A UK-based AI company has made a major breakthrough for male fertility diagnosis.

The process of receiving a fertility diagnosis can be slow and challenging, with one in seven couples struggling to conceive.

Determining fertility can be a slow process, with almost one in ten men impacted by infertility.

Now a data science algorithm spearheaded by the team at London-based AI company Bayezian can determine male fertility at a faster and more accurate rate than previously possible.

The ever decreasing rate of male fertility has seen sperm counts drop by more than 50 per cent over the past 40 years.

This prompted the team at Bayezian to approach it from a data science standpoint, with which they have been able to identify sperm fertility with 96 per cent accuracy rate – 2 per cent higher than existing scientific approaches.

Fertility startup lands six-figure investment

Bayezian began the project 18 months ago after being approached by a concerned group to improve the way fertility is diagnosed.

The team used the Modified Human Sperm Morphology Analysis (MHSMA) dataset to build deep learning frameworks that can see a sperm’s morphology.

With differences that the human eye can’t see, the Bayezian team has built an algorithm that can determine how healthy a sperm is, and ultimately whether that sperm is fertile.

The MHSMA dataset includes a collection of human sperm images from over 200 patients with male factor infertility.

Each image is labelled by experts for normal or abnormal sperm acrosome, head, vacuole, and tail.

This dataset can then be used to conduct Sperm Morphology Analysis by conducting deep learning methodologies.

The project was part of Bayezian’s Incubator, which combines academic excellence, industry expertise, and a commitment to advancing science to solve real-world problems.

Ed Dixon, founder and CEO at Bayezian, said: “By approaching real world challenges from a data science perspective, new capabilities can be achieved.

Dr Fertility seeks to raise £1.75m to fund expansion plan

“This project is the perfect example of the tech for good approach that the team is undertaking. We see accurate diagnosis as a critical tool in helping address male fertility.”

Bayezian combines academic excellence and industry expertise to inspire smart people to do amazing things with data.

This includes artificial intelligence and machine learning to drive competitiveness, statistical analyses and cutting-edge research, and model and application design to make lives easier.

Since being founded in 2020, Bayezian has hired numerous early careers data scientists, training them and finding exciting projects that might normally only be open to more experienced professionals.

Bayezian has done this by building a reputation of delivering quality outcomes on time.