🤖🧬 Where Technology Meets Sciencehttp://appsilon.com
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]]>enTechnologyAppsilonhttps://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/f64367023d483cbe274e4103605240b4.jpg🤖🧬 Where Technology Meets Sciencehttp://appsilon.comSun, 27 Jul 2025 09:36:31 +0000AppsilonAppsilonpodcast@appsilon.comWhere 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...
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]]>falseepisodic#010 Centralized Monitoring: Risk-based Approach to Clinical Trial Processeshttps://www.spreaker.com/episode/010-centralized-monitoring-risk-based-approach-to-clinical-trial-processes--66594835
In this episode, Jennifer Krohn, Associate Director of Risk-Based Quality Management at Gilead Sciences, shares how centralized monitoring is transforming clinical trial oversight, improving data quality, participant safety, and trial efficiency. From statistical tools and open-source innovation to CRA training and AI advancements, Jenn shares what it takes to detect critical data signals earlier, ensure trial integrity, and foster cross-functional collaboration in pharma through the open-source community.

Materials shared in the episode:
PHUSE RBQM Working GroupRBQM Education Project
PHUSE CM White Papers:
Jennifer Krohn
https://www.linkedin.com/in/jenn-krohn/ 
Nat Chrzanowskahttps://www.linkedin.com/in/nat-chrzanowska/ 
__________________________________________
More about Appsilon:
â–ş 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–ş 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/]]>https://api.spreaker.com/episode/66594835Fri, 20 Jun 2025 12:00:08 +0000Appsilon#datascience #centralizedmonitoring #clinicaltrials #technologyinpharma #pharmatransformation In this episode, Jennifer Krohn, Associate Director of Risk-Based Quality Management at Gilead Sciences, shares how centralized monitoring is transforming...
In this episode, Jennifer Krohn, Associate Director of Risk-Based Quality Management at Gilead Sciences, shares how centralized monitoring is transforming clinical trial oversight, improving data quality, participant safety, and trial efficiency. From statistical tools and open-source innovation to CRA training and AI advancements, Jenn shares what it takes to detect critical data signals earlier, ensure trial integrity, and foster cross-functional collaboration in pharma through the open-source community.

Materials shared in the episode:
PHUSE RBQM Working GroupRBQM Education Project
PHUSE CM White Papers:
Jennifer Krohn
https://www.linkedin.com/in/jenn-krohn/ 
Nat Chrzanowskahttps://www.linkedin.com/in/nat-chrzanowska/ 
__________________________________________
More about Appsilon:
â–ş 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–ş 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/]]>2489centralizedmonitoring,clinicaltrials,datascience,digitaladoption,digitaltransformation,pharma,pharmatechfalse110full#009 GenAI in Clinical Reporting: Beyond the Buzz, Real Use Cases, and Future Directionshttps://www.spreaker.com/episode/009-genai-in-clinical-reporting-beyond-the-buzz-real-use-cases-and-future-directions--66393850
In this episode, we speak with Vincent Shen, Senior Principal Data Scientist at Roche, about the actual impact of generative AI in clinical data analysis. Vincent shares insights from his work implementing AI-powered tools, such as knowledge chatbots and coding assistants, that support clinical reporting at Roche. We discuss the evolving role of AI, the challenges of integrating it into clinical trial workflows, and the importance of rethinking the processes to  ensure effective AI use.In this episode:
  • AI will augment rather than replace data scientists in clinical trial workflows.
  • Roche has successfully deployed a GenAI-powered knowledge bot, saving an estimated 25 hours per 100 questions.
  • Coding assistants help data science teams accelerate time-to-insight.
  • Providing detailed specifications is essential for AI to deliver accurate and meaningful results.
  • Training AI models requires extra effort to ensure they correctly interpret context and domain-specific requirements.
  • The next big step is to rethink how processes are designed, not just automate existing ones.
Vincent Shen
https://www.linkedin.com/in/vincent-shen-vs/ 
Nat Chrzanowska
https://www.linkedin.com/in/nat-chrzanowska/ 
__________________________________________
More about Appsilon:
â–ş 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 

