Explore tweets tagged as #BiomedicalData
@jsantoyo
Javier Santoyo
22 days
Xenbase: 25 years of integrating molecular and biomedical data from Xenopus. #Xenopus #MolecularData #BiomedicalData #Genetics 🧪🧬 🖥️ https://t.co/XJzii7MaBV
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@TycoonStoryCo
TYCOONSTORY MEDIA
2 years
Sable Bio, a London-based AI drug tester, raised ÂŁ1.5 million in 2023 to analyze big biomedical data for drug safety, potentially reducing animal testing #biotechstartup #testingtechnology #biomedicaldata #funding #partnerships #drugdiscovery #medtech #healthtech #safetytesting
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@Feature_Cloud
FeatureCloud
2 years
Incredible insights by Jennifer Jensen & Lucas Dyssel on WP5's large-scale unsupervised #FederatedLearning for #BiomedicalData! 🧬📊 What was the goal? Creating a pipeline for de novo endophenotyping of patient cohorts, paving the way for groundbreaking follow-up analyses. 💡
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@LongevityTech
Longevity Technology
5 months
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
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@ncats_nih_gov
NCATS
5 months
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
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@mxowen12
Mohamed Ahmed
2 years
🚀 Introducing Med-PaLM Multimodal (Med-PaLM M) - the ultimate generative model for a) biomedical data! 🧬📊 b) understands clinical language, c) medical images, and genetic info. 🌟🔍 #MedPaLMM #BiomedicalData #AI #Research #CuttingEdge #Innovation #Tech #Medicine #Healthcare
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@helder_nakaya
Helder Nakaya
2 years
How do you deal with outliers in #biomedical research? Outliers are common in #BiomedicalData and can originate from various sources. (Tool link below) #DataScience 🧪🔬 (1/6)
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@dkNET_Info
dkNET
2 years
📢 Funding Alert! NIDDK is now part of the PAR-23-237, focusing on enhancing and managing established #biomedicaldata repositories and knowledgebases. This opens up new opportunities for research in #diabetes, #digestive, #kidney and related diseases! https://t.co/uRJQXUvu3Q
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@cnag_eu
CNAG
2 years
🚀Important milestone achieved in DATOS-CAT: new tools for data characterization and standardization 🎯The project enhance the visibility and scientific impact of population-based cohorts from Catalonia 📎 https://t.co/6CjYtzmY2d #CNAG #BiomedicalData #PersonalizedMedicine
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@ncats_nih_gov
NCATS
1 year
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!
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@Entropy_MDPI
Entropy MDPI
3 years
New #SpecialIssue "Machine Learning and Entropy Based Methods for Biomedical Data Analytics and Modeling", edited by Prof. Dr. Gastone C. Castellani, is open for submission! https://t.co/lEnimODxCe #machinelearning #entropy #biomedicaldata #biomedicalsystems
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@NatCen
NatCen
3 years
On #InternationalNursesDay, we want to shout out to the amazing nurses who help us with biomedical research across the Health Survey for England, National Diet and Nutrition Survey and National Child Development Study. #BioMedicalData
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@ncats_nih_gov
NCATS
1 year
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
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@AIM_AHEAD
AIM AHEAD CONSORTIUM
4 months
📢 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
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@ncats_nih_gov
NCATS
10 months
📊 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
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@Bioeng_MDPI
Bioengineering MDPI
2 years
💥Check out the Special Issue on "Advances of Biomedical Signal Processing" 🩺🤖 which features a remarkable collection of 14 groundbreaking papers. 👏Welcome to read and download freely. Find the full SI here🔗: https://t.co/uMpt0GX9hE #biomedicalsignal #biomedicaldata
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@ncats_nih_gov
NCATS
1 year
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
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@jsantoyo
Javier Santoyo
5 months
Fundamentals of FAIR biomedical data analyses in the cloud using custom pipelines. #FAIR #BiomedicalData #CloudPipeline @PLOSCompBiol https://t.co/Vyo1ead48P
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