🤖🧬 Where Technology Meets Science Podcast Por Appsilon arte de portada

🤖🧬 Where Technology Meets Science

🤖🧬 Where Technology Meets Science

De: Appsilon
Escúchala gratis

Acerca de esta escucha

 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 environmentsAppsilon Ciencia Ciencias Biológicas Enfermedades Físicas Hygiene & Healthy Living
Episodios
  • #008 Machine Learning Modeling in Neuroscience Clinical Trials Design

    #008 Machine Learning Modeling in Neuroscience Clinical Trials Design
    May 22 2025
    #datascience #dataanalysis #technology #machinelearning #clinicaltrials #placebo

    In this episode, Jing Dai, Director of Biostatistics at Jazz Pharmaceuticals, shares insights from the PHUSE US Connect conference and her work on applying machine learning to neuroscience clinical trials. She discusses challenges like high placebo response and attrition, the value of interdisciplinary collaboration, and how AI/ML can shape trial design, improve regulatory readiness, and move the field toward more objective, data-driven outcomes.
    In this episode, you will learn:
    • How machine learning can help address high placebo response and attrition in neuroscience clinical trials.
    • Why traditional statistical models struggle with high-dimensional clinical data.
    • Key regulatory frameworks (GxP, GMLP) for ensuring AI/ML models meet compliance standards in drug development.
    • Practical tips for fostering interdisciplinary collaboration between biostatisticians, clinicians, and data scientists.
    Nat Chrzanowska https://www.linkedin.com/in/nat-chrzanowska/
    Jing Dai https://www.linkedin.com/in/jingdai1009/
    __________________________________________

    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/
    Más Menos
    34 m
  • #007 How Open Source and Community Efforts Drive R-Based FDA Submissions

    #007 How Open Source and Community Efforts Drive R-Based FDA Submissions
    May 8 2025
    #datascience #dataanalysis #technology #datascience #opensource #pharmaverse #pharma #dataanalysis #clinicaltrials

    In this episode, Ben Straub, Principal Programmer at GSK, explores the shift from proprietary software to open source tools in the pharmaceutical industry. He shares insights into regulatory challenges, the rise of R, and the impact of {admiral} and other open-source packages on clinical data analysis and submissions. From pilot programs to enterprise-wide adoption, learn why collaboration is key to reducing risk and shaping the future of regulatory workflows.

    In this episode, you will learn:
    • Lessons learned from GSK’s open source adoption journey,
    • How collaboration via pharmaverse, PHUSE, and R Consortium accelerates regulatory submissions
    • How {admiral} package for ADaM datasets was one of the triggers for widespread open source adoption in pharma
    • Why R is a dominant language in pharma
    • What are the next milestones to modernize outdated regulatory standards
    Webinar about GSK's R Journey: From Pilot Projects to Enterprise Adoption: https://www.youtube.com/watch?v=xDrt6txplek
    Admiral package: https://pharmaverse.github.io/admiral/ __________________________________________
    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/
    Más Menos
    35 m
  • #3 Pharma Brief: FDA's Animal Testing Phase-Out, AI in Clinical Development, and Open-Source News

    #3 Pharma Brief: FDA's Animal Testing Phase-Out, AI in Clinical Development, and Open-Source News
    May 7 2025
    #datascience #dataanalysis #technology #pharmabrief #clinicaltrials #technologyinpharma #pharma #pharmanewsPharma 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-drugsStanford’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-reportMcKinsey & 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-intelligenceCDISC Dataset Generator for Synthetic Data: https://cdiscdataset.com/scMultiSim for Omics Data Simulation: https://www.nature.com/articles/s41592-025-02651-0Revolutionising 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/Q03kf2Pk0FDA Pilots Session (ShinyGatherings): https://youtu.be/zZMGFq57wnEOpen-Source packages:Novo Nordisk’s {connector} Package: https://novonordisk-opensource.github.io/connector/Genentech’s BRAID Foundation Models: https://github.com/Genentech/BRAIDbslib 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-090Chores package: https://simonpcouch.github.io/chores/ Upcoming Events:Domino RevX Life Science Edition | 20 May 2025 | Philadelphia (PA), United StatesPHUSE Computational Science Symposium 2025 | 20-21 May 2025 | Utrecht, NetherlandsShinyGatherings x Pharmaverse: Presenting aNCA: From Idea to Clinical Impact | 27 May 2025 | VirtualPharmaSUG US Conference | 1-4 June 2025 | San Diego (CA), United StatesVeeva Summit | 4-5 June 2025 | Madrid, SpainPSI 2025 | 8-11 June 2025 | London, United KingdomPHUSE Single Day Event | 11 June 2025 | Boston (MA), United StatesSubscribe on LinkedIn: https://www.linkedin.com/newsletters/pharma-brief-7300489155535380480/ Nat Chrzanowska https://www.linkedin.com/in/nat-chrzanowska/ __________________________________________ 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/
    Más Menos
    6 m
adbl_web_global_use_to_activate_T1_webcro805_stickypopup
Todavía no hay opiniones