We design scalable and user-friendly Shiny dashboards to help you make data-driven decisions.
► https://www.appsilon.com/services/data-dashboards 
We design and implement Statistical Computing Environment for R and Python for efficient data analysis. â–ş https://www.appsilon.com/services/sce
We design, implement, and optimise data analysis environments so you can focus focus on insights and innovation. â–ş https://www.appsilon.com/services/platform

Where Technology Meets Science podcast is available on all podcasting platforms:
► Spotify: https://hubs.li/Q037KddD0 
► Apple Podcasts: https://hubs.li/Q037KlLl0 
► YouTube: https://hubs.li/Q037Kpth0
__________________________________________

For more insights about how technology helps scientists push the boundaries of data analysis and reporting check out our blog â–ş http://appsilon.com/blog
LinkedIn: https://www.linkedin.com/company/appsilon/ ]]>https://api.spreaker.com/episode/66393850Thu, 05 Jun 2025 12:00:08 +0000Appsilon#datascience #genAI #clinicaltrials #clinicalreporting #AIinpharma #GenerativeAI #Roche #AIautomation #pharmaceuticalindustry #AIchallenges #AIbot #chatbots #copilot #codingassistant In this episode, we speak with Vincent Shen, Senior Principal Data...
In this episode, we speak with Vincent Shen, Senior Principal Data Scientist at Roche, about the actual impact of generative AI in clinical data analysis. Vincent shares insights from his work implementing AI-powered tools, such as knowledge chatbots and coding assistants, that support clinical reporting at Roche. We discuss the evolving role of AI, the challenges of integrating it into clinical trial workflows, and the importance of rethinking the processes to  ensure effective AI use.In this episode:
  • AI will augment rather than replace data scientists in clinical trial workflows.
  • Roche has successfully deployed a GenAI-powered knowledge bot, saving an estimated 25 hours per 100 questions.
  • Coding assistants help data science teams accelerate time-to-insight.
  • Providing detailed specifications is essential for AI to deliver accurate and meaningful results.
  • Training AI models requires extra effort to ensure they correctly interpret context and domain-specific requirements.
  • The next big step is to rethink how processes are designed, not just automate existing ones.
Vincent Shen
https://www.linkedin.com/in/vincent-shen-vs/ 
Nat Chrzanowska
https://www.linkedin.com/in/nat-chrzanowska/ 
__________________________________________
More about Appsilon:
â–ş 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 

We design scalable and user-friendly Shiny dashboards to help you make data-driven decisions.
► https://www.appsilon.com/services/data-dashboards 
We design and implement Statistical Computing Environment for R and Python for efficient data analysis. â–ş https://www.appsilon.com/services/sce
We design, implement, and optimise data analysis environments so you can focus focus on insights and innovation. â–ş https://www.appsilon.com/services/platform

Where Technology Meets Science podcast is available on all podcasting platforms:
► Spotify: https://hubs.li/Q037KddD0 
► Apple Podcasts: https://hubs.li/Q037KlLl0 
► YouTube: 2147aiautomation,aibot,aichallenges,aiinpharma,chatbots,clinicalreporting,clinicaltrials,codingassistant,copilot,datascience,genai,generativeai,pharmaceuticalindustry,rochefalse111full#4 Pharma Brief: Generative AI Advances at FDA, Pharma’s Autonomous Agents, and Open-Source Tools Spotlighthttps://www.spreaker.com/episode/4-pharma-brief-generative-ai-advances-at-fda-pharma-s-autonomous-agents-and-open-source-tools-spotlight--66394114#datascience #dataanalysis #technology #pharmabrief #clinicaltrials #technologyinpharma #pharma #pharmanews

Pharma Brief’s fourth edition spotlights generative AI’s rapid expansion across pharma and regulatory landscapes. This issue covers the FDA’s planned rollout of generative AI tools across all centers, including the launch of Elsa to streamline reviews and inspections. We explore Anthropic’s Model Context Protocol as a new standard for context-aware AI, plus pharma’s growing use of autonomous agents in clinical operations and medical writing, with insights from BCG’s latest report.Benchling’s integration of Claude into biotech R&D workflows highlights significant time savings and smarter data management. Catch a recap of the AWS Life Sciences Symposium keynote and FDA’s public call for comments on the CDISC Dataset-JSON standard, which could reshape study data exchange.Open-source tools like {mergen}, {kuzco}, and {cheetahR} are featured to empower your R workflows with AI, computer vision, and blazing-fast data rendering.

