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Researchers develop AI algorithm to accurately detect heart murmurs in dogs

Researchers have developed AI Algorithm to detect heart murmurs in dogs, improving early diagnosis of cardiac disease

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Tutty Dog
Tutty, a Miniature Pinscher, is one of the popular small breeds known for its vibrant personality. Image credit: DD/EdPublica

Researchers at the University of Cambridge have developed a machine learning algorithm capable of accurately detecting heart murmurs in dogs—a critical indicator of cardiac disease, particularly prevalent in smaller breeds like the King Charles Spaniel. This innovative approach has the potential to transform veterinary care, offering an accessible tool for early diagnosis and treatment of heart conditions.

Heart murmurs are a key sign of mitral valve disease, the most common heart issue affecting adult dogs. Statistically, approximately one in every 30 dogs seen by a veterinarian presents with a heart murmur, with higher rates observed in small breeds and older dogs. Given the frequency of such conditions, timely detection is essential. Early intervention can significantly enhance a dog’s quality of life and longevity, making effective screening methods vital for veterinarians.

Dr. Andrew McDonald, the study’s first author from the Department of Engineering at Cambridge, emphasized the importance of early detection, according to a statement issued by the University: “Heart disease in humans is a huge health issue, but in dogs it’s an even bigger problem. Most smaller dog breeds will have heart disease when they get older, but obviously dogs can’t communicate in the same way that humans can, so it’s up to primary care vets to detect heart disease early enough so it can be treated.”

The Algorithm’s Development

The research team began with an algorithm initially designed for human heart sound analysis. Recognizing the similarities between mammalian heart function, they adapted this technology to analyze audio recordings from digital stethoscopes used on dogs. The algorithm demonstrated an impressive sensitivity of 90% in detecting heart murmurs, a level of accuracy comparable to that of expert cardiologists.

Professor Anurag Agarwal, the lead researcher and an expert in acoustics and bioengineering, noted the absence of a dedicated database for canine heart sounds. “As far as we’re aware, there are no existing databases of heart sounds in dogs, which is why we started out with a database of heart sounds in humans,” he explained in a statement issued by the University of Cambridge. “Mammalian hearts are fairly similar, and when things go wrong, they tend to go wrong in similar ways.”

The team refined the algorithm to not only detect but also grade heart murmurs

To build a robust dataset, the researchers collected heart sound data from nearly 800 dogs undergoing routine examinations at four veterinary specialist centers across the UK. Each dog received a thorough physical examination and an echocardiogram performed by a cardiologist, who graded any detected murmurs and identified underlying cardiac issues. This effort resulted in the largest dataset of dog heart sounds ever compiled.

Expanding the Dataset for Better Outcomes

Co-author Professor Jose Novo Matos, a small animal cardiology specialist, highlighted the need for diverse data to improve the algorithm’s effectiveness: “Mitral valve disease mainly affects smaller dogs, but to test and improve our algorithm, we wanted to get data from dogs of all shapes, sizes, and ages. The more data we have to train it, the more useful our algorithm will be, both for vets and for dog owners.”

The team refined the algorithm to not only detect but also grade heart murmurs, distinguishing between mild and advanced disease requiring further intervention. This innovation aims to empower general veterinarians, reducing the need for expensive specialized scans and consultations with cardiologists.

Promising Results and Future Implications

The algorithm’s performance was encouraging: it aligned with cardiologists’ assessments in over half of the cases, and in 90% of instances, it was within one grading unit of the cardiologist’s evaluation. Dr. McDonald pointed out the practical implications of these findings: “The grade of heart murmur is a useful differentiator for determining next steps and treatments, and we’ve automated that process.”

Novo Matos remarked on the transformative potential of this technology, seeing it as a supportive tool rather than a job threat. “So many people talk about AI as a threat to jobs, but for me, I see it as a tool that will make me a better cardiologist,” he said. With the veterinary profession facing time constraints and a shortage of specialists, this algorithm could streamline the process of identifying dogs that need urgent care.

A Path Forward for Veterinary Medicine

The researchers’ ultimate goal is to equip veterinarians with the means to make informed decisions regarding treatment, enhancing the quality of life for their canine patients. “Knowing when to medicate is so important, in order to give dogs the best quality of life possible for as long as possible,” said Agarwal.

Supported by organisations such as the Kennel Club Charitable Trust and the Medical Research Council, this research marks a significant step forward in the use of machine learning for veterinary applications. As technology continues to evolve, it holds the promise of not only advancing animal health but also improving the human-animal bond through better care and understanding.

Earth

Life may have learned to breathe oxygen hundreds of millions of years earlier than thought

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MIT Study Suggests Life Used Oxygen Far Earlier Than Thought
Researchers mapped enzyme sequences from thousands of modern species onto the evolutionary tree of life. The analysis suggests that soon after cyanobacteria began producing oxygen, other organisms evolved enzymes to use it. Credits: Image: MIT News; figure courtesy of the researchers

Early life on Earth has found an interetsing turning point. A new study by researchers at Massachusetts Institute of Technology suggests that some of Earth’s earliest life forms may have evolved the ability to use oxygen hundreds of millions of years before it became a permanent part of the planet’s atmosphere.

Oxygen is essential to most life on Earth today, but it was not always abundant. Scientists have long believed that oxygen only became a stable component of the atmosphere around 2.3 billion years ago, during a turning point known as the Great Oxidation Event (GOE). The new findings indicate that biological use of oxygen may have begun much earlier, potentially reshaping scientists’ understanding of how life evolved on Earth.

The study, published in the journal Palaeogeography, Palaeoclimatology, Palaeoecology, traces the evolutionary origins of a key enzyme that allows organisms to use oxygen for aerobic respiration. This enzyme is present in most oxygen-breathing life forms today, from bacteria to humans.

MIT geobiologists found that the enzyme likely evolved during the Mesoarchean era, between 3.2 and 2.8 billion years ago—several hundred million years before the Great Oxidation Event.

The findings may help answer a long-standing mystery in Earth’s history: why it took so long for oxygen to accumulate in the atmosphere. Scientists know that cyanobacteria, the first organisms capable of producing oxygen through photosynthesis, emerged around 2.9 billion years ago. Yet atmospheric oxygen levels remained low for hundreds of millions of years after their appearance.

While geochemical reactions with rocks were previously thought to be the main reason oxygen failed to build up early on, the MIT study suggests biology itself may also have played a role. Early organisms that evolved the oxygen-using enzyme may have consumed small amounts of oxygen as soon as it was produced, limiting how much could accumulate in the atmosphere.

“This does dramatically change the story of aerobic respiration,” said Fatima Husain, postdoctoral researcher in MIT’s Department of Earth, Atmospheric and Planetary Sciences, said in a media statement. “Our study adds to this very recently emerging story that life may have used oxygen much earlier than previously thought. It shows us how incredibly innovative life is at all periods in Earth’s history.”

The research team analysed thousands of genetic sequences of heme-copper oxygen reductases—enzymes essential for aerobic respiration—across a wide range of modern organisms. By mapping these sequences onto an evolutionary tree and anchoring them with fossil and geological evidence, the researchers were able to estimate when the enzyme first emerged.

“The puzzle pieces are fitting together and really underscore how life was able to diversify and live in this new, oxygenated world

Tracing the enzyme back through time, the team concluded that oxygen use likely appeared soon after cyanobacteria began producing oxygen. Organisms living close to these microbes may have rapidly consumed the oxygen they released, delaying its escape into the atmosphere.

“Considered all together, MIT research has filled in the gaps in our knowledge of how Earth’s oxygenation proceeded,” Husain said. “The puzzle pieces are fitting together and really underscore how life was able to diversify and live in this new, oxygenated world.”

The study adds to a growing body of evidence suggesting that life on Earth adapted to oxygen far earlier than previously believed, offering new insights into how biological innovation shaped the planet’s atmosphere and the evolution of complex life.

