Health

A team of researchers in South Korea has developed a novel artificial intelligence (AI)-based algorithm that uses electrocardiograph (ECG)2 data to predict the risk of cardiovascular events, and heart-related death.  To create the algorithm, the team from Inha University Hospital analysed standard 12-lead electrocardiograph (ECG)2 data taken from almost half a million cases. The novel algorithm can identify people most at risk of cardiovascular events and mortality by predicting the biological age of the heart, which is based on how the heart functions. For example, a person who is 50 but has poor heart health could have a biological heart age of 60, while someone aged 50 with optimal heart health could have a biological heart age of 40. “Our research showed that when the biological ag...

Love to scroll your phone while in bed? Scientists have found that using a screen in bed can drive your risk of insomnia by 59 per cent. While sleep is critical to mental and physical health, an increasing number of people are accustomed to using screens in bed. The study by researchers from the Norwegian Institute of Public Health in Norway showed it may be associated with poor sleep. While social media is seen to be more associated with poorer sleep because of its interactive nature and potential for emotional stimulation, a survey of 45,202 young adults, aged between 18-28 years old, in Norway showed that the type of screen activity did not matter. "We found no significant differences between social media and other screen activities, suggesting that screen use itself is the key facto...

A new study in the US aims to determine the best method to screen and evaluate patients who are at risk of developing coronary heart disease and which patients would benefit from taking a statin medication to lower cholesterol.  A new approach by researchers at Intermountain Health in Salt Lake City to determining risk and selecting a statin is the use of the coronary artery calcium (CAC) score which is determined by taking a low-radiation dose image of the heart using computed tomography (CT) to look for calcium deposits in plaques in the heart’s coronary arteries. “Our study is now fully enrolled with over 5,600 patients, and in this abstract for the American College of Cardiology, we wanted to look at baseline characteristics and differences in statin prescribing recommendations,” sai...

Artificial intelligence (AI) can help scientists identify patients at risk of a serious arrhythmia that is capable of triggering cardiac arrest and sudden death.  As part of a new study to be published in European Heart Journal, a network of artificial neurons imitating the human brain was developed by researchers from Inserm, Paris Cite University and the Paris public hospitals group (AP-HP), in collaboration with their colleagues in the US. During the analysis of data from over 240 000 ambulatory electrocardiograms, this algorithm identified patients at risk of a serious arrhythmia that was capable of triggering cardiac arrest within the following 2 weeks in over 70 per cent of cases. Each year, sudden cardiac death is responsible for over 5 million deaths worldwide. AI could help to...

A team of US researchers have developed an artificial intelligence (AI) based system that may help assess cognitive impairments and curb the risk of developing Alzheimer’s disease or dementia in older adults.  Mild cognitive impairment (MCI) can be an early indicator of Alzheimer’s disease or dementia, so identifying people with cognitive issues early could lead to interventions and better outcomes. However, diagnosing MCI can be a long and difficult process, especially in rural areas where access to licensed neuropsychologists is limited. Researchers from the University of Missouri created a portable system that comes with a depth camera, a force plate, and an interface board. The study showed it can efficiently measure multiple aspects of motor function. The team examined older adult...

Hypertension or high blood pressure can have a significant impact on kidney function, much before clinical symptoms begin to appear, according to a study that stressed the importance of early detection. The research, led by a team from the Medical University of Vienna in Austria, found that high blood pressure can lead to abnormalities in the podocytes -- specialised cells in the renal filter -- even without other pre-existing conditions such as diabetes. "Early detection and treatment could help to slow the progression of kidney disease and prevent long-term damage," said the researchers Rainer Oberbauer and Heinz Regele from the varsity. For the study, published in the journal "Hypertension", the team analysed kidney tissue from a total of 99 patients: who either suffered from high bl...

While sugary foods and beverages are more blamed for the global rise in obesity rates, a new study suggests that sodium -- found in chips, processed meat products, bread, and dairy products, especially cheese -- may also be a significant risk factor. The research presented at the European Congress on Obesity (ECO 2025) highlighted an alarming correlation between sodium intake and obesity, both in terms of overall body fat and abdominal fat. The study, led by researchers from the Finnish Institute for Health and Welfare in Finland analysed data from over 5,000 men and women aged 18 and older, examining their sodium intake as well as urine sodium concentration about their obesity status. Notably, all participants were found to exceed the recommended sodium intake of 5 grams or less per da...

A team of researchers has revealed powerful virtual reality (VR) treatment for speech anxiety, that is becoming increasingly more common over time globally.  Published in the journal Frontiers, the study reported work by Dr Chris Macdonald from University of Cambridge in the UK who created an online platform where users transform into skilled and confident public speakers. On the platform, tailored course material develops key skills and life-like virtual reality training environments build confidence. “In physical reality, a user might be practising a presentation alone in their bedroom but on the new virtual reality platform, they can experience the sensation of presenting to a wide range of increasingly challenging photorealistic audiences,” said Dr Macdonald. By developing a method ...

People with autism are typically diagnosed by clinical observation and assessment. To deconstruct the clinical decision process, which is often subjective and difficult to describe, researchers used a large language model (LLM) to synthesise the behaviours and observations that are most indicative of an autism diagnosis. Their results show that repetitive behaviours, special interests, and perception-based behaviours are most associated with an autism diagnosis. These findings have the potential to improve diagnostic guidelines for autism by decreasing the focus on social factors- which the established guidelines in the DSM-5 focus on but the model did not classify among the most relevant in diagnosing autism. "Our goal was not to suggest that we could replace clinicians with AI tools fo...

Millions of lives—and billions in healthcare costs—are at stake due to one critical but often ignored issue: failure to follow treatment plans. The World Heart Federation (WHF) warns that non-adherence to medication, lifestyle recommendations, and overall healthcare plans is fuelling preventable hospitalisations, worsening health outcomes, and straining healthcare budgets worldwide.  To address this crisis, WHF has partnered with leading institutions to mark March 27 as World Adherence Day—a global call to action to ensure patients stay on track with life-saving medicines and healthier lifestyles.   Across the globe, adherence rates to medical treatments and lifestyle changes are dangerously low. In high-income countries, it is estimated that more than 50 per cent of patients with chroni...