You can follow Pharma Brief on LinkedIn: https://www.linkedin.com/newsletters/pharma-brief-7300489155535380480/
Now also available in audio on your favorite podcast platforms.

Links from the episode:
FDA’s Generative AI Rollout: https://www.fda.gov/news-events/press-announcements/fda-announces-completion-first-ai-assisted-scientific-review-pilot-and-aggressive-agency-wide-aiBCG
Report on AI Agents in Pharma: https://www.linkedin.com/posts/bcg-platinion_ai-agents-and-the-model-context-protocol-activity-7330864988070309891-zhCZ
Benchling + Claude Integration: https://www.anthropic.com/customers/benchling
AWS Life Sciences Symposium 2025 & Keynote: https://aws.amazon.com/blogs/industries/7th-annual-aws-life-sciences-symposium/
https://www.youtube.com/watch?v=3hohXZF_3ys 
FDA Request for Comments on CDISC Dataset-JSON: https://www.federalregister.gov/documents/2025/04/09/2025-06051/electronic-study-data-submission-data-standards-clinical-data-interchange-standards-consortium

Open Source Highlights:
{muttest} https://github.com/jakubsob/muttest
{mergen} 

https://bioinformatics.mdc-berlin.de/mergen/
gptstudio & gpttools https://github.com/MichelNivard/gptstudio
{kuzco} 
https://github.com/frankiethull/kuzco
{cheetahR} https://github.com/cynkra/cheetahR

Upcoming Events:
  • AI and SaMD in Healthcare Webinar | 18 June 2025 | Virtual
  • PHUSE Single Day Event | 21 June 2025 | Hyderabad, India
  • COSA Spotlight Q2 2025 | 24 June 2025 | Virtual
  • Value-Driven Clinical Data Review Webinar | 26 June 2025 | Virtual
  • PSI/PHUSE Change Management Event | 3 July 2025 | Cambridge, UK
  • PSI Webinar on iRISE Consortium Results | 24 July 2025 | Virtual


Open Call for Papers:
R/Pharma 2025 https://sessionize.com/rpharma-2025

Subscribe on LinkedIn: https://www.linkedin.com/newsletters/pharma-brief-7300489155535380480/ 

Nat Chrzanowska https://www.linkedin.com/in/nat-chrzanowska/ __________________________________________
More about Appsilon: â–ş 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/ ]]>https://api.spreaker.com/episode/66394114Wed, 04 Jun 2025 11:39:06 +0000Appsilon#datascience #dataanalysis #technology #pharmabrief #clinicaltrials #technologyinpharma #pharma #pharmanews Pharma Brief’s fourth edition spotlights generative AI’s rapid expansion across pharma and regulatory landscapes. This issue covers the FDA’s...#datascience #dataanalysis #technology #pharmabrief #clinicaltrials #technologyinpharma #pharma #pharmanews

Pharma Brief’s fourth edition spotlights generative AI’s rapid expansion across pharma and regulatory landscapes. This issue covers the FDA’s planned rollout of generative AI tools across all centers, including the launch of Elsa to streamline reviews and inspections. We explore Anthropic’s Model Context Protocol as a new standard for context-aware AI, plus pharma’s growing use of autonomous agents in clinical operations and medical writing, with insights from BCG’s latest report.Benchling’s integration of Claude into biotech R&D workflows highlights significant time savings and smarter data management. Catch a recap of the AWS Life Sciences Symposium keynote and FDA’s public call for comments on the CDISC Dataset-JSON standard, which could reshape study data exchange.Open-source tools like {mergen}, {kuzco}, and {cheetahR} are featured to empower your R workflows with AI, computer vision, and blazing-fast data rendering.

You can follow Pharma Brief on LinkedIn: https://www.linkedin.com/newsletters/pharma-brief-7300489155535380480/
Now also available in audio on your favorite podcast platforms.

