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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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AI Model Links Mental Health to Type 2 Diabetes

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.

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Advancing Multimodal Intelligence in Colonoscopy

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.

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A New AI Model could Help Doctors Detect Lung Cancer Earlier

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.

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AI could Transform Patient Education in Eye Care

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

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When Surgeons Say 'Wow': A Game Changer for Orthopaedic Surgery

From saving surgeons’ precious time, to reducing surprises and clinical risks in theatre, cutting MDT time in half, and informing decisions before procedures, surgical teams in the SWASH+ consortium of NHS trusts are embracing a ’game changer’ in orthopaedic planning technology with Sectra. David Howard, orthopaedic surgical practitioner at Hampshire Hospitals NHS Foundation Trust, gives the detail.

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AI and Clinicians Together Improve Pediatric Diagnosis

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.

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An Avatar to Study Pediatric Brain Cancer

The model organ for this research project is the best pediatric brain tumor model developed so far and can be used to test new drugs. The results of the project, conducted by the University of Trento with Bambino Gesù Children's Hospital in Rome, were published in the Nature Protocols.

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