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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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AI Outperforms Doctors at Summarizing Complex Cancer Pathology Reports

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.

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Observatory for Digital Health Technologies in Europe - Final Report

This report offers a comprehensive analysis of the EU27 digital health landscape, combining market intelligence, stakeholder insights and economic modelling to inform future policy and investment.

The first part of the report provides a detailed overview of the EU digital health technology market. It identifies the key drivers, barriers, and structural characteristics of the European digital health ecosystem, including vendor distribution, market fragmentation, maturity levels of different technology domains, and the roles of providers, regulators, and investors. The analysis highlights strong growth perspectives for the EU digital health market, where Artificial Intelligence stands out as a key technology.

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