Links from the episode:
FDA’s Generative AI Rollout: https://www.fda.gov/news-events/press-announcements/fda-announces-completion-first-ai-assisted-scientific-review-pilot-and-aggressive-agency-wide-aiBCG
Report on AI Agents in Pharma: https://www.linkedin.com/posts/bcg-platinion_ai-agents-and-the-model-context-protocol-activity-7330864988070309891-zhCZ
Benchling + Claude Integration: https://www.anthropic.com/customers/benchling
AWS Life Sciences Symposium 2025 & Keynote: https://aws.amazon.com/blogs/industries/7th-annual-aws-life-sciences-symposium/
https://www.youtube.com/watch?v=3hohXZF_3ys 
FDA Request for Comments on CDISC Dataset-JSON: https://www.federalregister.gov/documents/2025/04/09/2025-06051/electronic-study-data-submission-data-standards-clinical-data-interchange-standards-consortium

Open Source Highlights:
{muttest} https://github.com/jakubsob/muttest
{mergen} 

https://bioinformatics.mdc-berlin.de/mergen/
gptstudio & gpttools https://github.com/MichelNivard/gptstudio
{kuzco} 
https://github.com/frankiethull/kuzco
{cheetahR} 24full#008 Machine Learning Modeling in Neuroscience Clinical Trials Designhttps://www.spreaker.com/episode/008-machine-learning-modeling-in-neuroscience-clinical-trials-design--66182592#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: â–ş 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/ ]]>https://api.spreaker.com/episode/66182592Thu, 22 May 2025 12:00:08 +0000Appsilon#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...#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: â–ş 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/ ]]>2043aipharma,clinicaldataanalysis,clinicaltrials,data,dataanalytics,datascience,machinelearning,machinelearningclinicaltrials,placebo,techinpharma,technologyfalse18full#007 How Open Source and Community Efforts Drive R-Based FDA Submissionshttps://www.spreaker.com/episode/007-how-open-source-and-community-efforts-drive-r-based-fda-submissions--65678060#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:
â–ş 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/ ]]>https://api.spreaker.com/episode/65678060Thu, 08 May 2025 12:00:08 +0000Appsilon#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...#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:
â–ş 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/ ]]>2120clinicaldataanalysis,clinicalprogramming,clinicaltrials,datascience,drugdevelopment,fdasubmissions,gsk,opensource,opensourcepharma,pharma,pharmatech,sastor,statisticalprogrammingfalse17full#3 Pharma Brief: FDA's Animal Testing Phase-Out, AI in Clinical Development, and Open-Source Newshttps://www.spreaker.com/episode/3-pharma-brief-fda-s-animal-testing-phase-out-ai-in-clinical-development-and-open-source-news--65970311
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:
Open-Source packages:
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/
__________________________________________

More about Appsilon: â–ş 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/]]>https://api.spreaker.com/episode/65970311Wed, 07 May 2025 12:02:20 +0000Appsilon#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...
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:
Open-Source packages:
  • Novo Nordisk’s {connector} Package: https://novonordisk-opensource.github.io/connector/
  • Genentech’s BRAID Foundation Models: 23full#006 Inside Novo Nordisk’s Path to Open Source for the Pharma and Beyondhttps://www.spreaker.com/episode/006-inside-novo-nordisk-s-path-to-open-source-for-the-pharma-and-beyond--65677979
    In this episode, you will learn:
    • How Novo Nordisk transitioned from legacy systems to R for regulatory submissions
    • How Shiny applications became the catalyst for internal buy-in
    • How open-source adoption has broadened the company’s talent pool and improved productivity
    • Future directions in pharma tech
    __________________________________________
    More about Appsilon:
    â–ş     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 
    __________________________________________
    or 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/]]>https://api.spreaker.com/episode/65677979Thu, 24 Apr 2025 12:00:07 +0000AppsilonAri Siggaard Knoph from Novo Nordisk shares how the company transitioned from SAS to R for FDA submissions. From early Shiny apps to full-scale open-source workflows, learn how this shift accelerated innovation, attracted top talent, and redefined...
    In this episode, you will learn:
    • How Novo Nordisk transitioned from legacy systems to R for regulatory submissions
    • How Shiny applications became the catalyst for internal buy-in
    • How open-source adoption has broadened the company’s talent pool and improved productivity
    • Future directions in pharma tech
    __________________________________________
    More about Appsilon:
    â–ş 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 
    __________________________________________
    or 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/]]>    1933clinicaldata,dataanalysis,datascience,fdasubmissions,opensource,pharmatech,sastor,technologyinpharmafalse16full#005 Shiny’s Evolution: From Prototyping Tool to Critical Technology in Pharmahttps://www.spreaker.com/episode/005-shiny-s-evolution-from-prototyping-tool-to-critical-technology-in-pharma--65474674#datascience #dataanalysis #technology #clinicaltrials #rshiny #shinyforpython #pharmatech

