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 | |
Working Group Events | 2026 | Worldwide | Virtual | Bayesian Guidance and ClinicalTrials.gov Reporting: Closing the Gap | Ankit Gupta | Krystelis | Kartika Pidaparthi | Data Transparency | PRE_DT08.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 |
Working Group Events | 2026 | Worldwide | Virtual | Data Transparency Autumn Event – Day 3 | N/A | N/A | Data Transparency | REC_DT03.mp4 | |
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 | |
Working Group Events | 2026 | Worldwide | Virtual | AI-Driven Video Plain Language Summaries: Expanding Patient Access to Clinical Trial Results at Scale | Nikki Moolman | Bristol Myers Squibb | Data Transparency | PRE_DT09.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 | |
Working Group Events | 2026 | Worldwide | Virtual | From Transparency to Tangible Value: Implementing Participant Data Return to Enhance Trust, Care and Equity in Clinical Trials | Marianna Foos | Biogen | Kristi Whiteside | Data Transparency | PRE_DT10.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 |
Working Group Events | 2026 | Worldwide | Virtual | Introduction to the Role of Transparency Writers in the Validation of Transparency Platforms | Neha Tickoo | Syneos Health | Sonali Parmar | Data Transparency | PRE_DT11.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 | |
Working Group Events | 2026 | Worldwide | Virtual | De-Identification of Histopathology Slide Images, the NHLBI BioData Catalyst® Data Management Core Experience | Zixin Nie | RTI International | Data Transparency | PRE_DT12.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 |