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Methods for data collection and distribution

  • US 10,559,048 B2
  • Filed: 07/11/2012
  • Issued: 02/11/2020
  • Est. Priority Date: 07/13/2011
  • Status: Active Grant
First Claim
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1. A method comprising:

  • (a) enrolling a subject with multiple myeloma in a longitudinal research study;

    (b) collecting a biological sample at a time-point from the subject with multiple myeloma;

    (c) storing the biological sample at a tissue bank;

    (d) analyzing a portion of the biological sample to produce a profile for the subject with multiple myeloma, wherein the biological sample is a bone marrow sample, a biopsy, a blood sample, a plasma sample, a bone marrow aspiration, a hair sample, a urine sample, a stool sample, a breath sample, a skin sample, a fine-needle aspiration, a tissue biopsy, a spinal fluid sample, a tear sample, a mucus sample, an amniotic fluid sample, a sperm sample, or a tissue sample;

    (e) collecting, through an observational study platform, clinical data from the subject with multiple myeloma at two or more additional time-points, and storing the clinical data in an electronic case report form in the observational study platform, wherein the clinical data comprise interpreted data, wherein;

    (1) raw molecular data are retrieved by a molecular results data export module;

    (2) the molecular results data export module sends the raw molecular data to an analysis pipeline; and

    (3) the analysis pipeline processes the raw molecular data to provide the interpreted data;

    (f) providing electronic access through a community portal to a user over a network to a module configured for user update of information about a health of the subject with multiple myeloma into a health management tracker of an information technology portal through a web based user interface, wherein the user update updates the profile of the subject with multiple myeloma;

    (g) correlating by a computer using computer-executable code the clinical data and the profile via a user profile synchronization module to identify a subset of subjects with multiple myeloma to which the subject with multiple myeloma belongs;

    (h) determining by the computer using computer-executable code a personalized therapy for multiple myeloma based on the subset to which the subject with multiple myeloma belongs, wherein the personalized therapy is more likely to prolong survival when administered to a patient belonging to the subset than when the personalized therapy is administered to a patient that does not belong to the subset and wherein the personalized therapy is immunomodulatory therapy, proteasome inhibitor therapy, stem cell transplantation, chemotherapy, radiation therapy, or surgery; and

    (i) administering the personalized therapy to the subject with multiple myeloma.

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