Top Tweets for #BiomedicalData
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: https://t.co/LVcm43MwPj #BiomedicalData #InfectiousDisease
📢 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
https://t.co/Vyo1ead48P
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 ⬇️
Medical breakthrough using AI at Mayo Clinic gives hope to rare disease population https://t.co/Os7qdXJYz7
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: https://t.co/l9RJhtOBhh
UK Biobank hits 100,000 scan milestone, as data reveals early disease signatures and new biological aging insights across organ systems.
https://t.co/YFrtSj1t3e
#longevity #UKBiobank #precisionhealth #agingresearch #biomedicaldata #healthspan #futureofmedicine
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.
https://t.co/YzwtpgJt6K #research #Data #Innovation
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
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: https://t.co/L4XbnGqpE1
Know more: https://t.co/yKS3lbwisP
#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: https://t.co/RQeJVEFUD4
#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: https://t.co/CPFo0z5ggQ #ArtificialIntelligence
Exciting new preprint: "Construction, Deployment, and Usage of the Human Reference Atlas Knowledge Graph for Linked Open Data" Visit: https://t.co/1fYAU5aTyq #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: https://t.co/XiFV9pVAje
.@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!
https://t.co/3G406NuLu0
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! https://t.co/hIGSuGlubV
Don’t miss it! Applications for the NCATS #BiomedicalData Translator: Performance Phase are due today by 5 p.m. Apply to help biomedical researchers create new hypotheses through the development of systems & knowledge graphs that connect data sources. https://t.co/PTjfTuhro7
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks. #KnowledgeGraphs #BiomedicalData #BiomedicalKnowledgeGraphs @BioinfoAdv
https://t.co/Xio5EQzFq1
Excited to share news that the @UniofOxford are part of new international Pioneer Centre for medical data research!
https://t.co/dZvYxRS5sr
#MedicalResearch #BiomedicalData #DataScience @OxfordMedSci
New Pioneer Centre, SMARTbiomed, will become a significant international partner for data-driven medical research. Made possible by DKK 250 M funding from @Lundbeckfonden, @Novonordiskfond, @Villumfonden, @Carlsbergfondet and @GrundforskFond.
More here: https://t.co/PCN2eJQcni
Help expand the #BiomedicalData Translator resource! During the Development phase of the Translator program, NCATS built a system that is already making progress in helping researchers create hypotheses, particularly in the #DrugRepurposing space. Learn more about what’s next! https://t.co/jGs7smmoxa
Do you want to contribute to a resource that helps researchers make hypotheses by connecting hundreds of existing data sources? Check out our new NCATS #BiomedicalData Translator consortium #FundingOpportunity.
Get the application details: https://t.co/PTjfTuhro7
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