The Recent Case-Jorie Kraus, May 2026 In a breakthrough story, a newborn girl with a rare genetic deletion on chromosome 10. Specialists at Mayo Clinic used an #AItool called #BiomedicalData translator to rapidly analyze her genome- The treatment worked like a “light switch” WOW

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

Explore how artificial intelligence powers precision medicine, enabling personalized diagnosis, and treatment, through data-driven care. Read More : thehealthcareinsights.com/ar… #TheHealthcareInsights #ArtificialIntelligence #PrecisionMedicine #HealthcareSystem #BiomedicalData

The Digital Pulse of Life: Bioinformatics in 2026 webref.org/wp/the-digital-pu… #Bioinformatics2026 #AlphaFold3 #Boltz1 #DigitalTwins #Pangenome #SpatialBiology #MultiOmics #DrugDiscovery #PrecisionMedicine #AIBiotech #Genomics #WebRef #STEM #FutureHealth #BiomedicalData

New in @The_InnovationJ! Innovative research paradigms, AI models, and autonomous robots at the 2025 world artificial intelligence conference. To develop AI that benefits all humanity, collaborative efforts and strategic planning are essential. On July 26, 2025, the Chinese government proposed the creation of a global AI cooperation organization with Shanghai as its tentative headquarters. doi.org/10.1016/j.xinn.2025.… #ArtificialIntelligence #BioAI #BiomedicalData

Data for Policy 2025 Asia-Pacific 23–24 Oct 📍 SRIIAS, @TongjiUni, Shanghai Day 2 keynotes: global experts on AI ethics, trustworthy agents, EU AI Act implications, biomedical data ethics & federated learning governance. Join the conversation shaping responsible AI 👉 Explore the full programme: dataforpolicy.org/data-for-p… 🔗 Learn more about our keynote speakers: mp.weixin.qq.com/s/_aDUi5M9D… #DataforPolicy #DfP2025 #AI #AIEthics #AIGovernance #ResponsibleAI #DigitalPolicy #DataScience #AsiaPacific #Shanghai #TechPolicy #FederatedLearning #EUAIAct #GDPR #Biomedicaldata @Cambridge_Uni @Data_and_Policy

Amgen hiring Associate Software Engineer Exp: 2-5 years jobformore.com/amgen-off-cam… #SoftwareEngineer #Jobformore #AmgenCareers #AIJobs #MLJobs #HyderabadJobs #NLP #GenerativeAI #BiomedicalData #HiringNow #TechCareers #Python

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

Information about the CHST4 gene (Carbohydrate Sulfotransferase 4), which is involved in the modification of glycosaminoglycans—molecules crucial for inflammation, adhesion, and cell signaling—is referred to as CHST4Data. Because of its function in lymphocyte homing and interactions in mucosal tissues, research on CHST4 data is frequently connected to immunology, cancer biology, and comprehending disease pathways. #CHST4 #Genomics #Bioinformatics #MolecularBiology #DataScience #Immunology #CancerResearch #GeneExpression #BiomedicalData #Biotech

#AIinBiomedicine #LLMs #Bioinformatics #BiomedicalData #MachineLearning #Python #RStats #HealthcareAI

📌 Suitable for learners and professionals from life sciences, data, and biomedical domains #AIinBiomedicine #LLMs #Bioinformatics #BiomedicalData #MachineLearning #Python #RStats #HealthcareAI #DataScience #LifeSciences #OnlineTraining #IBAB #IISER #KingsCollegeLondon

📢 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

Register now for the ARCH Workshop: "Building Visual Dashboards from Raw Biomedical Data using Google AI Studio" 📅 Aug 21 at 3:00 PM CT Beginner-friendly, no coding needed. Hosted by Kartik Saini. 🔗 Link in Bio! #AIM_AHEAD #BiomedicalData #DigitalHealth #AIWorkshop

📌 Suitable for learners and professionals from life sciences, data, and biomedical domains #AIinBiomedicine #LLMs #Bioinformatics #BiomedicalData #MachineLearning #Python #RStats #HealthcareAI #DataScience #LifeSciences #OnlineTraining #Masterclass #CodingForBiologists

No one announces a “data quality failure.” It shows up as delays, poor model performance, regulatory headaches, and slipping timelines. We’re great at collecting data, less so at making it usable. In science, shaky data is a risk, not just tech debt. #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

Traditional databases can't keep up with the complexity of #biomedicaldata. Enter Knowledge Graphs!💡 Our blog explains why they're essential for integrating vast datasets, generating new hypotheses & driving breakthroughs in the #LifeSciences 👉 elucidata.io/blog/biomedical… #AI