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AI Tool Offers Deep Insight into the Immune System

Researchers explore the human immune system by looking at the active components, namely the various genes and cells involved. But there is a broad range of these, and observations necessarily produce vast amounts of data. For the first time, researchers including those from the University of Tokyo built a software tool which leverages artificial intelligence to not only offer a more consistent analysis of these cells at speed but also categorizes them and aims to spot novel patterns people have not yet seen.

Yousif's Story with Sectra and The King's Trust

Embarking on healthcare technology career after leaving his home as a refugee during his teenage years, Yousif is passionate about making a difference. He reflects on an apprenticeship in which he has worked alongside technology innovators and the hospital teams that put solutions into practice for patient care.

When Yousif saw an opportunity advertised to learn skills that would help him begin a technology career, his attention was caught.

New AI Tools Help Scientists Track How Diseases Start

Artificial intelligence (AI) can solve problems at remarkable speed, but it’s the people developing the algorithms who are truly driving discovery. At The University of Texas at Arlington, data scientists are creating sophisticated formulas that enable AI to interpret massive biological datasets to uncover how diseases start, how the immune system responds, and what treatments might work best.

Highland to Help Companies Seize 'New Era' in Health Tech Growth

Health tech growth partner Highland has today revealed its new identity - reflecting a sharper focus as it helps health tech companies to find market opportunities, convince target audiences, and drive growth.

Known for nearly a quarter of a century as Highland Marketing, the company has built a strong reputation for launching and championing many successful health tech brands.

Study Finds One-Year Change on CT Scans Linked to Future Outcomes in Fibrotic Lung Disease

Researchers at National Jewish Health have shown that subtle increases in lung scarring, detected by an artificial intelligence-based tool on CT scans taken one year apart, are associated with disease progression and survival in patients with fibrotic interstitial lung disease. The findings, recently published in the American Journal of Respiratory and Critical Care Medicine, suggest that computer-based image analysis may provide an earlier, more objective way to identify patients at highest risk for worsening disease.

New Antibiotic Targets IBD - and AI Predicted How it would Work

Researchers at McMaster University and the Massachusetts Institute of Technology (MIT) have made two scientific breakthroughs at once: they not only discovered a brand-new antibiotic that targets inflammatory bowel diseases (IBD), but also successfully used a new type of AI to predict exactly how the drug works. To their knowledge, this a global first for the AI.

New AI Tool Scans Social Media for Hidden Health Risks

A new artificial intelligence tool can scan social media data to discover adverse events associated with consumer health products, according to a study published September 30th in the open-access journal PLOS Digital Health by John Ayers of the University of California, San Diego, U.S., and colleagues.

The constant post-market surveillance of the safety of consumer products is crucial for public health and safety.

AI can Strengthen Pandemic Preparedness

How to identify the next dangerous virus before it spreads among people is the central question in a new Comment in The Lancet Infectious Diseases. In it, researchers discuss how artificial intelligence (AI), combined with the One Health approach, can contribute to improved prediction and surveillance.

"Artificial intelligence cannot by itself prevent pandemics, but the technology can be a powerful supplement to the knowledge and methods we already use.

'Future-Guided' AI Improves Seizure Prediction

In the world around us, many things exist in the context of time: a bird’s path through the sky is understood as different positions over a period of time, and conversations as a series of words occurring one after another.

Computer scientists and statisticians call these sequences time series. Although statisticians have found ways to understand these patterns and make predictions about the future, modern deep learning AI models struggle to perform just as well, if not worse, than statistical models.

AI Body Composition Measurements can Predict Cardiometabolic Risk

Adiposity - or the accumulation of excess fat in the body - is a known driver of cardiometabolic diseases such as heart disease, stroke, type 2 diabetes, and kidney disease. But getting the full picture of a person’s risk is harder than it may seem. Traditional measures such as body mass index (BMI) are imperfect, conflating fat and muscle mass and not capturing where in the body fat is located.

DIGITAL HEALTH NEWS

AI Tool Offers Deep Insight into the Immune System

Yousif's Story with Sectra and The King's Trust

New AI Tools Help Scientists Track How Diseases Start

Highland to Help Companies Seize 'New Era' in Health Tech Growth

Study Finds One-Year Change on CT Scans Linked to Future Outcomes in Fibrotic Lung Disease

New Antibiotic Targets IBD - and AI Predicted How it would Work

New AI Tool Scans Social Media for Hidden Health Risks

AI can Strengthen Pandemic Preparedness

'Future-Guided' AI Improves Seizure Prediction

AI Body Composition Measurements can Predict Cardiometabolic Risk

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