Tag: AI in medicine
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Google DeepMind unveils AlphaGenome to map genetic drivers of disease
Overview: A new AI tool for genetic insights Google DeepMind has introduced AlphaGenome, a pioneering artificial intelligence tool designed to help scientists identify the genetic drivers of disease. By focusing on how specific genetic mutations influence disease pathways, the platform aims to accelerate research, reduce time to discovery, and open new avenues for targeted therapies.…
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How Google’s Confident AI Overviews Risk Public Health
Introduction: The rise of AI Overviews in health queries Search engines increasingly rely on artificial intelligence to summarize complex medical topics. When users ask a question like Do I have the flu or COVID? or Why do I wake up tired?, AI-powered Overviews can present concise answers designed to feel confident and definitive. While speed…
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Qure.ai Secures Gates Grant to Advance Open-Source Lung AI for Underserved Health Systems
Overview of the Gates Foundation Grant Qure.ai, a leading provider of AI-powered medical imaging tools, has been awarded a grant by the Bill & Melinda Gates Foundation. The funding, whose exact amount was not disclosed, aims to accelerate the development of open-source datasets and AI tools for lung disease detection in under-resourced health settings. The…
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AI Tool to Prevent Hip Dislocation in Cerebral Palsy
Overview: A collaborative push to prevent hip dislocation in cerebral palsy Researchers from the Universities of Manchester and Liverpool, together with Manchester Imaging Ltd, have secured a £1.2 million grant from the National Institute for Health and Care Research to develop an automatic tool aimed at preventing hip dislocation in children with cerebral palsy (CP).…
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Multiple Sclerosis Breakthrough: AI Discovers Two Subtypes
New Subtypes Identified with Artificial Intelligence In what scientists are calling a landmark development, researchers have used artificial intelligence to identify two previously unrecognized subtypes of multiple sclerosis (MS). The discovery could usher in a new era of personalized medicine for the disease, which affects millions worldwide. While much about MS remains complex and path…
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Early Detection of Alzheimer’s Disease from Short Speech Samples: Lightweight, Interpretable Linguistic Markers
Overview Detecting Alzheimer’s disease (AD) early is a global priority as timely intervention can slow progression and enhance quality of life. Recent research demonstrates that brief speech samples, when analyzed with lightweight and interpretable linguistic markers, can reveal early cognitive changes associated with AD. This approach focuses on practical, scalable tools that clinicians, caregivers, and…
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Voice Restoration After Cancer: AI Helps Reclaim Speech
When cancer steals more than life it steals a voice For some people, a cancer diagnosis means more than medical battles; it can mean losing something as intimate as one’s own voice. When doctors told Sonya Sotinsky that removing her tongue and voice box was necessary to save her life, she faced a future where…
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Linus Health AI: Early Digital Biomarker for Alzheimer’s
Breakthrough peer-reviewed findings validate Linus Health AI as an early biomarker In a landmark development for Alzheimer’s research, multiple peer-reviewed studies have validated Linus Health’s artificial intelligence platform as an effective early digital biomarker for Alzheimer’s pathology. The new evidence indicates that AI-driven analysis can flag biological signatures associated with Alzheimer’s disease before cognitive symptoms…
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New Ultrasound Tech Cuts False Positives in Breast Exams
Revolutionary ultrasound technology from Johns Hopkins A new ultrasound innovation developed at Johns Hopkins offers a breakthrough in breast imaging. By differentiating fluid-filled areas from solid breast masses with near-perfect accuracy, the technology promises to dramatically reduce false positives that have long led to unnecessary biopsies and follow-up tests. How the technology works Traditional breast…
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AI-Based Cardiovascular Disease Prediction: Insights from Longitudinal Data in Iran
Overview Cardiovascular disease (CVD) remains a leading cause of mortality worldwide. In Iran, where mortality rates from heart conditions are notably high, researchers are turning to artificial intelligence (AI) and machine learning (ML) to improve risk prediction. This article summarizes the development and validation of an AI-based model designed to predict cardiovascular events using longitudinal…