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
#010 Centralized Monitoring: Risk-based Approach to Clinical Trial Processes
Jennifer Krohn of Gilead Sciences discusses centralized monitoring's risk-based approach, which transforms clinical trial oversight, improves data quality, and enhances participant safety, in an interview with Nat Chrzanowska.
5 Jun 2025
#009 GenAI in Clinical Reporting: Beyond the Buzz, Real Use Cases, and Future Directions
Vincent Shen, Senior Principal Data Scientist at Roche, discusses the implementation of generative AI tools in clinical data analysis, such as knowledge chatbots and coding assistants, in an interview with Nat Chrzanowska.
4 Jun 2025
#4 Pharma Brief: Generative AI Advances at FDA, Pharmaâs Autonomous Agents, and Open-Source Tools Spotlight
This episode highlights generative AI's expansion in pharmaceuticals, covering the FDA's AI tool rollout, autonomous agents in clinical operations, and open-source tools for enhanced R workflows.
22 May 2025
#008 Machine Learning Modeling in Neuroscience Clinical Trials Design
Jing Dai, Director of Biostatistics at Jazz Pharmaceuticals, discusses how machine learning enhances neuroscience clinical trial design and regulatory readiness in this interview.
8 May 2025
#007 How Open Source and Community Efforts Drive R-Based FDA Submissions
Ben Straub, Principal Programmer at GSK, discusses how open-source tools and community efforts accelerate R-based FDA submissions in this interview.
7 May 2025
#3 Pharma Brief: FDA's Animal Testing Phase-Out, AI in Clinical Development, and Open-Source News
Pharma Brief explores the FDA's move away from animal testing, AI's role in clinical development, and new open-source tools, offering insights into pharma's technological evolution.
24 Apr 2025
#006 Inside Novo Nordiskâs Path to Open Source for the Pharma and Beyond
Ari Siggaard Knoph from Novo Nordisk shares how the company transitioned to open-source R for FDA submissions, accelerating innovation and attracting talent in this interview.
10 Apr 2025
#005 Shinyâs Evolution: From Prototyping Tool to Critical Technology in Pharma
Host Eric Nantz explores Shiny's evolution from a prototyping tool to critical pharma technology, revealing its impact on clinical trials and the future of interactive data science.
2 Apr 2025
#2 Pharma Brief: AIâs Impact on Clinical Trials, Must-See Open Source Tools, and Upcoming Pharma Events
This episode explores AI's transformative impact on clinical trials and showcases essential open-source tools for pharmaceutical professionals.
27 Mar 2025
#004 Technology Transformation in Clinical Trial Analysis
Novartis experts Orla Doyle and James Black discuss how open-source technologies like R are transforming clinical trial analysis and attracting top talent.
20 Mar 2025
#1 Pharma Brief: J&J Moves to Open Source, AI-powered Data Extraction, and Top Clinical Trials for 2025
Pharma Brief delivers your monthly pulse on pharmaâs evolving landscape. Stay ahead with curated insights on FDA/EMA updates, AI-driven trends, and must-attend global events. We unpack breakthroughsâfrom novel drug approvals to open-source tools like R/Shinyâand arm you with actionable resources to in tech transformations in clinical trials. Whether itâs GxP compliance strategies or clinico-genomic advancements, weâre here to sharpen your expertise.
You can follow it on LinkedIn:Â https://www.linkedin.com/newsletters/pharma-brief-7300489155535380480/ (https://www.linkedin.com/newsletters/pharma-brief-7300489155535380480/)Â and now itâs available in the audio on all your favorite podcasting platforms.
Links from the episode:
The FDA draft guidance on AI: https://www.fda.gov/news-events/press-announcements/fda-proposes-framework-advance-credibility-ai-models-used-drug-and-biological-product-submissions (https://www.fda.gov/news-events/press-announcements/fda-proposes-framework-advance-credibility-ai-models-used-drug-and-biological-product-submissions)
AWS re:Invent Talk about Nateraâs AI-Powered Data Extraction:Â https://www.youtube.com/watch?v=csbfwFbg8zE (https://www.youtube.com/watch?v=csbfwFbg8zE)
2024 CDER Novel Drug Approvals:Â https://www.fda.gov/drugs/novel-drug-approvals-fda/novel-drug-approvals-2024 (https://www.fda.gov/drugs/novel-drug-approvals-fda/novel-drug-approvals-2024)
360i Kick off CDISC recording:Â https://www.cdisc.org/events/webinar/360i-program-kickoff-enabling-standards-driven-automation-study-design-through (https://www.cdisc.org/events/webinar/360i-program-kickoff-enabling-standards-driven-automation-study-design-through)
The 360i Program is a transformative initiative designed to automate the entire clinical research data lifecycle. You can watch the recording here (https://www.cdisc.org/events/webinar/360i-program-kickoff-enabling-standards-driven-automation-study-design-through) and the slide deck here (https://www.cdisc.org/sites/default/files/pdf/360i-Program-Kickoff20250218.pdf).
