PHUSE Archive
All materials from PHUSE Events can be found below. Use the filters to narrow your search.
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| Event | Year | Region | City | Title | Author | Company | Co-author | Keywords | Links |
|---|---|---|---|---|---|---|---|---|---|
Connect | 2026 | APAC | Hyderabad | AD06: Harnessing the Power of the Safety Database! | Aparna Sarju | AstraZeneca | Ravichandra Hugar | AD06; Application Development & Software Demonstrations; Best in Stream | PRE_AD06.pdfPAP_AD06.pdf |
Connect | 2026 | US | Austin | ML07: Integrating LLMs Using R Shiny for Clinical Data Review by Ensuring Data Privacy and Validity | Peng Zhang | CIMS Global | ML07; Artificial Intelligence, Machine Learning and Large Language Models | PRE_ML07.pdfPAP_ML07.pdf | |
Connect | 2026 | APAC | Hyderabad | AD07: TFL Treasure Hunt: Making Legacy Data Instantly Discoverable with RAD Finder | Alexis Bernard Dalam | Pfizer | Cielo Marie Castañeda | AD07; Application Development & Software Demonstrations | PRE_AD07.pdfPAP_AD07.pdf |
Connect | 2026 | US | Austin | ML08: Next-Gen Statistical Programming: AI as Your Coding Co-Pilot in R | Sumesh Kalappurakal | Johnson & Johnson | Mark Rothe | ML08; Artificial Intelligence, Machine Learning and Large Language Models | PRE_ML08.pdfPAP_ML08.pdf |
Connect | 2026 | APAC | Hyderabad | AD08: TFL Automation Through Design, Specify, Execute and Report: A Seamless End-to-End Framework | Colin Izzo | Clymb Clinical | Malan Bosman | AD08; Application Development & Software Demonstrations | PRE_AD08.pdfPAP_AD08.pdf |
Connect | 2026 | US | Austin | ML09: AI-Powered Multiple-Agent Pipeline for Automating ADaM Dataset Generation | Bo Ci | Yesod AI | ML09; Artificial Intelligence, Machine Learning and Large Language Models | PRE_ML09.pdfPAP_ML09.pdf | |
Connect | 2026 | APAC | Hyderabad | AD09: Intelligent Integration: Enabling Collaborative Clinical Insights with an SCE and R | Shivoy Pandita | Entimo | AD09; Application Development & Software Demonstrations | PRE_AD09.pdfPAP_AD09.pdf | |
Connect | 2026 | US | Austin | ML11: Beyond the Hype: Practical Guidance for LLM Adoption in Statistical Programming | Michael Goedde | Bioforum The Data Masters | ML11; Artificial Intelligence, Machine Learning and Large Language Models | PRE_ML11.pdfPAP_ML11.pdf | |
Connect | 2026 | APAC | Hyderabad | AD11: E2E Clinical Metadata Journey: ‘Single Source of Truth’ to Accelerate Clinical Research – From Collection and Tabulation to Analysis and Reporting | Indumathi Narasetty | AstraZeneca | AD11; Application Development & Software Demonstrations | PRE_AD11.pdfPAP_AD11.pdf | |
Connect | 2026 | US | Austin | ML12: Utilizing AI for Automated Conversion of ADaM Specifications to R Code | Alice Ehmann | GSK | Kjersten Offenbecker | ML12; Artificial Intelligence, Machine Learning and Large Language Models; Best in Stream | PRE_ML12.pdfPAP_ML12.pdf |
Connect | 2026 | APAC | Hyderabad | AD13: Connecting Open-Source and Enterprise Software: Enhancing Phase III Clinical Trial Design Through R Integration in East Horizon | Pradip Maske | Cytel | Anoop Rawat | AD13; Application Development & Software Demonstrations | PRE_AD13.pdfPAP_AD13.pdf |
Connect | 2026 | US | Austin | ML13: Your Brain on AI: What We Gain, What We Risk, and How to Harness AI Without Losing Trial Integrity | Aditya Gadiko | Saama | ML13; Artificial Intelligence, Machine Learning and Large Language Models | PRE_ML13.pdfPAP_ML13.pdf | |
Connect | 2026 | APAC | Hyderabad | AD14: Leveraging Data Visualisation from Clinical Trial Registries for Enhanced Insights | Anand Boopalan | AstraZeneca | Gowtham Manickaselvam | AD14; Application Development & Software Demonstrations | PRE_AD14.pdfPAP_AD14.pdf |
Connect | 2026 | US | Austin | ML14: From Automation to Audit Readiness – AI’s Growing Role in Statistical Programming | Manoj Kumar Maripally | Cytel | ML14; Artificial Intelligence, Machine Learning and Large Language Models | PRE_ML14.pdfPAP_ML14.pdf | |
Connect | 2026 | APAC | Hyderabad | AD15: Veristat TLF Packager (GUI): An Interactive Tool for Automated Creation of Combined PDFs with Bookmarks and Clickable Table of Contents | Manivannan Mathialagan | Veristat | AD15; Application Development & Software Demonstrations | PRE_AD15.pdfPAP_AD15.pdf | |
Connect | 2026 | US | Austin | ML15: Coding Clinical R with Confidence: Digital AI Assistant Based on Self-Hosted LLMs | Kostiantyn Drach | Intego Clinical | Iryna Kotenko | ML15; Artificial Intelligence, Machine Learning and Large Language Models | PRE_ML15.pdfPAP_ML15.pdf |
Connect | 2026 | APAC | Hyderabad | AD16: Implementing the CDISC Library RESTful API in R: Automated Access to Metadata Repositories and Controlled Terminologies | Jagadish Katam | Princeps Technologies | AD16; Application Development & Software Demonstrations | PRE_AD16.pdfPAP_AD16.pdf | |
Connect | 2026 | US | Austin | ML16: AI-Driven Metadata Integration in Modern TLF Development | Chuck Gelb | Beaconcure | ML16; Artificial Intelligence, Machine Learning and Large Language Models | PRE_ML16.pdfPAP_ML16.pdf | |
Connect | 2026 | APAC | Hyderabad | AS02: Revolutionising Clinical Quality: A Frontier Approach with QbD, Infrastructure Modernisation and Data-Driven Analytics | Deepa Balaji | GSK | Priti Gupta | AS02; Analytics & Statistics & Analytical Risk-Based Monitoring | PRE_AS02.pdfPAP_AS02.pdf |
Connect | 2026 | US | Austin | ML17: Prompting for Precision: Leveraging LLMs To Accelerate Clinical Trial Document Understanding | Jaya Simha Inampudi | Saama | ML17; Artificial Intelligence, Machine Learning and Large Language Models | PRE_ML17.pdfPAP_ML17.pdf |