Simon Johns, Director, Medical Information and Marketed Product Safety at IQVIA
The demand for accurate and timely medical information has never been greater. As healthcare providers and patients navigate an increasingly complex landscape of therapies…
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The government has announced a new package of AI tools, nicknamed ‘Humphrey’ to streamline the NHS and other public services.
A team of expert AI developers from the Department for Science, Innovation and Technology (DSIT) built…
Glaucoma is the leading cause of irreversible blindness globally. Research indicates a disproportionate impact of glaucoma on racial and ethnic minorities. Existing deep learning models for glaucoma detection might not achieve equitable performance across…
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While drug combinations are increasingly important in disease treatment, predicting their therapeutic interactions remains challenging. This review systematically analyzes computational methods for predicting drug combination effects through multi-omics data integration. We comprehensively assess key…
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There is a growing need to evaluate the agreement between the field methods and integrate artificial intelligence (AI) using two-dimensional (2D) photos for enhanced real-world analysis. This study evaluated the agreement between AI-2D photos…
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I tell the story in the talk about a particular algorithm that is able to pick out breast cancer cells and lymph nodes – very important. The algorithm alone was about 95%—that's pretty good….
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Editor’s Note: This is part two of a two-part interview. To read part one, click here.Children’s National Hospital, in Washington, D.C., is making robust use of artificial intelligence technologies in both clinical and administrative…
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While machine learning (ML)-based solutions—often referred to as artificial intelligence (AI) solutions—have demonstrated comparable or superior performance to human experts across various healthcare applications, their vulnerability to perturbations and stability to variations due to…
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What You Should Know:
– Mayo Clinic is expanding its collaboration with SandboxAQ, a provider of artificial intelligence (AI) medical apps to explore the use of electrocardiography (ECG) and magnetocardiography (MCG) technologies for…
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Digital twins (DTs) in precision medicine are increasingly viable, propelled by extensive data collection and advancements in artificial intelligence (AI), alongside traditional biomedical methodologies. We argue that including mechanistic simulations that produce behavior based…
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