Where Technology Meets Science
Where Technology Meets Science
Podcast Description
Where Science Meets Technology by Appsilon is a series of interviews and discussions focused on how technology can accelerate data science processes, particularly within life sciences and biopharmaceutical companies.Each episode will explore various aspects of innovation and its potential to address challenges where traditional methods may fall short. We will feature internal experts from our delivery teams, along with clients and partners as guest speakers, providing valuable insights into the intersection of science and technology.The podcast is brought to you by Appsilon.Appsilon empowers Fortune 500 companies to leverage open-source technology for faster, data-driven decision-making in regulated environments
Podcast Insights
Content Themes
The podcast focuses on topics such as innovation in data science, the integration of AI and analytics in workforce management, and lessons learned from clinical trial failures. Episode examples include discussions with NASA's analytics leader on using AI for talent management and insights from a former biostatistics head on the common pitfalls in clinical trials.
Where Technology Meets ScienceWhere Science Meets Technology by Appsilon is a series of interviews and discussions focused on how technology can accelerate data science processes, particularly within life sciences and biopharmaceutical companies.
Each episode will explore various aspects of innovation and its potential to address challenges where traditional methods may fall short. We will feature internal experts from our delivery teams, along with clients and partners as guest speakers, providing valuable insights into the intersection of science and technology.
The podcast is brought to you by Appsilon.
Appsilon empowers Fortune 500 companies to leverage open-source technology for faster, data-driven decision-making in regulated environments
Where Technology Meets Science#datascience #dataanalysis #technology #pharmabrief #clinicaltrials #technologyinpharma #pharma #pharmanews
Pharma Brief is back with its third edition, packed with essential industry insights and the latest developments in pharma and biotech. This issue covers the FDA’s plan to phase out animal testing for monoclonal antibodies in favor of AI models and NAMs, insights from Stanford’s AI Index 2025 and McKinsey’s analysis of AI in clinical development, plus new tools like CDISC Dataset Generator, scMultiSim, open-source releases from Novo Nordisk and Genentech and more!
You can follow Pharma Brief on LinkedIn: https://www.linkedin.com/newsletters/pharma-brief-7300489155535380480/
And now it’s available in audio on all your favorite podcasting platforms.
Links from the episode:
- FDA’s New Plan for Phasing Out Animal Testing: https://www.fda.gov/news-events/press-announcements/fda-announces-plan-phase-out-animal-testing-requirement-monoclonal-antibodies-and-other-drugs
- Stanford’s AI Index Report 2025: https://hai-production.s3.amazonaws.com/files/hai_ai_index_report_2025.pdf
Summary & takeaways: https://hai.stanford.edu/ai-index/2025-ai-index-report - McKinsey & Company’s article on clinical development with AI & ML: https://www.mckinsey.com/industries/life-sciences/our-insights/unlocking-peak-operational-performance-in-clinical-development-with-artificial-intelligence
- CDISC Dataset Generator for Synthetic Data: https://cdiscdataset.com/
- scMultiSim for Omics Data Simulation: https://www.nature.com/articles/s41592-025-02651-0
- Revolutionising Participant Safety Monitoring with Advanced Solutions (Risk Based Quality Management PHUSE Working Group): https://phuse.s3.eu-central-1.amazonaws.com/Archive/2025/Webinar/Worldwide/Virtual/REC_CF12.mp4 Slides: https://phuse.s3.eu-central-1.amazonaws.com/Advance/Community+Forums+/Revolutionizing+Participant+Safety+Monitoring+with+Advanced+Solutions.pdf
- Clinical Data Analysis: Open Source in Pharma (Free eBook): https://hubs.li/Q03kf2Pk0
- FDA Pilots Session (ShinyGatherings): https://youtu.be/zZMGFq57wnE
Open-Source packages:
- Novo Nordisk’s {connector} Package: https://novonordisk-opensource.github.io/connector/
- Genentech’s BRAID Foundation Models: https://github.com/Genentech/BRAID
- bslib v0.9.0 is on CRAN: https://rstudio.github.io/bslib/news/index.html?_gl=1*125lu4v*_ga*NzczNzkyMTAxLjE3Mzc1NTYwMzA.*_ga_8QJS108GF1*MTc0NTkzMzIzMy4xLjAuMTc0NTkzMzIzOC4wLjAuMA..*_ga_2C0WZ1JHG0*MTc0NTkzMzIzMy45LjAuMTc0NTkzMzIzOC4wLjAuMA..#bslib-090
- Chores package: https://simonpcouch.github.io/chores/
Upcoming Events:
- Domino RevX Life Science Edition | 20 May 2025 | Philadelphia (PA), United States
- PHUSE Computational Science Symposium 2025 | 20-21 May 2025 | Utrecht, Netherlands
- ShinyGatherings x Pharmaverse: Presenting aNCA: From Idea to Clinical Impact | 27 May 2025 | Virtual
- PharmaSUG US Conference | 1-4 June 2025 | San Diego (CA), United States
- Veeva Summit | 4-5 June 2025 | Madrid, Spain
- PSI 2025 | 8-11 June 2025 | London, United Kingdom
- PHUSE Single Day Event | 11 June 2025 | Boston (MA), United States
Subscribe on LinkedIn: https://www.linkedin.com/newsletters/pharma-brief-7300489155535380480/
Nat Chrzanowska
https://www.linkedin.com/in/nat-chrzanowska/
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More about Appsilon: â–º https://www.appsilon.com/
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 â–º https://www.appsilon.com/contact-us
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For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog: â–º http://appsilon.com/blog
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