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Study Reveals Privacy Risks in Medical AI

AI models - for example, those used for cancer detection - are trained on patients’ health data. Even the mere fact that personal data has been incorporated into a model can have negative consequences for those affected if this information falls into the wrong hands. In Nature, a research team now shows that, using the right methods, this sensitive information can be extracted from models far more effectively than previously thought.

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Bristol NHS Group and Highland Bring Health Tech Innovation Directly to Health and Social Care Staff

Bristol NHS Group, in partnership with Highland, has successfully hosted its first Local Health Tech Showcase, bringing health and social care staff from across Bristol, North Somerset and South Gloucestershire (BNSSG) together with leading technology suppliers to explore how digital innovation can support frontline services and improve patient care.

Held at BAWA Health & Leisure, the event welcomed more than 250 attendees, who engaged directly with 40 exhibitors, showcasing a wide range of digital and physical solutions designed to address the real-world challenges faced by the NHS and its workforce.

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AI Model Detects Very Early Normally 'Invisible' Tissue Changes of Pancreatic Cancer

An AI model (REDMOD) can pick up the very early subtle tissue changes of pancreatic ductal adenocarcinoma, the most common form of pancreatic cancer, which conventional imaging and the human eye find difficult to detect, finds research published online in the journal Gut.

As such, it offers the potential to shift an all too common late stage, terminal disease diagnosis to one that is at an early stage (stage 0) and treatable, say the researchers.

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AI Tool may Spot ADHD Years Before Children are Diagnosed

Attention-deficit/hyperactivity disorder (ADHD) affects millions of children, yet many go years without a diagnosis, missing the chance for early support that can change long-term outcomes even when early signs are present.

In a new study, Duke Health researchers found that artificial intelligence tools can analyze routine electronic health records to accurately estimate a child’s risk of developing ADHD years before a typical diagnosis.

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Growing Support for AI Models in Heart Disease Care and Prevention

Digital transformation and artificial intelligence (AI) in healthcare requires a range of safeguards and standards to work well, but new research from Flinders University provides support for effective AI systems to improve cardiovascular care.

The study examines how Clinical Decision Support Systems (CDSS) can transform cardiovascular disease management - a leading cause of death in Australia - by providing more accurate, timely decisions while addressing real-world barriers like workflow integration, usability and clinician adoption.

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AI Speeds Up Drug Discovery, Designs New Antibiotic in Early Tests

Researchers at McMaster University have developed a new generative artificial intelligence (AI) model capable of drastically speeding up drug discovery - and, in early tests, it has already designed a brand-new antibiotic.

The discovery is a demonstration of how AI could dramatically improve the slow and costly search for new antimicrobial medicines, as bacteria and other microbes continue to evolve resistance to our current suite of drugs.

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New Cancer Research Tool Predicts Patient Survival at Single-Cell Resolution

Oregon Health & Science University researchers have developed a first-of-its-kind method to predict cancer patient survival using advanced molecular data from individual cells.

Survival analysis is central to clinical oncology. Modern cancer studies can now measure gene activity in single cells from a patient’s tumor and link this information to how long patients live.

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AI can Use a Photo of the Eye to Estimate Retinal Age, Flag Risk for Major Diseases

There may be some truth to the saying "the eyes are the window to the soul." Age-related changes are reflected in the retina, the light-sensitive tissue at the back of the eye. Recent research shows that a photo of the retina may also reveal potential risks for major diseases like diabetes. A research group led by Professor Toru Nakazawa at the Tohoku University Graduate School of Medicine has developed an artificial intelligence (AI) model that estimates "retinal age,"

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The Future of Breast Cancer Diagnosis and Treatment

Artificial intelligence (AI) is transforming breast cancer care by improving diagnosis, treatment planning, and drug development. AI technologies, particularly deep learning (DL) and machine learning (ML), are enhancing screening efficiency, reducing errors, and aiding in personalized treatment decisions. With the ability to analyze large datasets, AI is revolutionizing how breast cancer is detected and managed, leading to better outcomes for patients.

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New AI Technology to Speed Drug Development

University of Virginia School of Medicine scientists have developed a bold new approach to drug development and discovery that could dramatically accelerate the creation of new medicines.

UVA’s Nikolay V. Dokholyan, PhD, and colleagues have developed a suite of artificial intelligence-powered tools, called YuelDesign, YuelPocket and YuelBond, that work together to transform how new drugs are created.

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