    Shiny paved the way for R users to create interactive, production-ready applications without switching stacks. In this episode, Eric Nantz reflects on Shiny’s origins, its "lazy by design" reactivity model, and how the ecosystem matured. We dive into how Shiny for Python expands this power to new audiences, and how Shiny is becoming key to modern clinical trial workflows. Eric shares real-world examples, user reactions, and the future of interactive data science.

    In this episode, you will learn:
    • How Shiny became a game changer for people working with R
    • How the framework evolved from a simple prototyping tool to a critical asset in life sciences
    • How open source is surpassing proprietary software
    • The future of Shiny in drug development
    Links for the episode:__________________________________________
    More about Appsilon: â–ş 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–ş 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/]]>    https://api.spreaker.com/episode/65474674Thu, 10 Apr 2025 12:00:08 +0000Appsilon#datascience #dataanalysis #technology #clinicaltrials #rshiny #shinyforpython #pharmatech Shiny paved the way for R users to create interactive, production-ready applications without switching stacks. In this episode, Eric Nantz reflects on Shiny’s...#datascience #dataanalysis #technology #clinicaltrials #rshiny #shinyforpython #pharmatech

    Shiny paved the way for R users to create interactive, production-ready applications without switching stacks. In this episode, Eric Nantz reflects on Shiny’s origins, its "lazy by design" reactivity model, and how the ecosystem matured. We dive into how Shiny for Python expands this power to new audiences, and how Shiny is becoming key to modern clinical trial workflows. Eric shares real-world examples, user reactions, and the future of interactive data science.

    In this episode, you will learn:
    • How Shiny became a game changer for people working with R
    • How the framework evolved from a simple prototyping tool to a critical asset in life sciences
    • How open source is surpassing proprietary software
    • The future of Shiny in drug development
    Links for the episode:__________________________________________
    More about Appsilon: â–ş 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–ş 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:    2143dataanalysis,datascience,opensource,pharma,rinpharama,rlanguage,rshiny,shiny,shinyevolution,shinyforpython,statisticalprogrammingfalse15full    #2 Pharma Brief: AI’s Impact on Clinical Trials, Must-See Open Source Tools, and Upcoming Pharma Eventshttps://www.spreaker.com/episode/2-pharma-brief-ai-s-impact-on-clinical-trials-must-see-open-source-tools-and-upcoming-pharma-events--65257122
    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:Open-Source packages:
    mall: https://mlverse.github.io/mall/querychat: https://github.com/posit-dev/querychat
    multideploy: https://r-pkg.thecoatlessprofessor.com/multideploy/chatlas: https://posit.co/blog/announcing-chatlas/
    nipals: https://github.com/johnsonandjohnson/open_nipals

    Events:
    Real World Data Spring Event 2025  |  9–10 April 2025  |  Virtual
    ShinyConf 2025: Life Sciences/Pharma track  |  9-11 April, 2025  |  Virtual
    PHUSE Risk Based Quality Management Working Group Webinar “Revolutionising Participant Safety Monitoring with Advanced Solutions”  |  23 April, 2025  |   Virtual
    Shiny Gathering: FDA Pilots: Key Insights, Lessons Learned, and What’s Next for 2025  |  29 April, 2025  |   Virtual
    PHUSE Single Day Event  |   2 May, 2025  |   Yerevan, Armenia
    PHUSE Single Day Event   |   9 May, 2025  |   Denver (CO), United States
    PHUSE Single Day Event   |    9 May, 2025  |   Beijing, China

