Scripps Research scientists published a new #mSystems article describing the @NIAIDNews Discovery Portal, a metadata-driven platform that enables discovery of infectious and immune-mediated disease datasets. More: ow.ly/iGwC50XSA8G #BiomedicalData #InfectiousDisease

A Generative AI System for Biomedical Data Discovery with Grammar-Based Visualizations 1. This innovative system merges generative AI with grammar-based visualizations to enhance biomedical data discovery. It uses a multi-agent system to generate interactive visualizations and apply filters dynamically, creating a progressive and linked dashboard that adapts to user needs. 2. The system leverages natural language processing to interpret user requests and transform them into visualizations. It supports complex filtering across multiple related data tables, allowing users to refine their data discovery process with both natural language and traditional UI interactions. 3. A key innovation is the fine-tuning of large language models specifically for biomedical metadata visualizations. This ensures that the system can generate accurate and relevant visualizations tailored to the biomedical domain, improving the utility of the interface for researchers. 4. The prototype includes a conversational chat interface and a multi-view visualization panel. Users can send free text requests, and the system responds with visualizations and filter actions, progressively building a comprehensive dashboard that reflects the user’s data exploration journey. 5. The system’s design emphasizes transparency and user control. Actions taken by the AI agents are clearly communicated, and users can adjust or correct the filters and visualizations generated by the system, ensuring a flexible and user-friendly experience. 6. The authors conducted a case study demonstrating the system’s capabilities in a biomedical data discovery scenario. The results highlight the potential of this approach to support complex data exploration tasks and uncover insights that might be missed with traditional interfaces. 📜Paper: arxiv.org/abs/2509.16454 #GenerativeAI #BiomedicalData #Visualization #DataDiscovery #AIResearch

📢 Happening TODAY! Join the ARCH Workshop: “Building Visual Dashboards from Raw Biomedical Data using Google AI Studio” 🕒 3–4 PM CT | 4–5 PM ET 💻 Virtual & Beginner-friendly. No coding needed! Still time to register! 🔗 Link in Bio! #ARCHWorkshop #BiomedicalData #AI

Fundamentals of FAIR biomedical data analyses in the cloud using custom pipelines. #FAIR #BiomedicalData #CloudPipeline @PLOSCompBiol journals.plos.org/ploscompbi…

The #NIH-supported #BiomedicalData Translator — an #ArtificialIntelligence tool that connects existing public biomedical data sources — was used to help identify possible therapeutic treatments for a child with a genetic #RareDisease. Learn more about this story ⬇️

We’re excited to share the initial public release of the #BiomedicalData Translator! Translator is an #ArtificialIntelligence tool that harmonizes data sources & interprets them, empowering researchers to explore evidence-based strategies for both understanding & treating #RareDiseases. Learn how Translator can lead to improved patient care: ascpt.onlinelibrary.wiley.co…

UK Biobank hits 100,000 scan milestone, as data reveals early disease signatures and new biological aging insights across organ systems. longevity.technology/news/la… #longevity #UKBiobank #precisionhealth #agingresearch #biomedicaldata #healthspan #futureofmedicine

