Patents by Inventor Sudeshna Adak

Sudeshna Adak 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: 20110217234
    Abstract: Naphthoxazine derivatives which are selective ligands for the dopamine D2 receptor and which carry an 18F radio-label suitable for imaging with PET are described. The compounds of the present invention are thus useful for in vivo diagnostics and in vivo imaging of the dopamine D2 receptor.
    Type: Application
    Filed: November 20, 2009
    Publication date: September 8, 2011
    Inventors: Ravi Hegde, Chandan Atreya, Bo Shan, Sudeshna Adak
  • Publication number: 20080032321
    Abstract: A system for analyzing tissue samples, comprising: a storage device for at least temporarily storing one or more images of one or more cells, wherein at least one of the images is indicative of one or more channels comprising a receptor tyrosine kinase (RTK); and a processing device that determines an extent to which one or more of the RTKs may have translocated from at least one subcellular region to another subcellular region of one or more of the cells; and generates a score based at least in part on the RTK translocation.
    Type: Application
    Filed: March 15, 2007
    Publication date: February 7, 2008
    Applicant: GENERAL ELECTRIC COMPANY
    Inventors: FIONA GINTY, ROBERT JOHN FILKINS, HARVEY ELLIS CLINE, MICHAEL CHRISTOPHER MONTALTO, SUDESHNA ADAK, ALI CAN, MICHAEL JOHN GERDES, MELINDA LARSEN
  • Publication number: 20040242972
    Abstract: Method, system and computer product for prognosis of a medical disorder. In one embodiment, a request to provide prognosis decision support for the patient is received. Medical data relevant to the patient such as longitudinal medical data is extracted. Predictive modeling techniques relevant to the patient from the longitudinal medical data are derived. The predictive modeling techniques are then used to predict a clinical outcome for the patient from the medical data. The predictive modeling techniques are formulated using data mining techniques that are capable of detecting correlations in repeated measurements associated with the longitudinal medical data. The predictive modeling techniques then utilize the correlations for determining the medical prognosis for the patient.
    Type: Application
    Filed: May 28, 2003
    Publication date: December 2, 2004
    Applicant: General Electric Company
    Inventors: Sudeshna Adak, William Phillip Gorman, Kati Illouz