ClinicalTrials.gov
public full text
Public Domain
Evaluation of SiD's System for Improving Assisted Reproduction Treatments
According to the WHO, infertility affects 15% of reproductive age couples worldwide. Among the assisted reproductive technologies available for patients with infertility, intracytoplasmic sperm injection (ICSI) has become one of the most widely employed and is now thought to be the most common method for oocyte insemination outside of the human body. ICSI entails the selection of an individual sperm cell and its injection directly into an oocyte. Usually, an embryologist performs the selection of the individual sperm cell to inject by subjectively observing the morphology and progression of the candidate spermatozoon. Subjectivity and time constrains, however, suggest the best possible candidate might not always be selected. Further optimization of ICSI technology remains a significant goal, yet the majority of approaches proposed in the literature have returned mixed results. The deployment of an artificial intelligence (AI) software capable of detecting and non-invasively predicting the value of individual spermatozoa in real time could significantly improve ICSI. SiD (IVF 2.0 Ltd, London, UK) is a software designed to identify, evaluate, and assist in the spermatozoon selection process ahead of ICSI. SID uses a mathematical model to evaluate individual spermatozoa in real-time according to their motility patterns (for instance velocity, linearity, straightness) and their morphology. The software has been developed by making use of retrospective data analysis, but its prospective evaluation is still pending. With the above in mind, this study intends to address the following question: can the use of a software assistant for the selection of individual sperm cells for injection (SiD), improve ICSI outcomes (oocyte fertilization, embryo development and quality, embryo ploidy, pregnancy, and live birth)? Patients with a clinical indication for undergoing ICSI will be prospectively enrolled into the study. Following ovarian stimulation, the oocytes retrieved from e
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Testicular Tissue Cryopreservation for Fertility Preservation in Male Patients Facing Infertility-causing Diseases or Treatment Regimens#1182514
- Correlation Among Sperm DNA Fragmentation, Genitourinary Infection by Mycoplasma in Male and the Pregnancy Outcomes After IUI in Their Partner#1095923
- Automated Sperm Sample Preparation Protocol#1153475
- Artificial Gametes and Human Reproduction in the 21st Century: An Ethical Analysis#100346
- Semen Analysis Parameters Following Pfizer's COVID-19 Vaccine#1293225
Record · ID 1185053
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive