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New AI Tool Could Accelerate Heart Disease Treatments, Study Finds

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Scientists at Imperial College London have developed an artificial intelligence tool that could speed up the discovery of treatments for heart disease and eventually support more personalised care. The technology, known as CardioKG, combines detailed heart scans with large medical databases to identify genes linked to cardiovascular conditions and predict which drugs may be most effective.

Cardiovascular diseases remain the leading cause of death and disability in the European Union, causing around 1.7 million deaths each year and affecting an estimated 62 million people, according to the Organisation for Economic Co-operation and Development (OECD). Researchers hope the AI tool can help address this significant health burden by accelerating drug discovery and improving treatment outcomes.

CardioKG was built using heart imaging data from thousands of participants in the UK Biobank, including patients with atrial fibrillation, heart failure, and heart attacks, as well as healthy volunteers. By integrating genetic information, disease data, and drug profiles into a single knowledge graph, the researchers say the system can make more precise predictions about which medications could benefit patients with specific heart conditions.

“One of the advantages of knowledge graphs is that they integrate information about genes, drugs, and diseases,” said Declan O’Regan, group leader of the Computational Cardiac Imaging Group at Imperial College London. He added that including heart imaging in the model significantly improved the identification of new genes and potential drug therapies.

The study highlighted several drugs for potential repurposing. Methotrexate, commonly used to treat rheumatoid arthritis, was suggested as a possible therapy for heart failure, while gliptins, a class of diabetes medications, could benefit patients with atrial fibrillation. The analysis also indicated a potential protective effect of caffeine for some atrial fibrillation patients, although researchers stressed this does not justify changing caffeine consumption without medical advice.

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The team aims to expand CardioKG into a dynamic, patient-focused framework that can capture disease progression over time. Khaled Rjoob, the study’s first author, said the approach could enable more personalised treatment strategies and help predict when diseases are likely to develop. “This will open new possibilities for personalised treatment and predicting disease trajectories,” he said.

Researchers also believe the underlying technology could be applied beyond heart disease, including for conditions such as brain disorders and obesity, offering a broader tool for accelerating medical research and drug development.

By combining AI, medical imaging, and genetic data, CardioKG represents a promising step toward more targeted therapies and improved outcomes for patients with cardiovascular disease, potentially transforming how clinicians understand and treat heart conditions in the future.

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New Study Reveals How Coffee May Help Protect the Body From Ageing

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A new study has uncovered a key biological mechanism that may explain why coffee has long been linked to healthier ageing and a lower risk of chronic disease.

Researchers at Texas A&M College of Veterinary Medicine & Biomedical Sciences found that compounds in coffee interact with a protein in the body known as NR4A1, a receptor involved in regulating stress responses, inflammation and cellular repair. The findings shed new light on how coffee may help protect the body from age-related decline.

For years, studies have associated regular coffee consumption with a longer life and reduced risk of conditions such as heart disease, cancer and cognitive decline. Until now, however, the biological processes behind those benefits have remained largely unclear.

The research team identified NR4A1 as a critical target for several naturally occurring compounds in coffee, particularly polyphenols and other polyhydroxylated substances. These compounds bind to the receptor and appear to influence how it functions.

NR4A1 acts as what scientists call a nutrient sensor, responding to dietary compounds and helping the body adapt to stress and damage. It plays an important role in controlling inflammation, maintaining energy balance and promoting tissue repair — all essential processes in healthy ageing.

Stephen Safe, one of the study’s lead researchers, said the findings provide a clearer understanding of coffee’s protective effects. He explained that NR4A1 helps limit damage when tissues are under stress, and that its absence can worsen the effects of injury or disease.

Laboratory tests showed that coffee compounds reduced cellular damage and slowed the growth of cancer cells. When researchers removed NR4A1 from the cells, those benefits disappeared, strongly suggesting that the receptor is central to coffee’s protective action.

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The study also highlights that coffee’s health effects are likely driven by more than caffeine alone. Decaffeinated coffee has also been linked to improvements in learning and memory, indicating that other components, including polyphenols, may play a significant role.

Recent research has suggested that moderate consumption of caffeinated coffee may also reduce anxiety, improve attention and vigilance, and lower levels of inflammation.

Scientists caution that while the findings are promising, more research is needed to determine how significant the NR4A1 pathway is in humans and how it interacts with other biological systems.

Still, the discovery offers an important step toward understanding why coffee remains one of the most widely studied beverages in nutrition science. It also reinforces the idea that compounds found in everyday foods and drinks can play a meaningful role in supporting long-term health and resilience as people age.

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Study Finds Rise in 11 Cancers Among Younger Adults in England

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A major study has found that rates of 11 types of cancer are increasing among younger adults in England, raising fresh concerns among researchers about factors driving the trend.

The study, conducted by the Institute of Cancer Research and Imperial College London, examined cancer diagnoses between 2001 and 2019 in adults aged 20 to 49. It identified rising incidence in a range of cancers, including breast, colorectal, pancreatic and kidney cancers.

The full list includes breast, colorectal, pancreatic, kidney, liver, gallbladder, thyroid, ovarian and endometrial cancers, as well as oral cancer and multiple myeloma, a form of blood cancer.

Researchers noted that for most of these cancers, rates have also increased among older adults, where cancer remains far more common. This suggests that some shared risk factors may be affecting multiple age groups.

Two cancers, however, stood out. Rates of colorectal and ovarian cancer rose only among younger adults, pointing to possible age-specific causes that are not yet fully understood.

Scientists examined a range of established cancer risk factors, including smoking, alcohol consumption, diet, physical activity and body weight. While these factors are known to contribute significantly to cancer risk, they do not appear to fully explain the recent rise in cases among younger people.

In fact, many of these traditional risk factors have either remained stable or improved over recent decades. Smoking rates have declined, alcohol consumption has generally fallen or levelled off, physical inactivity has decreased, and intake of red and processed meat has dropped.

Obesity was the notable exception. Rates of obesity have risen steadily across all adult age groups and remain a significant contributor to cancer risk. Even so, researchers found that obesity alone could not account for the broader increase in cancer diagnoses among younger adults.

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This was particularly true for cancers commonly associated with excess body weight, such as bowel, kidney, pancreatic, liver, gallbladder and endometrial cancers. While rising obesity may be playing a role, it does not fully explain the trend.

The findings suggest that other factors may be contributing. Researchers say further investigation is urgently needed into possible causes, including environmental exposures, changes in diet or lifestyle during childhood, and other early-life influences.

They also pointed to the possibility that improved diagnostic tools, increased screening and greater public awareness may be leading to more cases being detected.

Public health experts say the study highlights the need for continued prevention efforts, particularly in tackling smoking and obesity, which remain more common in disadvantaged communities. As researchers work to better understand the causes, the rise in cancer among younger adults is likely to remain an important area of focus for health authorities.

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AI Tool Uses Facial Ageing to Help Predict Cancer Survival

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Researchers in the United States have developed an artificial intelligence system that uses changes in facial appearance over time to help predict how cancer patients may respond to treatment and their chances of survival.

The tool, known as FaceAge, was created by scientists at Mass General Brigham. It estimates a person’s biological age from a photograph, offering a measure of how old the body appears physiologically rather than simply counting years since birth.

Biological age can differ from chronological age, as factors such as illness, stress and lifestyle often accelerate the ageing process. Researchers say facial features may provide important clues about a person’s overall health.

Earlier studies using FaceAge found that cancer patients typically appeared about five years older biologically than their actual age. Those with older-looking facial profiles were also more likely to experience poorer outcomes following treatment.

In the latest research, scientists introduced a new metric called Face Aging Rate, or FAR, which tracks changes in biological age over time by comparing multiple photographs. The method is designed to monitor how quickly a person appears to age, potentially offering a real-time indicator of health.

The study analysed images of 2,276 cancer patients treated at Brigham and Women’s Hospital between 2012 and 2023. All participants had undergone at least two courses of radiation therapy, with photographs taken routinely during their treatment.

Researchers found that, on average, patients’ facial ageing progressed about 40% faster than their actual chronological ageing. Those with higher FAR scores had significantly lower survival rates, particularly when the photographs were taken more than two years apart.

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The findings suggest that changes in facial appearance over time may provide valuable insight into a patient’s condition and long-term prognosis.

The study also examined FaceAge Deviation, a separate measure comparing biological age from a single photograph with a person’s actual age. While higher scores were also linked to poorer outcomes, FAR proved to be a stronger and more reliable predictor of survival over extended periods.

Researchers believe combining both measures could offer a more complete picture of a patient’s health and disease progression.

Dr Raymond Mak, a radiation oncologist at Mass General Brigham Cancer Institute, said the technology could help doctors refine treatment plans, improve patient counselling and determine the most appropriate follow-up care.

The team also sees broader potential beyond oncology. Future research will explore whether the technology could help assess other chronic illnesses or even provide early health insights for otherwise healthy individuals.

To support ongoing studies, researchers have launched a public web portal where users can upload a photograph, receive a FaceAge estimate and contribute data to further development of the tool.

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