Artificial Intelligence in Nephrology: Clinical Applications and Challenges.
AI in nephrology offers potential benefits and challenges. It can enhance patient care and address health inequities. 🤖💉
January 15, 2025
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Discover the newest research about AI innovations in 🧬 Rare Diseases.
Health Tech Insights: Expectations for 2025
Health Tech Insights: Expectations for 2025 📊
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. 🏥✨
January 2, 2025
Digital-Tier Strategy Improves Newborn Screening for Glutaric Aciduria Type 1.
A digital-tier strategy significantly reduces false positives in newborn screening for Glutaric Aciduria Type 1. 📉👶
December 28, 2024
AI-Driven Drug Discovery for Rare Diseases.
AI is transforming drug discovery for rare diseases, addressing challenges in treatment options and diagnostics. 🌍💊
December 18, 2024
Artificial intelligence-guided design of lipid nanoparticles for pulmonary gene therapy.
AI enhances lipid nanoparticle design for gene therapy. Promising results in mRNA delivery to lungs and muscle. 🌬️💉
December 11, 2024
Philips and Mayo Clinic Collaborate to Enhance Cardiac MRI with AI
Philips and Mayo Clinic collaborate to improve cardiac MRI using AI, enhancing efficiency and patient experience. 🫀🤖
December 11, 2024
Diagnostic potential of salivary microbiota in persistent pulmonary nodules: identifying biomarkers and functional pathways using 16S rRNA sequencing and machine learning.
Salivary microbiota may aid in diagnosing persistent pulmonary nodules. Key biomarkers identified through advanced machine learning techniques. 🦠🔍
November 29, 2024
Comparative educational effectiveness of AI generated images and traditional lectures for diagnosing chalazion and sebaceous carcinoma.
AI-generated images enhance diagnostic skills for chalazion and sebaceous carcinoma. Traditional lectures remain effective too. 📚🤖
November 27, 2024
Automatic localization and deep convolutional generative adversarial network-based classification of focal liver lesions in computed tomography images: A preliminary study.
A new study reveals a deep learning system for accurately diagnosing liver lesions in CT images. 🤖🩻
November 15, 2024
Be-dataHIVE: a base editing database.
Explore BE-dataHIVE, a comprehensive database for base editing research. It supports precise gene editing with over 460,000 gRNA combinations. 🧬📊
October 27, 2024