P3-0326 — Final report
1.
Prevention and treatment of cervical cancer in Slovenia

We have found the incidence of cervical cancer in Slovenia to be high, which is likely due to poorly efficient cytology screening, flaws in gynaecologic diagnostic procedures and examinations, and to poor women’s participation in cervical cancer screening. We have found that methylene blue injected prior to surgery for cervical cancer permits the detection of sentinel lymph node. The method is particularly beneficial in younger women with smaller tumours.

COBISS.SI-ID: 18764761
2.
Improvement of the method for freezing and thawing of blastocytes

We have developed a modified method of freezing and thawing of supernumerary blastocysts in in vitro fertilization procedures and proved its efficacy in clinical practice.

COBISS.SI-ID: 16397017
3.
Folicular fluid as a predictor of embryo quality and success of IVF procedure

We have found that in women with polycystic ovarian syndrome (PCOS) the fertilization competence of oocytes and embryo quality do not depend on intrafollicular sterol levels. In these women GnRH antagonists have been shown to decrease the follicular estradiol and VEGF levels, and the number of MII oocytes.

COBISS.SI-ID: 20979673
4.
Genome mutations of Y chromosome and male infertility

We have found that duplications of the DAZ genes in the AZFb subregion are not associated with male infertility. We developed a diagnostic test for detection of Y chromosome microdeletions and implemented it in the clinical practice.

COBISS.SI-ID: 20748505
5.
Development of bioinformatic tool BITOLA for candidate gene discovery using literature based discovery approach

We have developed the bioinformational system BITOLA with the aim to search for new potential findings using the analysis of the bibliographic database MEDLINE. The system has been specifically adjusted to the search of candidate genes for human diseases. BITOLA has been additionally linked to two systems for processing of the natural language BioMedLEE and SemRep, which represents one of the first programme tools for the detection of semantic relations in the literature.

COBISS.SI-ID: 18997721