diff --git a/404.html b/404.html
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 <meta name="twitter:description" content="The page you were looking for could not be found. Please check the URL or navigate back to the homepage.">
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diff --git a/about.html b/about.html
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 <meta name="twitter:description" content="Project MONAI was originally started by NVIDIA & King's College London to establish an inclusive community of AI researchers for the development and exchange of best practices for A">
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diff --git a/core.html b/core.html
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 <meta name="twitter:description" content="MONAI Core is the flagship library of Project MONAI, providing powerful capabilities for medical AI development. It features medical-specific image transforms, state-of-the-art models like UNETR for 3D segmentation, and advanced frameworks like Auto3DSeg for automated model selection.">
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diff --git a/deploy.html b/deploy.html
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 <meta name="twitter:description" content="MONAI Deploy is a comprehensive framework for developing, packaging, testing, and deploying medical AI applications in research and development environments. Through its modular arch">
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diff --git a/index.html b/index.html
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 <meta name="twitter:description" content="MONAI is the leading open-source framework for healthcare imaging AI, trusted by researchers and clinicians worldwide. Build, train, and deploy medical AI solutions with industry-standard tools.">
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diff --git a/label.html b/label.html
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 <meta name="twitter:description" content="MONAI Label is an intelligent image labeling and learning tool that uses AI assistance to reduce the time and effort of annotating new datasets. By utilizing user interactions, MONAI">
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diff --git a/mayo-case-study.html b/mayo-case-study.html
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 <meta name="twitter:description" content="Learn how Mayo Clinic's Center for Augmented Intelligence in Imaging (CAII) uses MONAI to integrate AI models within clinical-imaging workflows.">
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diff --git a/mayo-siemens-case-study.html b/mayo-siemens-case-study.html
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 <meta name="twitter:description" content="From Institutional Development to Scalable Deployment: How Mayo Clinic's AI application was made available to researchers at over 10,000 institutions via Siemens Healthineers Digital Marketplace">
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diff --git a/model-zoo.html b/model-zoo.html
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 <meta name="twitter:description" content="Explore MONAI Model Zoo - a collection of pre-trained models for medical imaging tasks. Find and use state-of-the-art models for your healthcare AI applications.">
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diff --git a/start.html b/start.html
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 <meta name="twitter:description" content="Get started with MONAI - the freely available, community-supported, PyTorch-based framework for deep learning in healthcare imaging.">
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diff --git a/wg_deploy.html b/wg_deploy.html
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 <meta name="twitter:description" content="Bridging the gap between research and clinical production environments by bringing AI models into medical applications and clinical workflows.">
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diff --git a/wg_developers.html b/wg_developers.html
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diff --git a/wg_education.html b/wg_education.html
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 <meta name="twitter:description" content="Accelerating the adoption of AI in medical imaging through comprehensive educational resources and training materials.">
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diff --git a/wg_evaluation_benchmark.html b/wg_evaluation_benchmark.html
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 <meta name="twitter:description" content="Providing guidelines, infrastructure, and practical tools for quality-controlled validation and benchmarking of medical image analysis methods.">
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diff --git a/wg_federated_learning.html b/wg_federated_learning.html
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 <meta name="twitter:description" content="Accelerating medical research and clinical translation through federated learning in medical imaging.">
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 <meta name="twitter:description" content="Standardizing and supporting Human-AI-Interaction cycles through well-defined interfaces for AIaaS.">
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diff --git a/wg_ophthalmology.html b/wg_ophthalmology.html
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 <meta name="twitter:description" content="Developing open-source MONAI-based algorithms and tools for ophthalmology image analysis.">
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diff --git a/wg_outreach_adoption.html b/wg_outreach_adoption.html
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 <meta name="twitter:description" content="Establishing MONAI as a common software foundation for the Medical Imaging research and development community.">
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diff --git a/wg_ultrasound.html b/wg_ultrasound.html
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 <meta name="twitter:description" content="Advancing MONAI's support for ultrasound AI research and development, from point-of-care diagnosis to surgical robot guidance and from raw RF to 4D acquisitions.">
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diff --git a/working-groups.html b/working-groups.html
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 <meta name="twitter:description" content="MONAI Working Groups are specialized teams that drive innovation and progress in specific areas of medical imaging AI.">
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