Pregnancy
Researchers achieve first pregnancy using AI to recover sperm in infertile men

Researchers have reported the first successful pregnancy using an AI-guided sperm recovery method in infertile men with azoospermia, a condition where ejaculate contains little or no sperm.
The case involved a man who had spent nearly 20 years trying to start a family, undergoing multiple IVF cycles, manual sperm searches and two surgical procedures.
Male factors account for around 40 per cent of infertility in couples, and 10–15 per cent of infertile men have azoospermia.
Researchers at Columbia University Fertility Center developed the technique, detailed in a research letter published online on 31 October 2025.
Zev Williams is senior author and director of the Columbia University Fertility Center.
Williams said: “A semen sample can appear totally normal, but when you look under the microscope you discover just a sea of cellular debris, with no sperm visible.”
Many couples with male-factor infertility are told they have little chance of having a biological child.
Men with azoospermia may undergo a procedure to have sperm surgically extracted from the testes, but the procedure is often unsuccessful and can cause vascular problems, inflammation or a temporary drop in testosterone.
Currently, a few specialist labs manually inspect semen samples — a slow and expensive process — often after centrifugation or other treatments that can damage sperm.
“The field has really been challenged to find a better way to identify and retrieve viable sperm cells in men with exceedingly low sperm counts,” Williams said.
The new approach, called STAR (Sperm Tracking and Recovery), combines imaging, microfluidics and AI to identify and recover rare sperm cells from men with azoospermia.
The method uses high-powered imaging to scan semen samples, taking more than eight million images in under an hour.
AI then pinpoints sperm cells, and a microfluidic chip – a device with tiny, hair-like channels – isolates the portion containing sperm.
Within milliseconds, a robot gently removes the sperm so it can be used to create an embryo or frozen for later use.
Hemant Suryawanshi is assistant professor of reproductive sciences at Columbia University Vagelos College of Physicians and Surgeons and project leader.
Suryawanshi said: “Our team included experts in advanced imaging techniques, microfluidics, and reproductive endocrinology to tackle each step required to find and isolate rare sperm.”
STAR was tested in a patient who provided a 3.5 mL semen sample.
Within about two hours, it scanned 2.5 million images and identified two viable sperm cells, which were used to create two embryos and start a pregnancy.
“You only need one healthy sperm to create an embryo,” Williams said.
Although based on a single case, the findings demonstrate the feasibility of using this technology to help men with azoospermia overcome long-standing barriers to biological parenthood.
Larger clinical studies are now under way to assess STAR’s efficacy in broader patient populations.
The research team first unveiled the STAR method earlier this year, combining advanced imaging and microfluidic technologies to detect and extract rare sperm cells.
Once identified, the system can remove sperm within milliseconds for immediate use or freezing.
Pregnancy
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Pregnancy
Wales becomes first UK nation to unite maternity care under a single digital record

System C has completed the national rollout of BadgerNet Maternity across all seven NHS Health Boards in Wales. This is the first time any UK nation has unified its maternity care under a single digital record and patient-facing app.
With approximately 26,000 babies born annually in Wales, BadgerNet connects maternity information across organisational boundaries in the country.
Expectant parents can access their records, maternity appointments and key updates digitally through a single app, wherever they receive care while clinicians have secure access to the right information at the point of care.
The national three-year agreement across all Heath Boards replaces a patchwork of separate local systems and eliminates the need for paper hand-held notes.
Anthony Tracey is director of digital at Hywel Dda University Health Board, the final of the Welsh Health Boards to go live with BadgerNet.
He said: “The rollout of BadgerNet across Wales is a vitally important step forward in modernising our maternity services and providing a consistent service across the country.
“By giving expectant parents direct access to their information and enabling clinicians to share data more effectively, we are strengthening safety, transparency and consistency in maternity care nationwide.”
For expectant parents, the single digital maternity record transforms how they engage with their care.
Instead of carrying paper notes and repeating information at every appointment, parents can access key details, appointments and updates digitally, supporting more informed conversations and shared decision-making.
The result is greater transparency, fewer administrative frustrations and a more joined-up experience throughout pregnancy and into the postnatal period, regardless of which health board they fall under.
For clinicians and Health Boards, the joined-up approach reduces duplication and streamlines handovers across teams and sites. Information is digitally captured once and made available securely wherever it is needed, helping to minimise errors, reduce time spent tracking down notes and support more efficient multidisciplinary working.
At a national level, linking maternity data across Wales creates a foundation for safer, more consistent care.
Aggregated, standardised information enables earlier identification of trends and variation, supports evidence-based policy decisions and enhances long-term service planning.
With a comprehensive view of maternity activity and outcomes across the country, Wales is now better positioned to raise standards for parents, babies and families.
Guy Lucchi, managing director of healthcare at System C, added: “Delivering a truly national approach across all seven Health Boards is a significant achievement for Wales.
“One shared system means information flows with the patient, not the organisation.
“That reduces duplication, supports earlier identification of risk and frees up valuable clinical time.
“Crucially, linking maternity data at a national level provides powerful insight to drive improvement. Health Boards can benchmark, plan services with greater confidence and ensure resources are targeted where they are needed most, while expectant parents benefit from clearer communication and a more connected experience of care.”
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