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Connection

Michael Bradaric to Humans

This is a "connection" page, showing publications Michael Bradaric has written about Humans.
Connection Strength

0.071
  1. Immune cells in the normal ovary and spontaneous ovarian tumors in the laying hen (Gallus domesticus) model of human ovarian cancer. PLoS One. 2013; 8(9):e74147.
    View in: PubMed
    Score: 0.024
  2. Novel primary amine diazeniumdiolates-Chemical and biological characterization. Drug Dev Res. 2018 May; 79(3):136-143.
    View in: PubMed
    Score: 0.008
  3. Metformin inhibits ovarian cancer growth and increases sensitivity to paclitaxel in mouse models. Am J Obstet Gynecol. 2015 Apr; 212(4):479.e1-479.e10.
    View in: PubMed
    Score: 0.006
  4. Statin therapy is associated with improved survival in patients with non-serous-papillary epithelial ovarian cancer: a retrospective cohort analysis. PLoS One. 2014; 9(8):e104521.
    View in: PubMed
    Score: 0.006
  5. Contrast-enhanced sonography depicts spontaneous ovarian cancer at early stages in a preclinical animal model. J Ultrasound Med. 2011 Mar; 30(3):333-45.
    View in: PubMed
    Score: 0.005
  6. Detection of tumor-associated neoangiogenesis by Doppler ultrasonography during early-stage ovarian cancer in laying hens: a preclinical model of human spontaneous ovarian cancer. J Ultrasound Med. 2010 Feb; 29(2):173-82.
    View in: PubMed
    Score: 0.005
  7. Prevalence of antitumor antibodies in laying hen model of human ovarian cancer. Int J Gynecol Cancer. 2009 May; 19(4):500-7.
    View in: PubMed
    Score: 0.004
  8. Histopathology of ovarian tumors in laying hens: a preclinical model of human ovarian cancer. Int J Gynecol Cancer. 2009 May; 19(4):531-9.
    View in: PubMed
    Score: 0.004
  9. Detection of ovarian tumors in chicken by sonography: a step toward early diagnosis in humans? J Ultrasound Med. 2007 Jul; 26(7):909-19.
    View in: PubMed
    Score: 0.004
  10. Anti-tumor and anti-ovarian autoantibodies in women with ovarian cancer. Am J Reprod Immunol. 2007 Apr; 57(4):243-9.
    View in: PubMed
    Score: 0.004
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.