Leveraging Open Data and Machine Learning Enhanced Data Extraction for Clinical Trials Insight
Source category: Machine Learning, AI and Large Language Models
Author collections: Hugo Bottois
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PHUSE 2024 Papers ArchivePage 7
Browse indexed publications from PHUSE in 2024. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
403 papers · Showing 241–280
Leveraging Shiny Modules for Modular and Scalable Web Applications for Clinical Trials/Research
Source category: Open Source Technologies
Author collections: Sohan Lal · Pinku Hooda
Leveraging the USDM Standard in OpenStudyBuilder for Enhanced Data Exchange
Source category: Data Handling & Engineering
Author collections: Nicolas de Saint Jorre
MAICing Efficient, Flexible and Maintainable Code with Modular Programming
Source category: Scripts, Macros & Automation
Author collections: Michael Allie
Making SDTM/ADaM CRT Packages Submission Ready
Source category: Submissions & Agencies
Author collections: Phillip Spowart
Mapping a Veeva SDS Specification to ODM-XML
Source category: Standards Implementation
Mapping Real-World Data (RWD) to SDTM Samples for External Control Arm or Registry Studies
Source category: Real-world Evidence
Author collections: Joe Xi
Mastering Pinnacle 21 for Oncology SDTM
Source category: Data Standards & Governance
Author collections: Daryna Khololovych
Mastering Production-Grade Shiny Apps with Rhino: Lessons and Insights
Source category: Open Source Technologies
Author collections: André Veríssimo · Vedha Viyash
Mastering the Art of Adaptation: Innovative Strategies for Effective Change Management
Source category: People Leadership & Management
Author collections: Mark Bynens
Maximising GitHub APIs: A Journey to Open-Source Metrics
Source category: Open Source Technologies
Author collections: Alanah Jonas
Medidata RAVE and Veeva CDMS Data Extraction Macros
Source category: Scripts, Macros & Automation
Author collections: Nicola Tambascia
Meta-Analysis on Aggregate Data and Individual Patient Data Using R
Source category: Poster Presentations
Mining Historical Data and Epidemiological Evidence for Real-World Studies
Source category: Poster Presentations
Author collections: Shubhranshu Dutta
Multilingual Programming Language (MPL): A Paradigm Shift in Clinical Programming
Source category: Trends & Technology
My Data Is Too Good to Be True! Should I Worry About Fraud or Sloppiness?
Source category: Analytics Risk-based Monitoring
Author collections: Michael Walega
Navigate Clinical Study Report Tables and Listings – The iTable & iListing Project
Source category: Application Development
Author collections: Katja Glass
Navigating and Building Bridges: A Framework for Clinical Programming Using Open-Source Tools
Source category: Open Source Technologies
Navigating First Data Submission: Pierre Fabre’s Journey and Insights into Data Submission Challenges with the NMPA
Source category: Submissions & Agencies
Navigating Personal and Continuing Professional Development – A Journey into Data Science
Source category: Poster Presentations
Navigating RBQM Change Management: Real-World Strategies for Success
Source category: Analytics Risk-based Monitoring
Author collections: Jamie O'Neill
Navigating the Clinical Research Landscape: The Role of Regulatory Intelligence and LLMs
Source category: Standards Implementation
Author collections: Federica Citterio · Soundarya Palanisamy
Navigating the Data Storm: Strategic Mastery for Sustaining Technical Excellence Amid Industry Shifts
Source category: Professional Development
Author collections: Mahdi About
Navigating the Safe Integration of AI (ChatGPT) into Clinical Trial Programming Workflow
Source category: Emerging Trends
Author collections: Mykyta Vysotskyi
NEST: How Could We Generate and Deliver Clinical Insights Even Faster?
Source category: Open Source Technologies
Author collections: Vincent Shen
Novel Analytics for Risk-Based Monitoring: Harnessing Natural Language Processing for Query Data to Enhance and Optimise Data Quality
Source category: Innovation Challenge
Author collections: Lawrence Dennison-Hall
Novel Ways to Leverage Your Real-World Data Investment in Integrated Evidence Package Submissions
Source category: Poster Presentations
Author collections: Sherrine Eid
OAK Productivity Experiment – How We Made SDTM Programming 5x Faster
Source category: Standards Implementation
Author collections: Amy Franklin · Magdalena Krochmal
Optimising Clinical Research: Using AI for Automated Validation of Output Tables Against ADaM
Source category: Emerging Trends
Author collections: Steve Ross · Ilan Carmeli
Optimising Workflow and Collaboration in a Pooled Coding Environment for Clinical Development
Source category: Scripts, Macros & Automation
Organisational Considerations When Replacing or Adding a New Software Language
Source category: Open Source Technologies
Author collections: Brian Varney
Our Road to Adopting CORE: An Implementation Journey in SDTM Dataset Validation
Source category: Standards Implementation
Author collections: Marisa Wyckmans
P_MACRO, Parameters Extraction From Macros to SAS Dataset
Source category: Coding Tips & Tricks
Author collections: Eswara Satyanarayana Gunisetti
Perl Regular Expressions in SDTM and ADaM Programming: Live Study Examples
Source category: Coding Tips & Tricks
Population Pharmacokinetic Analysis Data (ADPPK) Programming in {admiral} and the pharmaverse
Source category: Poster Presentations
Author collections: Jeffrey Dickinson
Posit/RStudio Pharma Updates: Reproducibility and Beyond
Source category: Open Source Technologies
Author collections: Cole Arendt · Philip Bowsher
Post-Pandemic Trends in Study Designs
Source category: Emerging Trends
Author collections: Charumathy Sreeraman · Jisha George
Post-Text (TLGs) to In-Text Statistical Table Automatic Conversion for Clinical Study Reports (CSRs)
Source category: Data Handling & Engineering
Author collections: Divya Kanniah · Swetha Balaji
Pre ADSL – Revolutionise Your ADaM Workflow
Source category: Data Handling & Engineering
Principal Component Analysis (PCA) – An Efficient Way of Variable Reduction Method and Its Application in Oncology Trials
Source category: Analytics & Statistics
Author collections: Pradeep Acharya