Active clinical trials for "Infertility"

intermittent fasting could have a role in infertility

The investigators shall study the effect of Sinopharm vaccination on semen parameters and serum testosterone

Infertility is a major problem nowadays

Salivary diagnostic testing is emerging as a less invasive, inexpensive alternative to serum analyte measurements with proven diagnostic accuracy in clinical settings. This study aims to continue analyzing aspects of the performance of salivary hormone competitive immunoassays for monitoring patient's reproductive hormone profiles in the reproductive cycle. Hormone levels will be monitored during treatment cycles for infertility.

The study is performed to compare the outcomes of two stimulation protocols, the minidose long protocol versus the microdose flare protocol in poor responders undergoing IVF/ICSI.

Study Goals: Finding the prevalence of bacteria of the sperm in an innovative and more accurate methode Understanding the effect of microbes on the process of capacitation The impact of microbes in the sperm on IVF success rate Finding the incidence of vaginal bacteria and their relationship to bacteria of the sperm The impact of vaginal flora on IVF success rate

The investigator suggests that PCOS women with high AMH levels are resistant to ovarian stimulation and may need adjustment of the dose of gonadotrophin.

IVF (in vitro fertilization) cycles fails more often than they succeed. Surprisingly very little effort is invested in defining the reasons for failure and possibly finding ways to improve the success on the next cycle. The investigators believe that the main reasons for failure are related to oocyte quality and indirectly to the follicle response for a particular patient. The investigators have developed a panel of biomarkers to assess the faulty follicular conditions leading to lower oocyte quality. Using these markers would indicate if a given cycle was characterized by over growth, over-luteinization, early or late trigger. Indeed our transcriptomics analysis has identified biomarkers of follicles still in their growth phase at trigger or follicles that have already begun luteinisation compare to follicle that are at the optimal level of differentiation. Measuring these biomarkers would allow making a better diagnostic for a given patient and potentially explaining reasons for failure. The system would also become adjustable to variable COS (control ovarian stimulation) and individual clinical practices. It is important to realize that this is applicable to almost all cycle failure and can be done on a pool of follicular cells when none of the oocytes obtained has led to a pregnancy. This does not resolve uterine problems but often these are caused by hormonal conditions established by the ovary or the ovarian treatment. This technology can be applied in all IVF clinics as no special equipment is required. It would be particularly valuable in clinics where a number of cycles is limited due to funding, or in clinic where a package of 3 cycles is proposed to the patient. The patient interest to have a custom treatment increases at each failing cycle as well as the doctors' interest to succeed. This technology is not clinically validated yet and would require a period of testing where participating clinics will collect the samples for a retrospective analysis (presence of biomarkers of follicular problems vs outcome) then in a prospective analysis where the diagnostic is used in a sub-set of patient to modulate the second/third cycle compared the outcome to patient with no diagnostic. The increase in pregnancy rate or cumulative pregnancy rate should reach a minimum of 10 and 25 % respectively to indicate a significant value.

This observational study aims the potential role of serum progesterone levels on the day of oocyte pick-up on the probability of pregnancy, in patients undergoing antagonist IVF cycles. There has been evidence, that increased serum levels of progesterone on triggering day are associated with a decreased probability of pregnancy after IVF. There is no study that investigate assocation between serum progesterone levels on the day of oocyte pick-up and IVF outcomes. This study will be the first in this case.

To collect data of clinical, biochemical and 3D-ultrasonographic parameters of a population of fertile women aged 18-55 in order to design a new algorithm able to predict ovarian age and to evaluate the reliability of a multimodal diagnostic evaluation of ovarian age in term of both reproductive prognosis and distance to menopause following the guidelines of the Standards for Reporting of Diagnostic Accuracy initiative (STARD)