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  1. AWS deployed a GraphRAG architecture using Amazon Neptune and Bedrock to map fragmented medical data into queryable networks and speed up drug research by 87 percent. artificialintelligence-news.co #aws #graphrag #medicine #pharmatech #ai #technology

  2. AWS deployed a GraphRAG architecture using Amazon Neptune and Bedrock to map fragmented medical data into queryable networks and speed up drug research by 87 percent. artificialintelligence-news.co

  3. Managing pharmaceutical artwork doesn’t have to be complex. With Discus Artwork Management, streamline every step—from review to approval—with complete compliance and traceability.

    Get started today: zurl.co/qo3IL
    Free demo on +91 81414 42222

    #ArtworkManagement #PharmaCompliance #RegulatoryCompliance #PharmaIndustry #DocumentControl #QualityManagement #GMP #LifeSciences #DigitalTransformation #Automation #PharmaTech #DiscusIT

  4. How I Built a Machine Learning Tool to Predict Drug Manufacturing Failures

    A bioprocess engineer's journey into machine learning and why the pharmaceutical industry desperately needs this bridge When I tell people I work in bioprocess engineering, I usually get blank stares. When I explain that I help manufacture proteins in giant tanks for therapeutic use, the response is often: "Oh, like brewing beer?" Not quite. But close enough. What I don't usually mention is that I've been teaching myself machine learning on nights and weekends. Not because it's trendy, but […]

    kemal.yaylali.uk/from-bioreact

  5. AI is revolutionising drug discovery.
    From designing molecules to predicting clinical outcomes, AI accelerates development and reduces costs.
    Explore how AI is transforming pharmaceutical research:
    #aimartz #aimartz.com #AIDrugDiscovery #PharmaTech #InnovationInMedicine

    aimartz.com/blog/ai-in-drug-di

  6. Validating Shiny Apps in Regulated Environments by our Data Scientist Pedro Silva at R/Medicine is now out!

    In this talk, Pedro explores how to make Shiny apps trustworthy and compliant in regulated settings. From validation principles to practical tools like the Litmusverse, it’s a must-watch for anyone building clinical or healthcare dashboards with R.


    youtube.com/watch?v=ebIk2fxFUfI

  7. Validating Shiny Apps in Regulated Environments by our Data Scientist Pedro Silva at R/Medicine is now out!

    In this talk, Pedro explores how to make Shiny apps trustworthy and compliant in regulated settings. From validation principles to practical tools like the Litmusverse, it’s a must-watch for anyone building clinical or healthcare dashboards with R.

    #RStats #Shiny #RMedicine2025 #Validation #ClinicalResearch #PharmaTech #Litmusve
    youtube.com/watch?v=ebIk2fxFUf

  8. 🔧 Why High Availability is Crucial for Level 3 Applications 🔧

    In industries like pharmaceuticals, manufacturing, and food production, Level 3 systems are the backbone of operations. Ensuring their high availability isn't just about minimizing downtime—it's about maintaining continuous production, securing data integrity, and meeting compliance standards.

    relianoid.com/blog/importance-

  9. 🚀 Don't miss the R/Pharma Summit @ Posit Conf 2024 in Seattle!

    🗓️ Aug 11, 9a – 10a

    📢 Talk: Driving Consensus Through Repositories by Aaron Clark and Doug Kelkhof.

    Explore the future of R-pkg quality assessments through industry collaboration and regulatory insight!

    Register here:
    posit.co/blog/register-for-r-p

  10. 🚀 Don't miss the R/Pharma Summit @ Posit Conf 2024 in Seattle!

    🗓️ Aug 11, 9a – 10a

    📢 Talk: Driving Consensus Through Repositories by Aaron Clark and Doug Kelkhof.

    Explore the future of R-pkg quality assessments through industry collaboration and regulatory insight!

    Register here:
    posit.co/blog/register-for-r-p

    #register #RPharma2024 #PositConf #RStats #PharmaTech