Improving sperm retrieval for men with infertility issues using advanced technology.
Rare sperm screening and retrieval with a domain-adaptive deep learning-enabled microwell system.
This study is testing a new, friendly way to find rare sperm in men who have azoospermia, which means they don’t have sperm in their semen, using advanced technology that could make the process easier and less invasive than current methods.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-11164677 on NIH RePORTER |
What this research studies
This research focuses on developing a new method for identifying and retrieving rare sperm in men diagnosed with azoospermia, a condition where no sperm is present in the semen. By utilizing a domain-adaptive deep learning-enabled microwell system, the project aims to enhance the accuracy and efficiency of sperm detection compared to traditional manual methods. This innovative approach could potentially reduce the need for invasive surgical procedures like microdissection testicular sperm extraction (microTESE) by identifying viable sperm in ejaculate samples. The research combines advanced microfluidics and artificial intelligence to create a more reliable solution for men facing infertility challenges.
Who could benefit from this research
Good fit: Ideal candidates for this research are men diagnosed with azoospermia, particularly those with non-obstructive types.
Not a fit: Patients who do not have azoospermia or those with obstructive azoospermia may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly improve the chances for men with azoospermia to have biological children without the need for invasive surgery.
How similar studies have performed: While there have been advancements in microfluidics and machine learning for sperm retrieval, this specific approach is novel and aims to address existing limitations in current methods.
Where this research is happening
Boston, United States
- Brigham and Women's Hospital — Boston, United States (Active)
Researchers
- Principal investigator: Shafiee, Hadi — Brigham and Women's Hospital
- Study coordinator: Shafiee, Hadi
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.