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The Sciences

Researchers crack greener way to mine lithium, cobalt and nickel from dead batteries

A breakthrough recycling method developed at Monash University in Australia can recover over 95% of critical metals from spent lithium-ion batteries—without extreme heat or toxic chemicals—offering a major boost to clean energy and circular economy goals.

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Parisa Biniaz (left), PhD student and co-author, with Dr Parama Banerjee (right), principal supervisor and project lead.
Parisa Biniaz (left), PhD student and co-author, with Dr Parama Banerjee (right), principal supervisor and project lead.

Researchers at Monash University, based in Melbourne, Australia, have developed a breakthrough, environmentally friendly method to recover high-purity nickel, cobalt, manganese and lithium from spent lithium-ion batteries, offering a safer alternative to conventional recycling processes.

The new approach uses a mild and sustainable solvent, avoiding the high temperatures and hazardous chemicals typically associated with battery recycling. The innovation comes at a critical time, as an estimated 500,000 tonnes of spent lithium-ion batteries have already accumulated globally. Despite their growing volume, recycling rates remain low, with only around 10 per cent of spent batteries fully recycled in countries such as Australia.

Most discarded batteries end up in landfills, where toxic substances can seep into soil and groundwater, gradually entering the food chain and posing long-term health and environmental risks. This is particularly concerning given that spent lithium-ion batteries are rich secondary resources, containing strategic metals including lithium, cobalt, nickel, manganese, copper, aluminium and graphite.

Existing recovery methods often extract only a limited range of elements and rely on energy-intensive or chemically aggressive processes. The Monash team’s solution addresses these limitations by combining a novel deep eutectic solvent (DES) with an integrated chemical and electrochemical leaching process.

Dr Parama Banerjee, principal supervisor and project lead from the Department of Chemical and Biological Engineering, said the new method achieves more than 95 per cent recovery of nickel, cobalt, manganese and lithium, even from industrial-grade “black mass” that contains mixed battery chemistries and common impurities.

Banerjee 1
Dr Parama Banerjee

“This is the first report of selective recovery of high-purity Ni, Co, Mn, and Li from spent battery waste using a mild solvent,” Dr Banerjee said.

“Our process not only provides a safer, greener alternative for recycling lithium-ion batteries but also opens pathways to recover valuable metals from other electronic wastes and mine tailings.”

Parisa Biniaz, PhD student and co-author of the study, said the breakthrough represents a significant step towards a circular economy for critical metals while reducing the environmental footprint of battery disposal.

“Our integrated process allows high selectivity and recovery even from complex, mixed battery black mass. The research demonstrates a promising approach for industrial-scale recycling, recovering critical metals efficiently while minimising environmental harm,” Biniaz said.

The researchers say the method could play a key role in supporting sustainable energy transitions by securing critical mineral supplies while cutting down on environmental damage from waste batteries.

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Sustainable Energy

Can ammonia power a low-carbon future? New MIT study maps global costs and emissions

Under what conditions can ammonia truly become a low-carbon energy solution? MIT researchers attempt to resolve this

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Ammonia is being studied as a future low-carbon fuel for hard-to-abate sectors such as aviation. Image credit: RonaK Pitamber Choudhary/Pexels

Ammonia, long known as the backbone of global fertiliser production, is increasingly being examined as a potential pillar of the clean energy transition. Energy-dense, carbon-free at the point of use, and already traded globally at scale, ammonia is emerging as a candidate fuel and a carrier of hydrogen. But its climate promise comes with a contradiction: today’s dominant method of producing ammonia carries a heavy carbon footprint.

A new study by researchers from the MIT Energy Initiative (MITEI) attempts to resolve this tension by answering a foundational question for policymakers and industry alike: under what conditions can ammonia truly become a low-carbon energy solution?

A global view of ammonia’s future

In a paper published in Energy and Environmental Science, the researchers present the largest harmonised dataset to date on the economic and environmental impacts of global ammonia supply chains. The analysis spans 63 countries and evaluates multiple production pathways, trade routes, and energy inputs, offering a comprehensive view of how ammonia could be produced, shipped, and used in a decarbonising world.

