• 🤖🧬 Where Technology Meets Science

  • By: Appsilon
  • Podcast

🤖🧬 Where Technology Meets Science

By: Appsilon
Listen for free

  • Summary

  • 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
    Appsilon
    Show More Show Less
Biological Sciences Hygiene & Healthy Living Physical Illness & Disease Science
Show More Show Less
Episodes
  • #003 The Future of GxP Compliance in Pharma: R-based Submissions

    #003 The Future of GxP Compliance in Pharma: R-based Submissions
    Mar 13 2025
    #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, Appsilon’s co-founder, Paweł Przytuła, 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. Don’t 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 it’s 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: Paweł Przytuła 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:
    ► 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
    ► 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:
    ► http://appsilon.com/blog
    LinkedIn: https://www.linkedin.com/company/appsilon/
    Show More Show Less
    34 mins
  • How NASA Chooses the Right Talent for Space Exploration

    How NASA Chooses the Right Talent for Space Exploration
    Feb 27 2025
    In this episode of Technology Meets Science, we welcome David Meza, Head of Analytics at NASA’s 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
    __________________________________________

    More about Appsilon:
    ► 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
    ► 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:
    ► http://appsilon.com/blog
    LinkedIn: https://www.linkedin.com/company/appsilon/
    Show More Show Less
    27 mins
  • #001 Why Clinical Trials Fail: Lessons from Two Decades in Pharma

    #001 Why Clinical Trials Fail: Lessons from Two Decades in Pharma
    Feb 13 2025
    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:
    ► 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
    ► 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:
    ► http://appsilon.com/blog
    LinkedIn: https://www.linkedin.com/company/appsilon/
    Show More Show Less
    33 mins

What listeners say about 🤖🧬 Where Technology Meets Science

Average Customer Ratings

Reviews - Please select the tabs below to change the source of reviews.

Audible.com.au reviews

Amazon Reviews
No Reviews are Available
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.