🌍 Join Us in Shaping the Future of Data Science in Africa! 📅 August 23–29, 2025 | 📍 Accra, Ghana #DSIAfrica | #DataForHealth | #DSIAfrica2025 We’re calling on forward-thinking organizations to partner with us at the 5th DS-I Africa Consortium Meeting and Data for Health in Africa Meeting 2025. This landmark event brings together leaders in #DataScience, #MachineLearning, #AI, #Genomics, and #Bioinformatics to catalyze cross-continental collaboration and innovation in health research. 🤝 Sponsorship Packages Now Available: Whether you're looking to exhibit, present, or network with Africa’s top minds and innovators, we have tailored sponsorship opportunities ranging from $5,000 to $15,000 . 🔍 What’s in it for sponsors? ✔️ Prime visibility across Africa’s growing data science landscape ✔️ Access to 300 delegates from 30 countries ✔️ Booths, speaking opportunities, logo placements, and networking ✔️ Align your brand with innovation, and sustainable health impact 💡 Highlights include: #Datathon with public health and geospatial data streams #FundersForum with Wellcome Trust, and others Thematic sessions on #MentalHealth, #Africa, #RareDiseases, and more! Engagement with Major Initiatives: #DSIAfrica Research Hubs like INFORM Africa Hub, CAMRA, and MADIVA have strong genomics elements to drive scalable health solutions. Showcases from #BCXAfrica, #DDDAfrica, #ILERA, and #DSpace Feature platforms like eLwazi Open Data Science Platform and the African Bioinformatics Institute 📬 To sponsor or exhibit, contact: 📧 francis.agamah@uct.ac.za | ds-i-africa.admin@uct.ac.za 🔗 Learn more: dsi-africa.org #NIH #AfricaInnovation #GlobalHealth #HealthData #DataEthics #Networking #OpenScience #Health #CSR #Partnerships #BiomedicalData #SponsorshipOpportunity #DSIAfrica #DSIAfrica2025

Learn how a $7 million gift from an anonymous donor will help Einstein researchers harness large sets of #biomedicaldata that can lead to medical breakthroughs. bit.ly/43fQdNg #research #Data #Innovation

🔒 U.S. Blocks China’s Access to Key Data—Beijing Responds with AI Infrastructure Blitz asianfin.com/articles/126861 🇺🇸 What Happened? On May 18, the U.S. shut the digital gates on China. The NIH (National Institutes of Health) quietly blocked Chinese access to major biomedical datasets—like SEER, TCGA, GTEx, and GDC—citing Biden’s Executive Order 14117, aimed at shielding sensitive U.S. data from "countries of concern." 📌 Translation: China just lost access to some of the world's most critical AI training data. 🇨🇳 Beijing’s Response? Go Big on Data Sovereignty China isn’t sitting still. 🚀 In a rapid counter-move, the National Data Administration (NDA) rolled out its first Digital China Construction Action Plan, with bold goals: Digital economy core to hit 10% of GDP Computing power to exceed 300 EFLOPS 7.5 trillion yuan ($1.03T) domestic data industry by 2030 “Data is no longer just a byproduct—it’s the new industrial blood of AI,” — Liu Liehong, Director of the NDA 📈 Why It Matters for AI: AI models thrive on quality data. Without it, they "hallucinate"—making things up, tanking trust. That’s why China is fast-tracking: High-quality annotated datasets Verticalized industry data AI agents integrated into public services (like Zhejiang’s hospitals using DeepSeek) 💡 China now produces 23% of the world’s data, and that’s set to rise to nearly ⅓ by 2025. 🛠️ The Big Buildout: Key players and policies in motion: 17 trillion TB of data annotated 120 Chinese LLMs supported Trusted Computing 3.0: China’s cybersecurity answer to AI threats Autonomous AI agents: transforming software, healthcare, and governance “Every app is worth redoing in the AI era.” — Liu Bo, CTO, Anheng Info “AI now understands behavior better than humans.” — Fan Yuan, DBAPPSecurity 🔐 Strategic Stakes: Beijing sees data control = tech leadership. And as the U.S. tightens the leash, China’s building its own full-stack digital fortress—from compute and storage to pipelines and policy. “Data sovereignty is tech sovereignty now. And the clock’s ticking.” — Professor Xu Tao, Chinese Academy of Sciences #DataSovereignty #AIChina #NIH #USChinaTechWar #DigitalChina #LLM #NDA #AIInfrastructure #BiomedicalData #TrustedComputing

The most powerful approach? Machine learning plus expert curation. Because a model can tag metadata—but a human knows when it matters. #AI #BiomedicalData #Biopharma