“This is the most comprehensive work on the global ammonia landscape,” says senior author Guiyan Zang, a research scientist at MITEI. “We developed many of these frameworks at MIT to be able to make better cost-benefit analyses. Hydrogen and ammonia are the only two types of fuel with no carbon at scale. If we want to use fuel to generate power and heat, but not release carbon, hydrogen and ammonia are the only options, and ammonia is easier to transport and lower-cost.”

Why data matters

Until now, assessments of ammonia’s climate potential have been fragmented. Individual studies often focused on single regions, isolated technologies, or only cost or emissions, making global comparisons difficult.

“Before this, there were no harmonized datasets quantifying the impacts of this transition,” says lead author Woojae Shin, a postdoctoral researcher at MITEI. “Everyone is talking about ammonia as a super important hydrogen carrier in the future, and also ammonia can be directly used in power generation or fertilizer and other industrial uses. But we needed this dataset. It’s filling a major knowledge gap.”

To build the database, the team synthesised results from dozens of prior studies and applied common frameworks to calculate full lifecycle emissions and costs. These calculations included feedstock extraction, production, storage, shipping, and import processing, alongside country-specific factors such as electricity prices, natural gas costs, financing conditions, and energy mix.

Comparing production pathways

Today, most ammonia is produced using the Haber–Bosch process powered by fossil fuels, commonly referred to as “grey ammonia.” In 2020, this process accounted for about 1.8 percent of global greenhouse gas emissions. While economically attractive, it is also the most carbon-intensive option.

The study finds that conventional grey ammonia produced via steam methane reforming (SMR) remains the cheapest option in the U.S. context, at around 48 cents per kilogram. However, it also carries the highest emissions, at 2.46 kilograms of CO₂ equivalent per kilogram of ammonia.

Cleaner alternatives offer substantial emissions reductions at higher cost. Pairing SMR with carbon capture and storage cuts emissions by about 61 percent, with a 29 percent cost increase. A full global shift to ammonia produced with conventional methods plus carbon capture could reduce global greenhouse gas emissions by nearly 71 percent, while raising costs by 23.2 percent.

More advanced “blue ammonia” pathways, such as auto-thermal reforming (ATR) with carbon capture, deliver deeper emissions cuts at relatively modest cost increases. One ATR configuration achieved emissions of 0.75 kilograms of CO₂ equivalent per kilogram of ammonia, at roughly 10 percent higher cost than conventional SMR.

At the far end of the spectrum, “green ammonia” produced using renewable electricity can reduce emissions by as much as 99.7 percent, but at a significantly higher cost—around 46 percent more than today’s baseline. Ammonia produced using nuclear electricity showed near-zero emissions in the analysis.

Geography matters

The study also reveals that the viability of low-carbon ammonia depends heavily on geography. Countries with abundant, low-cost natural gas are better positioned to produce blue ammonia competitively, while regions with cheap renewable electricity are more favourable for green ammonia.

China emerged as a potential future supplier of green ammonia to multiple regions, while parts of the Middle East showed strong competitiveness in low-carbon ammonia production. In contrast, ammonia produced using carbon-intensive grid electricity was often both more expensive and more polluting than conventional methods.

From research to policy

Interest in low-carbon ammonia is no longer theoretical. Countries such as Japan and South Korea have incorporated ammonia into national energy strategies, including pilot projects using ammonia for power generation and financial incentives tied to verified emissions reductions.

“Ammonia researchers, producers, as well as government officials require this data to understand the impact of different technologies and global supply corridors,” Shin says.

Zang adds that the dataset is designed not just as an academic exercise, but as a decision-making tool. “We collaborate with companies, and they need to know the full costs and lifecycle emissions associated with different options. Governments can also use this to compare options and set future policies. Any country producing ammonia needs to know which countries they can deliver to economically.”

As global demand for low-carbon fuels accelerates toward mid-century, the study suggests that ammonia’s role will depend less on ambition alone, and more on informed choices—grounded in data—about how and where it is produced.

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