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Tundra lists 7 IVF Outcomes clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.
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NCT07311928
HELIOS: Human Embryo Illumination to Enhance Development
Embryos need a lot of energy to grow, but as women get older, the "power plants" of the cells (called mitochondria) don't work as well. This makes it harder for embryos to develop normally. One possible way to help is with a gentle light treatment called photobiomodulation (PBM). This uses a special type of red light that boosts energy production in cells and helps them stay healthy. This study will test whether adding this light treatment during in vitro fertilization (IVF) can improve embryo growth and pregnancy chances.
Gender: FEMALE
Ages: 18 Years - 48 Years
Updated: 2026-03-25
1 state
NCT07425080
HELIOS Advanced: Human Oocyte Illumination to Enhance Development
Oocytes need a lot of energy to complete meiosis and fertilize successfully. As women get older, the "power plants" of the cells (called mitochondria) don't work as well. This makes it harder for eggs and embryos to develop normally. One possible way to help is with a gentle light treatment called photobiomodulation (PBM). This uses a special type of red light that boosts energy production in cells and helps them stay healthy. This study will test whether adding this light treatment during in vitro fertilization (IVF) can improve embryo growth and pregnancy outcomes.
Gender: FEMALE
Ages: 18 Years - 48 Years
Updated: 2026-03-25
1 state
NCT07456397
Development of an AI Platform for the Analysis of Sperm and Prediction of Their Clinical Potential
Prospective, multicenter research study with a split-sample design on semen samples, without intervention, to develop an artificial intelligence platform for the analysis of sperm samples and prediction of their clinical potential, in 500 semen samples, in an in vitro study over 24 months.
Gender: All
Ages: 18 Years - 60 Years
Updated: 2026-03-06
1 state
NCT07110285
Ovarian Stimulation Outcomes During a GnRH Antagonist Protocol for In-vitro Fertilization When Comparing Trigger Day Decision by Physicians Versus an Artificial Intelligence-based Algorithm.
To compare the number of mature oocytes following a GnRH antagonist in-vitro fertilization stimulation cycle when comparing trigger day timing decision by physicians versus an artificial intelligence-based algorithm
Gender: All
Ages: 18 Years - 45 Years
Updated: 2026-01-12
NCT06794047
The Effect of VitC on IVF Outcome of DOR Patients
In the context of the accelerating aging population and the continuous decline in birth rates nationwide, delaying reproductive aging in women and protecting the fertility of women of childbearing age have become urgent issues and key demands that need to be addressed in the field of maternal and child health in China. The ovaries have reproductive and hormone secretion functions and are crucial throughout the female reproductive lifecycle. Women of childbearing age in China face a serious problem of diminished ovarian reserve (DOR), which can lead to infertility, failed in vitro fertilization (IVF) treatments, miscarriage, and other adverse pregnancy outcomes, severely affecting the safety of women and their offspring. For DOR patients who desire to conceive, failure to intervene and treat promptly can result in irreversible losses and impose a significant psychological burden on them. However, there are currently no clear and reliable interventions that can improve ovarian function and enhance fertility in women with DOR. Therefore, exploring new, safe, and patient-acceptable intervention strategies is urgently needed, as it may bring hope and light to women with DOR. Nutrient supplementation, especially vitamin supplementation, has received increasing attention in disease treatment due to its safety, bioavailability, and effectiveness. Previous studies have shown that vitamin C may play an important role in treating diminished ovarian reserve. However, its effects on ovarian function need to be validated in the population. Based on the above research background, this project will conduct a randomized, placebo-controlled, double-blind, multicenter trial. The study subjects will be DOR infertility patients undergoing IVF/ICSI treatment. The intervention group will receive oral vitamin C supplementation at a dosage of 500 mg per dose, twice a day; the control group will receive a placebo with the same dosage and method for at least three months. Patients will be followed up until delivery outcomes, comparing the IVF/ICSI treatment results between the vitamin C supplementation group and the placebo group. The primary endpoint of this clinical trial is the live birth rate of the IVF/ICSI treatment cycle. Secondary endpoints include indicators of improved ovarian reserve function, ovarian aging molecular clocks, IVF-embryo culture indicators, pregnancy rates, pregnancy complications, and neonatal conditions, thereby providing new clues and theoretical basis for clinical treatment plans for DOR patients.
Gender: FEMALE
Ages: 20 Years - 45 Years
Updated: 2025-06-17
5 states
NCT07003373
Comparison of Two Protocols in Frozen Embryo Transfer
This randomized clinical trial evaluates two different endometrial preparation protocols-hormone replacement therapy (HRT) and natural cycle-for frozen embryo transfer (FET) in infertile women undergoing assisted reproductive technology (ART). The goal is to compare implantation, clinical pregnancy, and ongoing pregnancy outcomes.
Gender: FEMALE
Ages: 18 Years - 42 Years
Updated: 2025-06-04
NCT06951061
Reproductive Outcomes After Intracytoplasmic Sperm Injection (ICSI) With Surgically Retrieved Sperm.
This research project explores how the source of sperm affects outcomes in assisted reproductive technologies (ART), focusing on children conceived through intracytoplasmic sperm injection (ICSI) with surgically retrieved sperm (SRS). Outcomes will be compared to those from ICSI with ejaculated sperm and conventional IVF. Using national registry data from all IVF and ICSI treatments in Sweden between 2007 and 2023 (Q-IVF), the study applies artificial intelligence (AI) and machine learning (ML) to identify factors influencing success rates. The aim is to improve prediction models and support more personalized fertility treatments. Special emphasis is placed on understanding the potential risks and long-term health outcomes for children conceived using SRS, which may be associated with higher rates of genetic abnormalities. The results may help optimize care strategies for infertile couples.
Gender: All
Ages: 18 Years - 45 Years
Updated: 2025-04-30