eHealthNews.EU Portal / Research News

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

Wed, 29 Apr 2026 10:00:00 +0200

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.

AI Tool may Spot ADHD Years Before Children are Diagnosed

Tue, 28 Apr 2026 10:00:00 +0200

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.

Growing Support for AI Models in Heart Disease Care and Prevention

Mon, 27 Apr 2026 10:00:00 +0200

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.

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

Fri, 24 Apr 2026 10:00:00 +0200

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.

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

Thu, 23 Apr 2026 10:00:00 +0200

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.

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

Wed, 22 Apr 2026 10:00:00 +0200

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,"

The Future of Breast Cancer Diagnosis and Treatment

Tue, 21 Apr 2026 10:00:00 +0200

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.

New AI Technology to Speed Drug Development

Mon, 20 Apr 2026 10:00:00 +0200

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.

AI Outperforms Doctors at Summarizing Complex Cancer Pathology Reports

Fri, 17 Apr 2026 10:00:00 +0200

AI models can generate more complete summaries of complex cancer pathology reports than physicians, according to a new Northwestern Medicine study that tested six models developed by Meta, Google, DeepSeek and Mistral AI.

The study was published in JCO Clinical Cancer Informatics, a journal from the American Society of Clinical Oncology.

AI Model Links Mental Health to Type 2 Diabetes

Wed, 15 Apr 2026 10:00:00 +0200

A new study using an advanced “digital twin” artificial intelligence model has found that factors such as loneliness, insomnia and poor mental health substantially raise a person’s future risk of developing type 2 diabetes.

The research, led by Anglia Ruskin University (ARU) in collaboration with Cranfield University, the University of Portsmouth, and Intelligent Omics Ltd, and published in Frontiers in Digital Health, used lifestyle and health data from 19,774 UK adults in the UK Biobank, tracked for up to 17 years.

Advancing Multimodal Intelligence in Colonoscopy

Tue, 14 Apr 2026 10:00:00 +0200

A new study maps the rapidly evolving field of intelligent colonoscopy. It argues that the next leap will come not from isolated-task modeling alone, but from generalized multimodal systems that can perceive, describe, locate, and discuss findings in clinically useful language. To move the field forward, the researchers broadly reviewed 63 datasets and 137 deep-learning models spanning classification, detection, segmentation, and vision-language tasks.

A New AI Model could Help Doctors Detect Lung Cancer Earlier

Mon, 13 Apr 2026 10:00:00 +0200

Lung cancer remains the leading cause of cancer-related deaths worldwide, accounting for nearly one in five cancer deaths - around 1.8 million lives lost each year. One of the main reasons is late diagnosis: in its early stages, the disease appears as extremely small nodules that are difficult to distinguish from healthy tissue, even for experienced radiologists.

AI could Transform Patient Education in Eye Care

Fri, 10 Apr 2026 10:00:00 +0200

From hospital leaflets to spoken answers in dozens of languages, new research from the University of East London (UEL) suggests artificial intelligence (AI) could dramatically improve how patients learn about serious eye conditions.

A research team led by UEL’s Dr Mohammad Hossein Amirhosseini and Dr Fatima Kalabi from Queen’s Hospital in London, in collaboration with Moorfields Eye Hospital in London, and Inselspital University Hospital of Bern in Switzerland, has developed a multilingual, voice-enabled AI chatbot designed to help people understand retinal detachment

AI and Clinicians Together Improve Pediatric Diagnosis

Tue, 31 Mar 2026 10:00:00 +0200

Accurate diagnosis in pediatric care can be particularly challenging, especially when rare diseases present with subtle or overlapping symptoms. Early uncertainty in diagnosis may delay treatment and increase the risk of complications. While artificial intelligence (AI) has shown potential in healthcare, most previous studies have relied on simplified or curated cases rather than real-world clinical data.