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PODCAST

🤖🧬 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

technology life sciences

All Episodes

41:29

#010 Centralized Monitoring: Risk-based Approach to...

🤖🧬 Where Technology Meets Science ·

2025/06/20

#datascience #centralizedmonitoring #clinicaltrials #technologyinpharma #pharmatransformationIn 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

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35:47

#009 GenAI in Clinical Reporting: Beyond the Buzz,...

🤖🧬 Where Technology Meets Science ·

2025/06/05

#datascience #genAI #clinicaltrials #clinicalreporting #AIinpharma #GenerativeAI #Roche #AIautomation #pharmaceuticalindustry #AIchallenges #AIbot #chatbots #copilot #codingassistantIn 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

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6:00

#4 Pharma Brief: Generative AI Advances at FDA,...

🤖🧬 Where Technology Meets Science ·

2025/06/04

#datascience #dataanalysis #technology #pharmabrief #clinicaltrials #technologyinpharma #pharma #pharmanewsPharma 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

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34:03

#008 Machine Learning Modeling in Neuroscience...

🤖🧬 Where Technology Meets Science ·

2025/05/22

#datascience #dataanalysis #technology #machinelearning #clinicaltrials #placeboIn 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

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35:20

#007 How Open Source and Community Efforts Drive...

🤖🧬 Where Technology Meets Science ·

2025/05/08

#datascience #dataanalysis #technology #datascience #opensource #pharmaverse #pharma #dataanalysis #clinicaltrialsIn 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

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6:04

#3 Pharma Brief: FDA's Animal Testing Phase-Out, AI...

🤖🧬 Where Technology Meets Science ·

2025/05/07

#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,

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32:13

#006 Inside Novo Nordisk’s Path to Open Source for...

🤖🧬 Where Technology Meets Science ·

2025/04/24

Ari 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 clinical programming. In this episode, you will learn:How Novo Nordisk transitioned from legacy systems to R for regulatory submissionsHow Shiny applications became the catalyst for internal buy-inHow open-source adoption has broadened the company’s talent

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35:43

#005 Shiny’s Evolution: From Prototyping Tool to...

🤖🧬 Where Technology Meets Science ·

2025/04/10

#datascience #dataanalysis #technology #clinicaltrials #rshiny #shinyforpython #pharmatechShiny 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

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5:49

#2 Pharma Brief: AI’s Impact on Clinical Trials,...

🤖🧬 Where Technology Meets Science ·

2025/04/02

Pharma 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 streamline processes. We’ve also highlighted open-source packages to optimize your workflows.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

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40:47

#004 Technology Transformation in Clinical Trial...

🤖🧬 Where Technology Meets Science ·

2025/03/27

#datascience #dataanalysis #technology #clinicaltrials #opensource #rshiny #techtransformationThe 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

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5:30

#1 Pharma Brief: J&J Moves to Open Source, AI-powered...

🤖🧬 Where Technology Meets Science ·

2025/03/20

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

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34:00

#003 The Future of GxP Compliance in Pharma: R-based...

🤖🧬 Where Technology Meets Science ·

2025/03/13

#datascience #dataanalysis #GxP #PharmaTech #SoftwareValidation #FDARegulations #ClinicalTrials #LifeSciences #R #PharmaInnovation #TechInPharmaGxP 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

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27:02

#002 How NASA Chooses the Right Talent for Space...

🤖🧬 Where Technology Meets Science ·

2025/02/27

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,

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33:18

#001 Why Clinical Trials Fail: Lessons from Two...

🤖🧬 Where Technology Meets Science ·

2025/02/13

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

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1:13

#000 Where Technology Meets Science by Appsilon Trailer

🤖🧬 Where Technology Meets Science ·

2025/02/07

"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

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