🤖🧬 Where Technology Meets Science

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🤖🧬 Where Technology Meets Science

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

Episodes

  1. #1 Pharma Brief: J&J Moves to Open Source, AI-powered Data Extraction, and Top Clinical Trials for 2025

    3D AGO

    #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 pharma’s evolving landscape. Stay ahead with curated insights on FDA/EMA updates, AI-driven trends, and must-attend global events. We unpack breakthroughs—from novel drug approvals to open-source tools like R/Shiny—and arm you with actionable resources to in tech transformations in clinical trials. Whether it’s GxP compliance strategies or clinico-genomic advancements, we’re here to sharpen your expertise. You can follow it on LinkedIn: https://www.linkedin.com/newsletters/pharma-brief-7300489155535380480/  and now it’s 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 Links from the episode:The FDA draft guidance on AI: https://www.fda.gov/news-events/press-announcements/fda-proposes-framework-advance-credibility-ai-models-used-drug-and-biological-product-submissionsAWS re:Invent Talk about Natera’s AI-Powered Data Extraction: https://www.youtube.com/watch?v=csbfwFbg8zE2024 CDER Novel Drug Approvals: https://www.fda.gov/drugs/novel-drug-approvals-fda/novel-drug-approvals-2024360i Kick off CDISC recording: https://www.cdisc.org/events/webinar/360i-program-kickoff-enabling-standards-driven-automation-study-design-throughThe 360i Program is a transformative initiative designed to automate the entire clinical research data lifecycle. You can watch the recording here and the slide deck here.Top clinical trials for 2025: https://www.nature.com/articles/s41591-024-03383-y/tables/1A new study on personalized cancer treatment: https://www.nature.com/articles/s41467-024-55251-5Generative Artificial Intelligence (AI) on AWS: https://aws.amazon.com/developer/generative-ai/?ref=dc&id=b2You can now learn and build AI applications with Amazon Bedrock, SageMaker, and more.Johnson & Johnson's Open Source Journey with R in Clinical Trials”: https://www.youtube.com/watch?v=IloY1jiDD_YAbout Pharmaverse: https://pharmaverse.org/Overview of CDISC standards and their role in supporting clinical research: https://www.cdisc.org/standardsRecordings from the recent GxP Validation Summit: a...

    6 min
  2. #003 The Future of GxP Compliance in Pharma: R-based Submissions

    MAR 13

    #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, 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/

    34 min
  3. #002 How NASA Chooses the Right Talent for Space Exploration

    FEB 27

    #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 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 rolesHow NASA tackles cleaning and structuring workforce dataHow 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-makingWhat 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/

    27 min
  4. #001 Why Clinical Trials Fail: Lessons from Two Decades in Pharma

    FEB 13

    #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 trialsThe main causes of clinical trial failuresExamples of success storiesLessons learned from clinical trials that go wrongHow 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/

    33 min

  5. FEB 7

    #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.

    1 min
  • 5 Episodes

About

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

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