) is operable to be actuated to one of a plurality of gripping poses for gripping an object. The electromagnetic actuator (22) includes a magnetorheological elastomer (“MRE”), wherein the MRE is operable to be transitioned between a plurality of shapes dependent upon a variable strength of a magnetic field applied to the MRE, and wherein each shape of the MRE actuates the mechanical gripper (23) to one of the gripping poses. The force feedback controller (21) is operable to control the variable strength of the magnetic field applied to the MRE based on an estimation of a gripping force of the mechanical gripper (23) and on a sensing of a load force of the object responsive to the gripping force of the mechanical gripper (23).
    Type: Grant
    Filed: March 25, 2014
    Date of Patent: September 17, 2019
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Aleksandra Popovic, Sitharthan Kamalakaran, Douglas Allen Stanton
  • Patent number: 10342454
    Abstract: A medical device and methods for locating the device include a structure having a length dimension and a surface (102). A volume (106) is associated with the surface and extends along a portion of the length dimension. Nanomaterials (108) are incorporated in the volume and configured to be responsive to an excitation signal such that the excitation signal generates a response from the nanomaterials to enable location of the structure within a subject.
    Type: Grant
    Filed: April 16, 2012
    Date of Patent: July 9, 2019
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Sitharthan Kamalakaran, Balasundar Raju
  • Patent number: 10340027
    Abstract: The present invention relates to a method for identifying multi-modal associations between biomedical markers which allows for the determination of network nodes and/or high ranking network members or combinations thereof, indicative of having a diagnostic, prognostic or predictive value for a medical condition, in particular ovarian cancer. The present invention further relates to a biomedical marker or group of biomedical markers associated with a high likelihood of responsiveness of a subject to a cancer therapy, preferably a platinum based cancer therapy, wherein said biomedical marker or group of biomedical markers comprises at least 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 8, 19, 20 or all markers selected from PKMYT1, SKIL, RAB8A, HIRIP3, CTNNB1, NGFR, ZCCHC11, LSP1, CD200, PAX8, CYBRD1, HOXC11, TCEAL1, FZD10, FZD1, BBS4, IRS2, TLX3, TSPAN2, TXN, and CFLAR.
    Type: Grant
    Filed: October 4, 2011
    Date of Patent: July 2, 2019
    Assignee: Koninklijke Philips N.V.
    Inventors: Nilanjana Banerjee, Angel Janevski, Sitharthan Kamalakaran, Vinay Varadan, Nevenka Dimitrova, Robert Lucito
  • Publication number: 20190087535
    Abstract: The present invention provides for a method to identify a hospital acquired infection. The method includes computing the number of changes over time between an infection sample and at least a subset of the plurality of infection samples and determining if the number of changes over time is within an interval of an expected number of changes. If so, marking the infection sample as a hospital acquired infection.
    Type: Application
    Filed: July 11, 2016
    Publication date: March 21, 2019
    Inventors: Henry Lin, Sitharthan Kamalakaran
  • Publication number: 20180293349
    Abstract: Methods and systems for monitoring and determining antimicrobial resistance and antimicrobial treatment using genomic subtype information. Various embodiments utilize molecular epidemiology and next-generation sequencing technologies (NGS) to monitor multi-drug resistant pathogens and provide early insight into emergent microbial threats.
    Type: Application
    Filed: March 10, 2016
    Publication date: October 11, 2018
    Applicant: KONINKLIJKE PHILIPS N.V.
    Inventors: Sitharthan Kamalakaran, Pramod Mayigowda, Henry Lin, Sonia Chothani
  • Publication number: 20180129777
    Abstract: Methods and apparatus to identify and quantify the microorganisms present in a sample. Sequence reads are classified using existing methods, but the classification results are corrected to account for the number of reads expected to be falsely classified as determined through simulation. With statistics on the expected number of reads misclassified, a linear least squares method (non-negative or otherwise) or other related technique can be used to adjust the number of reads that are classified to various taxonomic units (e.g., species) and to determine more accurate values for the quantities of those taxonomic units actually present in the sample, eliminating microorganisms in taxonomic units falsely determined to be present in the sample.
    Type: Application
    Filed: April 8, 2016
    Publication date: May 10, 2018
    Applicant: Koninklijke Philips N.V.
    Inventors: Henry Lin, Sitharthan Kamalakaran
  • Publication number: 20180089392
    Abstract: The present invention relates to effective diagnosis of patients and assisting clinicians in treatment planning. In particular, invention provides a medical analysis system that enables refinement of molecular classification. The system provides a molecular profiling solution that will allow improved diagnosis, prognosis, response prediction to provide the right chemotherapy, and follow-up to monitor for cancer recurrence.
    Type: Application
    Filed: November 29, 2017
    Publication date: March 29, 2018
    Inventors: Angel Janevski, Nevenka Dimitrova, Sitharthan Kamalakaran, Yasser Alsafadi, Nilanjana Banerjee, Anca Ioana Daniela Bacur, Jasper Johannes Adrianus van Leeuwen, Vinay Varadan
  • Publication number: 20180052954
    Abstract: Methods and systems for monitoring and determining antimicrobial resistance and antimicrobial treatment using genomic subtype information. Various embodiments utilize molecular epidemiology and next-generation sequencing technologies (NGS) to monitor multi-drug resistant pathogens and provide early insight into emergent microbial threats.