📢 BREAKING: U.S. NIH to Block China, Russia, Iran from Key Biomedical Databases The U.S. National Institutes of Health (NIH) will cut off access to vital genomic and health data for researchers in China, Russia, Iran, and other "countries of concern" starting April 4, 2025, citing national security. 📄 NIH's Office of the Director confirmed the move aligns with the DOJ’s final rule implementing Executive Order 14117, restricting foreign access to sensitive U.S. data. 🧠 The ban affects major repositories used in: Cancer research Genomic medicine Rare disease diagnostics Global public health 📉 Chinese scientists warn this could severely damage international collaboration in precision medicine and data-driven biomedical innovation. 💬 DOJ restrictions kick in April 8, intensifying the U.S. crackdown on foreign data access. 🔍 What’s at stake: Global research setbacks U.S.-China scientific decoupling Ethical & geopolitical questions over data gatekeeping #NIH #USChina #BiomedicalData #Genomics #DataSecurity #ExecutiveOrder14117 #ScientificDecoupling #DOJ #AsianFin #BreakingNews #ResearchFreedom #XQuickTake #GlobalHealth #CFPAnalysis

1 Day Left! Join our mentor-led workshop "Analysis of Biomedical Data and Application of Machine Learning using R" Date: 18-20 Mar 2025 Time: 10:00 AM IST Enroll now: nanoschool.in/enroll-me/?pid… Know more: nanoschool.in/biotechnology/… #MachineLearning #BiomedicalData #AIinHealthcare

🚀 Call for Papers: Special Issue on "Advanced Algorithms for Biomedical Data Analysis" 🧠 📚 Guest Editor: Dr. Micheal Olaolu Arowolo. 🔍 Explore the full details and submission guidelines here: mdpi.com/journal/algorithms/… #medicalimaging #wearabletechnology #biomedicaldata

📊 NCATS’ #BiomedicalData Translator is an AI-powered research platform that combines several types of data to help researchers identify and develop treatments for both common and #RareDiseases. Learn more: go.nih.gov/Qs95G7a #ArtificialIntelligence

📊💊 Revolutionizing Drug Discovery with Knowledge Graphs! 🤖✨ Knowledge Graphs (KGs) are transforming drug discovery by enabling tasks like drug repurposing, toxicity prediction, and gene-disease prioritization 🔍🧬. AstraZeneca’s collection of datasets, research papers, and tools provides the foundation to build powerful KGs, accelerating innovation 🚀. Explore the survey paper "A Knowledge Graph Perspective" for insights into cutting-edge applications, challenges, and future directions 🌟. Let’s harness KGs to reshape pharma! github.com/AstraZeneca/aweso… #DrugDiscovery 💊 #KnowledgeGraph 🔗 #PharmaInnovation 🚀 #MachineLearning 🤖 #BiomedicalData 📊 #OpenScience 🌐

Exciting new preprint: "Construction, Deployment, and Usage of the Human Reference Atlas Knowledge Graph for Linked Open Data" Visit: biorxiv.org/content/10.1101/… #HumanReferenceAtlas #KnowledgeGraph #BiomedicalData #OpenScience #SPARQL #HRA @katycns @AndreasBueckle @NIH @_hubmap

NCATS’ #BiomedicalData Translator is integrating the vast amounts of currently available medical research data and accelerating the development of new treatments. Learn how Translator can lead to improved patient care: ow.ly/KpyR50Uh17M

.@Nature asks if #ArtificialIntelligence can change #TranslationalScience. Read how NCATS is doing just that in the latest Spotlight article showcasing NCATS’ #BiomedicalData Translator, an innovative AI tool matching patients’ symptoms with treatments! nature.com/articles/d41586-0…

Read the latest @Nature article featuring NCATS’ #BiomedicalData Translator — a diagnostic #ArtificialIntelligence tool! There are insights from NCATS Director Dr. Joni Rutter and Office of Drug Development Partnership Programs Director Dr. Christine Colvis. Check it out! nature.com/articles/d41586-0…