Top clinical trials for 2025:Â https://www.nature.com/articles/s41591-024-03383-y/tables/1 (https://www.nature.com/articles/s41591-024-03383-y/tables/1)
A new study on personalized cancer treatment:Â https://www.nature.com/articles/s41467-024-55251-5 (https://www.nature.com/articles/s41467-024-55251-5)
Generative Artificial Intelligence (AI) on AWS:Â https://aws.amazon.com/developer/generative-ai/?ref=dc&id=b2 (https://aws.amazon.com/developer/generative-ai/?ref=dc&id=b2)
You can now learn and build (https://aws.amazon.com/developer/generative-ai/?ref=dc&id=b2) AI applications with Amazon Bedrock, SageMaker, and more.
Johnson & Johnson's Open Source Journey with R in Clinical Trialsâ:Â https://www.youtube.com/watch?v=IloY1jiDD_Y (https://www.youtube.com/watch?v=IloY1jiDD_Y)
About Pharmaverse:Â https://pharmaverse.org/ (https://pharmaverse.org/)
Overview of CDISC standards and their role in supporting clinical research:Â https://www.cdisc.org/standards (https://www.cdisc.org/standards)
Recordings from the recent GxP Validation Summit:Â <a...
13 Mar 2025
#003 The Future of GxP Compliance in Pharma: R-based Submissions
#datascience #dataanalysis #GxP #PharmaTech #SoftwareValidation #FDARegulations #ClinicalTrials #LifeSciences #R #PharmaInnovation #TechInPharma
GxP compliance is shaping the future of pharmaceutical software engineering, yet many companies still struggle with implementation. In this episode, Appsilonâs co-founder, PaweÅ PrzytuÅa, unpacks GxP best practices, software validation, and how R-based submissions are gaining traction with regulatory bodies like the FDA. He also shares industry insights from Roche, Novo Nordisk, and GSK, explores emerging trends like AI in validation, and discusses how pharma companies can leverage open-source tools while ensuring compliance. Donât miss this deep dive into the intersection of software and life sciences!
In this episode, you will learn:
What is GxP in software engineering and why itâs critical for regulatory approval in life sciences
What GxP compliance means for pharma software
How leading pharma companies approach R-based submissions
What are the risks of ignoring GxP in software development
How AI, statistical computing environments (SCEs), and open-source innovations are transforming software validation in pharma
How to build a strong GxP-ready data science team
Guest: PaweÅ PrzytuÅa https://www.linkedin.com/in/pawelprzytula
Your host: Nat Chrzanowska https://www.linkedin.com/in/nat-chrzanowska/
__________________________________________
Mentioned resources:
Paper on R-based Submissions to the FDA: https://pharmasug.org/proceedings/2024/SS/PharmaSUG-2024-SS-344.pdf
Presentation on Novo Nordisk's Journey towards open source: https://phuse.s3.eu-central-1.amazonaws.com/Archive/2023/Connect/EU/Birmingham/PRE_TT12.pdf
GSK's R Journey to Open Source: https://www.youtube.com/watch?v=xDrt6txplek&ab_channel=PositPBC
Roche's End-to-End R Journey to Submission: https://www.youtube.com/watch?v=BlJNILSoZlM&ab_channel=PositPBC
__________________________________________
More about Appsilon:
⺠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
⺠https://www.appsilon.com/contact-us
__________________________________________
For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog:
⺠http://appsilon.com/blog
LinkedIn: https://www.linkedin.com/company/appsilon/
27 Feb 2025
#002 How NASA Chooses the Right Talent for Space Exploration
In this episode of Technology Meets Science, we welcome David Meza, Head of Analytics at NASAâs Human Capital Office. David shares how data science and AI are transforming talent management at NASA, ensuring the right individuals are matched with critical missions. From knowledge graphs to generative AI, he explains how NASA is leveraging technology to optimize workforce planning, upskilling, and recruitment. Tune in for insights on AI-driven talent analytics, the challenges of data accessibility, and what it takes to land a career at NASA.
