Artificial intelligence would improve IVF’s success rate, research finds

Using artificial intelligence to determine embryos with the best chance of producing successful pregnancies through in-vitro fertilisation (IVF) would increase the procedure’s rate of success, according to a study.

The research, presented today at the 33rd Annual Meeting of the European Society of Reproduction and Embryology (ESHRE) in Geneva, found that using AI to standardise the selection of ‘good quality’ embryos would make viable embryo selection more accurate and so increase the chances of a successful pregnancy.

A popular choice for couples with fertility problems, IVF involves removing eggs from the woman’s ovaries, fertilising them with sperm to produce embryos and then implanting the most viable back into the womb, where they – all being well – will develop as normal into a healthy baby.

As part of this, embryologists determine which embryos are most viable for implantation, however despite this selection process, between 30 and 60% fail to implant successfully. Part of the reason for this is patient age, but there is also the fact that different embryologists will make different calls about whether an embryo is viable.

“The issue is that morphological grading by humans leads to wide inter and intra-operator variation,” said investigator Professor José Celso Rocha, from São Paulo State University, Brazil. In other words, embryologists’ assessment of an embryo’s shape and development results in significantly different conclusions depending on who is doing the assessing. And it is this variation that Rocha believes AI can help with.

“To classify images automatically will increase the predictive value of our embryo assessment,” he said. “By increasing objectivity and repeatability in embryo assessment, we can improve the accuracy of diagnosing embryo viability. Clinics can use this information as ‘artificial intelligence’ to customise treatment strategies and better predict a patient’s chance of pregnancy.”

The study which is the focus of this argument involved bovine embryos, with 482 seven-day-old embryos used to ‘train’ the AI system to recognise viable embryos from non-viable ones. The system assessed the embryos against 36 variables to determine viability, resulting in an accuracy of 76% – an improvement on conventional methods – and increased general consistency.

Now the research has moved onto human embryos, and although it is in the early stages of development, it is hoped that it will produce a highly repeatable system that will make future embryo classification far more consistent.

However, while AI might be poised to take over a part of the IVF process, it is human expertise that it will draw from.

“The artificial intelligence system must be based on learning from a human being,” said Rocha. “That is, the experienced embryologists who set the standards of assessment to train the system.”

Soviet report detailing lunar rover Lunokhod-2 released for first time

Russian space agency Roskosmos has released an unprecedented scientific report into the lunar rover Lunokhod-2 for the first time, revealing previously unknown details about the rover and how it was controlled back on Earth.

The report, written entirely in Russian, was originally penned in 1973 following the Lunokhod-2 mission, which was embarked upon in January of the same year. It had remained accessible to only a handful of experts at the space agency prior to its release today, to mark the 45th anniversary of the mission.

Bearing the names of some 55 engineers and scientists, the report details the systems that were used to both remotely control the lunar rover from a base on Earth, and capture images and data about the Moon’s surface and Lunokhod-2’s place on it. This information, and in particularly the carefully documented issues and solutions that the report carries, went on to be used in many later unmanned missions to other parts of the solar system.

As a result, it provides a unique insight into this era of space exploration and the technical challenges that scientists faced, such as the low-frame television system that functioned as the ‘eyes’ of the Earth-based rover operators.

A NASA depiction of the Lunokhod mission. Above: an image of the rover, courtesy of NASA, overlaid onto a panorama of the Moon taken by Lunokhod-2, courtesy of Ruslan Kasmin.

One detail that main be of particular interest to space enthusiasts and experts is the operation of a unique system called Seismas, which was tested for the first time in the world during the mission.

Designed to determine the precise location of the rover at any given time, the system involved transmitting information over lasers from ground-based telescopes, which was received by a photodetector onboard the lunar rover. When the laser was detected, this triggered the emission of a radio signal back to the Earth, which provided the rover’s coordinates.

Other details, while technical, also give some insight into the culture of the mission, such as the careful work to eliminate issues in the long-range radio communication system. One issue, for example, was worked on with such thoroughness that it resulted in one of the devices using more resources than it was allocated, a problem that was outlined in the report.

The document also provides insight into on-Earth technological capabilities of the time. While it is mostly typed, certain mathematical symbols have had to be written in by hand, and the report also features a number of diagrams and graphs that have been painstakingly hand-drawn.

A hand-drawn graph from the report, showing temperature changes during one of the monitoring sessions during the mission

Lunokhod-2 was the second of two unmanned lunar rovers to be landed on the Moon by the Soviet Union within the Lunokhod programme, having been delivered via a soft landing by the unmanned Luna 21 spacecraft in January 1973.

In operation between January and June of that year, the robot covered a distance of 39km, meaning it still holds the lunar distance record to this day.

One of only four rovers to be deployed on the lunar surface, Lunokhod-2 was the last rover to visit the Moon until December 2013, when Chinese lunar rover Yutu made its maiden visit.

Robot takes first steps towards building artificial lifeforms

A robot equipped with sophisticated AI has successfully simulated the creation of artificial lifeforms, in a key first step towards the eventual goal of creating true artificial life.

The robot, which was developed by scientists at the University of Glasgow, was able to model the creation of artificial lifeforms using unstable oil-in-water droplets. These droplets effectively played the role of living cells, demonstrating the potential of future research to develop living cells based on building blocks that cannot be found in nature.

Significantly, the robot also successfully predicted their properties before they were created, even though this could not be achieved using conventional physical models.

The robot, which was designed by Glasgow University’s Regius Chair of Chemistry, Professor Lee Cronin, is driven by machine learning and the principles of evolution.

It has been developed to autonomously create oil-in-water droplets with a host of different chemical makeups and then use image recognition to assess their behaviour.

Using this information, the robot was able to engineer droplets to have different properties­. Those which were found to be desirable could then be recreated at any time, using a specific digital code.

“This work is exciting as it shows that we are able to use machine learning and a novel robotic platform to understand the system in ways that cannot be done using conventional laboratory methods, including the discovery of ‘swarm’ like group behaviour of the droplets, akin to flocking birds,” said Cronin.

“Achieving lifelike behaviours such as this are important in our mission to make new lifeforms, and these droplets may be considered ‘protocells’ – simplified models of living cells.”

One of the oil droplets created by the robot

The research, which is published today in the journal PNAS, is one of several research projects being undertaken by Cronin and his team within the field of artificial lifeforms.

While the overarching goal is moving towards the creation of lifeforms using new and unprecedented building blocks, the research may also have more immediate potential applications.

The team believes that their work could also have applications in several practical areas, including the development of new methods for drug delivery or even innovative materials with functional properties.