    Type: Application
    Filed: March 10, 2016
    Publication date: February 22, 2018
    Inventors: Sitharthan Kamalakaran, Pramod Mayigowda, Henry Lin, Sonia Chothani
  • Publication number: 20180004892
    Abstract: Systems, methods, and apparatuses are disclosed for reducing the computational time of assigning a species to an infection isolate. A method for dividing a search index into one or more sub-indices based on a phylogenetic tree of reference sequences is disclosed. A method for dividing reads into test sets and aligning to sub-indices for assigning a species to an infection isolate is disclosed. A system for aligning sequence reads to a database of reference sequences using sub-indices is disclosed.
    Type: Application
    Filed: December 21, 2015
    Publication date: January 4, 2018
    Applicant: KONINKLIJKE PHILIPS N.V.
    Inventor: Sitharthan Kamalakaran
  • Patent number: 9858392
    Abstract: The present invention relates to effective diagnosis of patients and assisting clinicians in treatment planning. In particular, invention provides a medical analysis system that enables refinement of molecular classification. The system provides a molecular profiling solution that will allow improved diagnosis, prognosis, response prediction to provide the right chemotherapy, and follow-up to monitor for cancer recurrence.
    Type: Grant
    Filed: May 6, 2009
    Date of Patent: January 2, 2018
    Assignee: Koninklijke Philips N.V.
    Inventors: Angel J. Janevski, Nevenka Dimitrova, Sitharthan Kamalakaran, Yasser Alsafadi, Nilanjana Banerjee, Anca Ioana Daniela Bacur, Jasper Van Leeuwen, Vinay Varadan
  • Patent number: 9798856
    Abstract: An imaging visualization workstation (30) includes a graphical display device (32) and an electronic data processor, and is configured to perform a method including: spatially registering a biopsy sample extracted from a medical subject with a medical image (12) of the medical subject; combining the medical image with a graphical representation of information (20, 22) generated from the biopsy sample to generate a combined image in which the graphical representation is spatially delineated based on the spatial registration of the biopsy sample; and displaying the combined image on the graphical display device of the imaging visualization workstation. A method comprises extracting a biopsy sample spatial sample from a medical subject, processing the biopsy sample to generate biopsy information, acquiring a medical image of the subject, spatially registering the biopsy sample with the medical image, and displaying the medical image modified to include an annotation generated from the biopsy information.
    Type: Grant
    Filed: March 20, 2013
    Date of Patent: October 24, 2017
    Assignee: Koninklijke Philips N.V.
    Inventors: Nilanjana Banerjee, Sitharthan Kamalakaran, Vinay Varadan, Angel Janevski, Nevenka Dimitrova
  • Publication number: 20170235873
    Abstract: The present disclosure describes systems and methods for determining sources of infection transmission. Phylogenetic methods are used for determining the evolutionary history and replication rates of infection isolates. The evolutionary distance and/or replication rate of an infection isolate maybe compared to other isolates. Based on a comparison of the evolutionary distance and/or replication rate, a determination of the source of infection transmission is made.
    Type: Application
    Filed: August 11, 2015
    Publication date: August 17, 2017
    Applicant: KONINKLIJKE PHILIPS N.V.
    Inventors: Sitharthan Kamalakaran, Joseph N. Paulson
  • Publication number: 20170228497
    Abstract: The present disclosure describes systems and methods for determining and flagging sequences that deviate from one or more reference sequences. Phylogenetic methods are used for determining the evolutionary history and evolutionary distances of sample isolates. The evolutionary distances of sample isolates may be compared to each other and/or reference isolates. Based on a comparison of the evolutionary distances, a determination of deviance is made for a sample sequence. The sample sequence is flagged for further analysis to determine the cause of deviation.
    Type: Application
    Filed: September 8, 2015
    Publication date: August 10, 2017
    Inventors: Sitharthan Kamalakaran, Joseph N. Paulson
  • Patent number: 9552649
    Abstract: Image texture feature values are computed for a set of image texture features from an image of an anatomical feature of interest in a subject, and the subject is classified respective to a molecular feature of interest based on the computed image texture feature values. The image texture feature values may be computed from one or more gray level co-occurrence matrices (GLCMs), and the image texture features may include Haralick and/or Tamura image texture features. To train the classifier, reference image texture feature values are computed for at least the set of image texture features from images of the anatomical feature of interest in reference subjects. The reference image texture feature values are divided into different population groups representing different values of the molecular feature of interest, and the classifier is trained to distinguish between the different population groups based on the reference image texture feature values.
    Type: Grant
    Filed: October 25, 2013
    Date of Patent: January 24, 2017
    Assignee: Koninklijke Philips N.V.
    Inventors: Nilanjana Banerjee, Nevenka Dimitrova, Vinay Varadan, Sitharthan Kamalakaran, Angel Janevski, Sayan Maity