In this episode, you will learn:
How NASA uses data science, analytics, knowledge graphs, and AI to align employees' skills and competencies with space mission roles
How NASA tackles cleaning and structuring workforce data
How AI models help to assess employee skills, identify gaps, and recommend training programs to upskill the workforce.
How open-source tech stack, including Python, R, SQL, Databricks, and knowledge graphs enable smarter decision-making
What it takes to work at NASA, from passion-driven careers to the importance of continuous learning
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More about Appsilon:
⺠https://www.appsilon.com/ (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqa0I2S3JBTjJ5M3A5M044cDlHTndkVkFIcmNpQXxBQ3Jtc0ttZWxSN2ZRcEQ4bVFTWnhaSE0zYVJfSW1EazR3QWJ2RkVySktaM1Nfazd5cDJGd1llU0szdkdRazVWb2FGYWRCV0d5bHJEQmtDQVdQSkpROV90dzNqelN5MlNRNWh2R1p5N0RlVDVqaVVvOEh2dzZFWQ&q=https%3A%2F%2Fwisegroup.pl%2F&v=Kr1aNPJVYT0)
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
⺠https://www.appsilon.com/contact-us (https://www.appsilon.com/contact-us)
__________________________________________
For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog:
âºÂ http://appsilon.com/blog (http://appsilon.com/blog)
LinkedIn: https://www.linkedin.com/company/appsilon/ (https://www.linkedin.com/company/appsilon/)
13 Feb 2025
#001 Why Clinical Trials Fail: Lessons from Two Decades in Pharma
Together with Eric Genevois-Marlin, former Head of Data Sciences in R&D and Biostatistics at Sanofi, we uncover the reasons behind clinical trial failures. Drawing from his 20+ years of experience leading science and technology teams in bringing new drugs to market, we'll examine real-world examples and extract lessons from both successes and failures.In this episode, you will learn:
What the risks are in clinical trials
The main causes of clinical trial failures
Examples of success stories
Lessons learned from clinical trials that go wrong
How to minimize the risks of failure
__________________________________________
More about Appsilon:
⺠https://www.appsilon.com/ (https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqa0I2S3JBTjJ5M3A5M044cDlHTndkVkFIcmNpQXxBQ3Jtc0ttZWxSN2ZRcEQ4bVFTWnhaSE0zYVJfSW1EazR3QWJ2RkVySktaM1Nfazd5cDJGd1llU0szdkdRazVWb2FGYWRCV0d5bHJEQmtDQVdQSkpROV90dzNqelN5MlNRNWh2R1p5N0RlVDVqaVVvOEh2dzZFWQ&q=https%3A%2F%2Fwisegroup.pl%2F&v=Kr1aNPJVYT0)
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
⺠https://www.appsilon.com/contact-us (https://www.appsilon.com/contact-us)
__________________________________________
For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog:
âºÂ http://appsilon.com/blog (http://appsilon.com/blog)
LinkedIn: https://www.linkedin.com/company/appsilon/ (https://www.linkedin.com/company/appsilon/)
7 Feb 2025
#000 Where Technology Meets Science by Appsilon Trailer
"Where Technology Meets Science" is a podcast series diving into the intersection of technology and life sciences. We bring together industry experts, innovators, and thought leaders to explore how advanced technologies are reshaping data science processes in biotechnology, biopharma, environmental sciences, genetics, and similar fields. Together with experts from companies like Roche, Novartis, NASA, and J&J, we uncover solutions that address complex challenges, accelerate research, and push beyond traditional scientific methods, offering listeners insights into the evolving landscape of scientific discovery.
Who has been a guest on ð€ð§¬ Where Technology Meets Science
Names identified in recent episode analyses. Showing up to five guests.
Jennifer Krohn
Vincent Shen
Jing Dai
Ben Straub
Ari Siggaard Knoph
Podcast Authority Score: 30 / 100
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