🤖🧬 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

🤖🧬 Where Technology Meets Science is a technology podcast hosted by Appsilon, with 15 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Appsilon hosts 🤖🧬 Where Technology Meets Science, a technology show with 15 episodes published.

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  Episode #10

  #010 Centralized Monitoring: Risk-based Approach to Clinical Trial Processes

  Jun 20, 202541 minS1

  #datascience #centralizedmonitoring #clinicaltrials #technologyinpharma #pharmatransformation<br /><br />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.<br /><br />Materials shared in the episode:<br />PHUSE RBQM Working GroupRBQM Education Project<br />PHUSE CM White Papers:Centralized Monitoring: Exploring the Considerations and Challenges o...

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  Episode #11

  #009 GenAI in Clinical Reporting: Beyond the Buzz, Real Use Cases, and Future Directions

  Jun 5, 202536 minS1

  #datascience #genAI #clinicaltrials #clinicalreporting #AIinpharma #GenerativeAI #Roche #AIautomation #pharmaceuticalindustry #AIchallenges #AIbot #chatbots #copilot #codingassistant<br /><br />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:<br />AI will augment rather than r...

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  Episode #4

  #4 Pharma Brief: Generative AI Advances at FDA, Pharma’s Autonomous Agents, and Open-Source Tools Spotlight

  Jun 4, 20256 minS2

  <b>#datascience #dataanalysis #technology #pharmabrief #clinicaltrials #technologyinpharma #pharma #pharmanews</b><br /><b></b><br />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 sig...

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  Episode #8

  #008 Machine Learning Modeling in Neuroscience Clinical Trials Design

  May 22, 202534 minS1

  <b>#datascience #dataanalysis #technology #machinelearning #clinicaltrials #placebo</b><br /><b><br />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.<br />In this episode, you will learn:</b>How machine learning can help address high placebo response and attrition in neuroscience clinical trials.Why traditional...

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  Episode #7

  #007 How Open Source and Community Efforts Drive R-Based FDA Submissions

  May 8, 202535 minS1

  <b>#datascience #dataanalysis #technology #datascience #opensource #pharmaverse #pharma #dataanalysis #clinicaltrials</b><br /><b><br />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.<br /><br />In this episode, you will learn:</b>Lessons learned from GSK’s open source adoption jo...

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