    Open Call for Papers:
    Subscribe on LinkedIn: https://www.linkedin.com/newsletters/pharma-brief-7300489155535380480/ 
    Nat Chrzanowska
    https://www.linkedin.com/in/nat-chrzanowska/ _________________________________________
    More about Appsilon: â–ş 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/ ]]>    https://api.spreaker.com/episode/65257122Wed, 02 Apr 2025 12:00:10 +0000AppsilonPharma Brief is back with the latest edition, packed with valuable insights and upcoming events you don’t want to miss. This month, we’re exploring AI’s impact on clinical development (trials could be 30% faster!), along with innovative tools that...
    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:Open-Source packages:
    mall: https://mlverse.github.io/mall/querychat: https://github.com/posit-dev/querychat
    multideploy: https://r-pkg.thecoatlessprofessor.com/multideploy/chatlas: https://posit.co/blog/announcing-chatlas/
    nipals: https://github.com/johnsonandjohnson/open_nipals

    Events:
    Real World Data Spring Event 2025  |  9–10 April 2025  |  Virtual
    ShinyConf 2025: Life Sciences/Pharma track  |  9-11 April, 2025  |  Virtual
    PHUSE Risk Based Quality Management Working Group Webinar “Revolutionising Participant Safety Monitoring with Advanced Solutions”  |  23 April, 2025  |   Virtual
    Shiny Gathering: FDA Pilots: Key Insights, Lessons...]]>    349dataanalysis,datascience,newsinpharma,pharmabrief,technologyinpharmafalse22full    #004 Technology Transformation in Clinical Trial Analysishttps://www.spreaker.com/episode/004-technology-transformation-in-clinical-trial-analysis--65131497
    The opinions shared here do not represent the official position of Roche or Novartis.

    We explore why clinical trials lag behind in innovation—even as the research side of drug development makes massive leaps. We’ll uncover why attracting top talent is critical to driving the industry forward, particularly in adopting open-source technologies. Dive into tools like R, test automation frameworks, and data abstractions, and learn how they’re reshaping tech transformation in clinical trials. Joining us are Novartis experts Orla Doyle and James Black to unpack the challenges and opportunities ahead.

    • In this episode, you will learn:
    • Why R and open-source tools are dethroning outdated proprietary systems
    • How modern tools attract new talent and retain seasoned experts
    • The persistent inefficiency puzzle in clinical data analysis
    • Decentralized trials: balancing accessibility with data integrity
    • Building regulatory trust in open-source and agile workflows
    • AI’s future in trials, decentralized models, and global standards


    Orla Doyle
    â–ş https://www.linkedin.com/in/orla-doyle-53a5019a/
    James Black
    â–ş https://www.linkedin.com/in/epijim/
    Nat Chrzanowska
    https://www.linkedin.com/in/nat-chrzanowska/ 
    __________________________________________
    More about Appsilon:
    â–ş 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/ 
    ]]>    https://api.spreaker.com/episode/65131497Thu, 27 Mar 2025 07:00:07 +0000Appsilon#datascience #dataanalysis #technology #clinicaltrials #opensource #rshiny #techtransformation The opinions shared here do not represent the official position of Roche or Novartis. We explore why clinical trials lag behind in innovation—even as the...
    The opinions shared here do not represent the official position of Roche or Novartis.

    We explore why clinical trials lag behind in innovation—even as the research side of drug development makes massive leaps. We’ll uncover why attracting top talent is critical to driving the industry forward, particularly in adopting open-source technologies. Dive into tools like R, test automation frameworks, and data abstractions, and learn how they’re reshaping tech transformation in clinical trials. Joining us are Novartis experts Orla Doyle and James Black to unpack the challenges and opportunities ahead.

    • In this episode, you will learn:
    • Why R and open-source tools are dethroning outdated proprietary systems
    • How modern tools attract new talent and retain seasoned experts
    • The persistent inefficiency puzzle in clinical data analysis
    • Decentralized trials: balancing accessibility with data integrity
    • Building regulatory trust in open-source and agile workflows
    • AI’s future in trials, decentralized models, and global standards


