Improving embryo selection in fertility treatments using advanced technology
Enhancing Assisted Reproductive Technologies with Deep Learning and Data Visualization
This study is working on a new tool to help doctors choose the best embryos for transfer during fertility treatments, making it easier for couples trying to get pregnant while reducing the chances of having twins or more.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Harvard University NIH-funded |
| Lab location | 1 site (Cambridge, United States) |
| Project ID | NIH-11056730 on NIH RePORTER |
What this research studies
This research focuses on enhancing Assisted Reproductive Technology (ART) by developing a clinical decision support system that utilizes deep learning and data visualization. The goal is to improve the selection of embryos for transfer, which is crucial for increasing the chances of successful pregnancies while minimizing the risks associated with multiple births. By analyzing images of embryos alongside patients' electronic health records, the project aims to create models that can accurately score embryo viability. This innovative approach seeks to provide a more personalized and effective treatment for couples facing infertility.
Who could benefit from this research
Good fit: Ideal candidates for this research are couples undergoing ART who are struggling with infertility and seeking to improve their chances of a successful pregnancy.
Not a fit: Patients who are not undergoing ART or those who have conditions that preclude them from using assisted reproductive technologies may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly increase the success rates of ART by enabling more precise embryo selection, leading to healthier pregnancies and reducing the incidence of multiple births.
How similar studies have performed: Other research has shown promise in using machine learning and data analysis for improving embryo selection, indicating that this approach has potential for success.
Where this research is happening
Cambridge, United States
- Harvard University — Cambridge, United States (Active)
Researchers
- Principal investigator: Pfister, Hanspeter — Harvard University
- Study coordinator: Pfister, Hanspeter
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.