Pharma Brief: AI’s Impact on Clinical Trials, Must-See Open Source Tools, and Upcoming Pharma Events @appsilon_official
Pharma Brief: AI’s Impact on Clinical Trials, Must-See Open Source Tools, and Upcoming Pharma Events  @appsilon_official
Uploaded April 2025 | Updated September 2026, 2 weeks ago
#datascience #dataanalysis #technology #pharmabrief #clinicaltrials #technologyinpharma #pharma #pharmanews

Pharma Brief is back with the latest edition, packed with valuable insights and upcoming events you don’t want to miss. This month, we’re exploring AI’s impact on clinical development (trials could be 30% faster!), along with innovative tools that streamline processes. We’ve also highlighted open-source packages to optimize your workflows.
You can follow Pharma Brief on LinkedIn: linkedin.com/newsletters/pharma-brief-7300489155535380480
And now it’s available in audio on all your favorite podcasting platforms.

Links from the episode:
NVIDIA’s “State of AI in Healthcare and Life Sciences” Report: blogs.nvidia.com/blog/ai-healthcare-life-sciences-survey-2025
McKinsey & Company’s “Faster, Smarter Trials: Modernizing Biopharma’s R&D IT Applications”: mckinsey.com/industries/life-sciences/our-insights/faster-smarter-trials-modernizing-biopharmas-r-and-d-it-applications
NovoScribe by Novo Nordisk: mongodb.com/solutions/customer-case-studies/novo-nordisk
'Not a cost-cutting exercise': Novo Nordisk Chief Scientific Officer Marcus Schindler explains rationale behind pharma's R&D shake-up: fiercebiotech.com/biotech/not-cost-cutting-exercise-novo-nordisk-reshapes-rd-setup
Novartis joins the Pharmaverse Council: https://pharmaverse.github.io/blog/posts/2025-03-14_welcoming__.../welcoming__novartis_to_the__pharmaverse__council!.html
Johnson & Johnson's Open Source Journey with R in Clinical Trials | Webinar | Posit
youtube.com/live/_bqeYh2kNgY
Why Clinical Trials Fail | Where Technology Meets Science Podcast | Appsilon
youtu.be/UXfUUA1vo4I

Open-Source packages:
mall: mlverse.github.io/mall
querychat: github.com/posit-dev/querychat
multideploy: r-pkg.thecoatlessprofessor.com/multideploy
chatlas: posit.co/blog/announcing-chatlas
nipals: github.com/johnsonandjohnson/open_nipals

Events:
Real World Data Spring Event 2025 | 9–10 April 2025 | Virtual
ShinyConf 2025: Life Sciences/Pharma track | 9-11 April, 2025 | Virtual
PHUSE Risk Based Quality Management Working Group Webinar “Revolutionising Participant Safety Monitoring with Advanced Solutions” | 23 April, 2025 | Virtual
Shiny Gathering: FDA Pilots: Key Insights, Lessons Learned, and What’s Next for 2025 | 29 April, 2025 | Virtual
PHUSE Single Day Event | 2 May, 2025 | Yerevan, Armenia
PHUSE Single Day Event | 9 May, 2025 | Denver (CO), United States
PHUSE Single Day Event | 9 May, 2025 | Beijing, China

Open Call for Papers:
R/Medicine 2025 rconsortium.github.io/RMedicine_website/Abstracts.html
Deadline: Friday, 11 April
PHUSE EU phuse-events.org/attend/frontend/reg/tOtherPage.csp?pageID=47086&ef_sel_menu=4278&eventID=74
Deadline: Friday, 25 April

Subscribe on LinkedIn: linkedin.com/newsletters/pharma-brief-7300489155535380480

Nat Chrzanowska
linkedin.com/in/nat-chrzanowska
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Appsilon empowers pharmaceutical and life sciences companies to leverage open-source technology for faster, data-driven decision-making in regulated environments. Schedule a free consultation with our expert
appsilon.com/contact-us
We design scalable and user-friendly Shiny dashboards to help you make data-driven decisions.
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We design and implement Statistical Computing Environment for R and Python for efficient data analysis:
appsilon.com/services/sce
We design, implement, and optimise data analysis environments so you can focus focus on insights and innovation.
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Where Technology Meets Science podcast is available on all podcasting platforms:
► Spotify: open.spotify.com/show/6MckhYFZCwGU4Op6P09foR
► Apple Podcasts: apple.co/3CJDdVy
__________________________________________
For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog:
appsilon.com/blog
LinkedIn: linkedin.com/company/appsilon
Pharma Brief: AI’s Impact on Clinical Trials, Must-See Open Source Tools, and Upcoming Pharma EventsWorkshop: Cypress Testing Masterclass - Let the Bots Test While You Rest | ShinyConf 2024Everyone Needs a Shiny App Planning Document | ShinyConf 2024The Impact of Test Automation in Pharma for GxP ValidationColin Fay, Keynote: Production is like ultra running: brutal, ungrateful, but worth every stepUsing Shiny in a climate-smart agriculture grant program | ShinyConf 2024{litter}; dynamic inputs for Shiny | ShinyConf 2024From SAS to Open Source: How to Build an AI-Ready Clinical ADaM PipelineUntangling Biology: The Power of Data Analysis Pipeline with Aga RasinskaWorkshop: Transferring your R Shiny skills to Python | ShinyConf 2025Watch our #proofofconcept with BMC! #lifescience #machinelearning #clinicians #dataanalysisTan Ho:  DIY Pest Control: Effectively Debugging Shiny Apps
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Pharma Brief: AI’s Impact on Clinical Trials, Must-See Open Source Tools, and Upcoming Pharma Events

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