    Orla Doyle
    â–ş https://www.linkedin.com/in/orla-doyle-53a5019a/
    James Black
    â–ş https://www.linkedin.com/in/epijim/
    Nat Chrzanowska
    https://www.linkedin.com/in/nat-chrzanowska/ 
    __________________________________________
    More about Appsilon:
    â–ş 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/ 
    ]]>    2447clinicaltrials,dataanalysis,datascience,opensource,pharma,pharmatech,rshiny,techtransformationfalse4full    #1 Pharma Brief: J&J Moves to Open Source, AI-powered Data Extraction, and Top Clinical Trials for 2025https://www.spreaker.com/episode/1-pharma-brief-j-j-moves-to-open-source-ai-powered-data-extraction-and-top-clinical-trials-for-2025--64970161Pharma 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:

    Events:
    • Pharma 2025: 9 - 11 April, 2025   |   Barcelona, Spain

    Nat Chrzanowskahttps://www.linkedin.com/in/nat-chrzanowska/ 
    __________________________________________
    More about Appsilon: â–ş 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/ ]]>https://api.spreaker.com/episode/64970161Thu, 20 Mar 2025 07:00:08 +0000AppsilonPharma 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...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-submissions
    • AWS re:Invent Talk about Natera’s AI-Powered Data Extraction: https://www.youtube.com/watch?v=csbfwFbg8zE
    • 2024 CDER Novel Drug Approvals: https://www.fda.gov/drugs/novel-drug-approvals-fda/novel-drug-approvals-2024
    • 360i Kick off CDISC recording: 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 and the slide deck here.
    • Top clinical trials for 2025: https://www.nature.com/articles/s41591-024-03383-y/tables/1
    • A new study on personalized cancer treatment: https://www.nature.com/articles/s41467-024-55251-5
    • Generative Artificial Intelligence (AI) on AWS: https://aws.amazon.com/developer/generative-ai/?ref=dc&id=b2
    • You 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_Y
    • About Pharmaverse: https://pharmaverse.org/
    • Overview of CDISC standards and their role in supporting clinical research: https://www.cdisc.org/standards
    • Recordings from the recent GxP Validation Summit: 330clinicaldata,clinicaldataanalysis,clinicaltrials,dataanalysis,datascience,drugdevelopment,fda,healthcare,pharma,pharmabrief,pharmatech,pharmaverse,rshiny,technologyinpharma,techtransformationfalse21full#003 The Future of GxP Compliance in Pharma: R-based Submissionshttps://www.spreaker.com/episode/003-the-future-of-gxp-compliance-in-pharma-r-based-submissions--64837390GxP compliance is shaping the future of pharmaceutical software engineering, yet many companies still struggle with implementation. In this episode, Appsilon’s co-founder, PaweĹ‚ PrzytuĹ‚a, 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:
      â–ş 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/ 
      ]]>      https://api.spreaker.com/episode/64837390Thu, 13 Mar 2025 06:00:07 +0000Appsilon#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...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:
      â–ş 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/ 
      ]]>      2040clinical,clinicaltrials,compliance,drugdevelopment,gxp,pharma,pharmasoftware,rshiny,softwarefalse13full      #002 How NASA Chooses the Right Talent for Space Explorationhttps://www.spreaker.com/episode/002-how-nasa-chooses-the-right-talent-for-space-exploration--64557979
      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:
      â–ş 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/ ]]>      https://api.spreaker.com/episode/64557979Thu, 27 Feb 2025 07:00:07 +0000AppsilonIn 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...
      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:
      â–ş 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/ ]]>      1622dataanalysis,dataanalytics,datascience,nasa,opensource,science,spaceexploration,talent,technologyfalse12full      #001 Why Clinical Trials Fail: Lessons from Two Decades in Pharmahttps://www.spreaker.com/episode/001-why-clinical-trials-fail-lessons-from-two-decades-in-pharma--64336482
      • 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:
      â–ş 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/ ]]>      https://api.spreaker.com/episode/64336482Thu, 13 Feb 2025 08:00:07 +0000AppsilonTogether 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...
      • 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:
      â–ş 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/ ]]>      1998clinical,clinicaltrials,datascience,drugdevelopment,pharma,r,rshiny,shiny,technologyfalse1full      #000 Where Technology Meets Science by Appsilon Trailerhttps://www.spreaker.com/episode/000-where-technology-meets-science-by-appsilon-trailer--64248046https://api.spreaker.com/episode/64248046Fri, 07 Feb 2025 13:19:12 +0000Appsilon"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...73lifesciences,pharma,technologyfalsefull