From Data Manager to Data Scientist: Navigating the Future of Data Management in Clinical Trials
Source category: Professional Development
THE COMMUNITY ARCHIVE
PHUSE Papers ArchivePage 16
Browse indexed publications from PHUSE. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.
- 2026454 papers →
- 2025438 papers →
- 2024403 papers →
- 2023373 papers →
- 2022307 papers →
- 2021318 papers →
- 2020359 papers →
- 2019323 papers →
- 2018321 papers →
- 2017150 papers →
- 2016142 papers →
- 2015128 papers →
3,716 papers · Showing 601–640
From Fragmentation to Fusion: A Journey Through Mergers and Acquisition Data Integration Challenges
Source category: Professional Development
Author collections: Xiao Huang
From Frozen to Fluid: How the {slushy} R Package Meets the Unique Needs of Study Teams
Source category: OS
Author collections: Becca Krouse
From Manual to Machine: Leveraging Best-of-Breed Approaches in Clinical Data Management
Source category: Emerging Trends
Author collections: Christina Dinger · Joe Lebers
From Mock to Output: Using Generative AI to Write SAS Code for Standards-Based TFLs
Source category: Trends & Technology (TT)
Author collections: Kala Shivali
From Outsourced to Open Source: Denalis R-Driven Transformation in Biometrics
Source category: Submissions & Agencies (SA)
Author collections: Thomas Neitmann
From Overload to Insight: Personal Knowledge Management for Clinical Data Scientists in the Age of Generative AI
Source category: Professional Development (PD)
Author collections: Sascha Ahrweiler
From RAGS to Riches: Creating a CDISC Standard Customer Service Agent Using R and Generative AI
Source category: Machine Learning, AI and Large Language Models
Author collections: Daniel Woodie
From Roadblocks to Roadmaps: Overcoming Challenges in Registry Data Reporting
Source category: Real-world Evidence
Author collections: Sivasankar Konda · Neha Srivastava
From Schedules of Activities (SoAs) to USDM: Automating Protocol Extraction Using Large Language Models
Source category: Machine Learning, AI & Large Language Models (ML)
Author collections: Kerstin Forsberg · Johannes Ulander
From SDTM to a Graph-Based, Multi-Purpose Interface for Data
Source category: Trends & Technology (TT)
Author collections: Eva Kelty · Catharina Dahlbo
From Specification to CSRs – Towards a Unified Analysis and Review Platform
Source category: Emerging Trends
Author collections: Steve Ross · Achinoam Ravet-Parel
From Standards to Strategy: Customising CDISC Open Rules for the TMF Reference Model
Source category: Standards Implementation (SI)
Author collections: Irina Sargsyan
From Static Archives to Analysis Results Standards Maximising the Utility of Statistical Analyses
Source category: Trends & Technology (TT)
Author collections: Ilan Carmeli
From Statistical Programming to AI Automation in Data Management: A Cross-Departmental Tech Journey
Source category: Professional Development (PD)
From Topline to Triumph: Visualising the Pathways to Regulatory Approval
Source category: Poster Presentations
Author collections: Jasperlynn Kao
From XPT to Dataset-JSON: Enabling Real-Time Validation and Streamlined Submissions
Source category: Standards Implementation (SI)
Author collections: Sebastià Barceló
From Zero to Programming Hero: How Internships Shape Statistical Programmers in CROs
Source category: Professional Development (PD)
Fun With Figures
Source category: Coding Tips & Tricks (CT)
Author collections: Miriam Amor
Future-Proofing Clinical Data Standards: Preparing for AI and Machine Learning
Source category: Data Standards & Governance
Author collections: Shivoy Pandita
Gen AI in People Leadership: Unlocking Engagement and Inclusivity
Source category: Professional Development
Author collections: Rinki Jajoo · Shaveta Bansal
Gen AI-Powered Trial Performance Co-Pilot to Accelerate Clinical Trials
Source category: Machine Learning, AI and Large Language Models
Gen-AI for Statistical Reporting and CSR Writing Leveraging CDISC ARS Model
Source category: Machine Learning, AI and Large Language Models
Author collections: Navin Dedhia
Generate Clinical Study Reports (CSRs) Using {quarto} and {shiny}
Source category: OS
Author collections: Peng Zhang
GLMM and GEE for Categorical Repeated Measures Linking SAS and R
Source category: Analytics & Statistics (AS)
Author collections: Miriam Amor
GPT-Powered Data Insights: Advancing Clinical Data Analytics with Large Language Models (LLMs)
Source category: Machine Learning, AI and Large Language Models
Author collections: Melanie Hullings
gridify: Enrich Figures and Tables with Custom Headers and Footers
Source category: Poster Presentations (PP)
Author collections: Maciej Nasinski · Alexandra Wall
Guiding the Direction of Open-Source Development for Faster End-to-End HTA Submissions
Source category: Open Source Technologies (OS)
Author collections: Christian Olsen · Stephen McCawille
Harmonising Heterogeneity: Orchestrating Innovation Through Interdisciplinary Collaboration and Strategic Alignment
Source category: Professional Development
Author collections: Srinivas Veeragoni
Harnessing Analysis Results Datasets (ARDs) for Clinical Reporting in R: Our First ARD-Based Filing Experience
Source category: OS
Author collections: Daniel Sjoberg
Harnessing the Power of Interactive SAS Outputs Through SASpy in a Flask
Source category: Application Development (AD)
Harnessing the Power of R Shiny in a GxP-Compliant and Validated Manner for Clinical Trial Use
Source category: OS
Author collections: Sanyogeeta Andhale · Shilpa Sood
Hash-ing It Out: Bringing SAS to the Next Level
Source category: Coding Tips & Tricks (CT)
Author collections: Lara Suckut
Health Authority Interactions and Communication During the Submission Process
Source category: Submissions & Agencies
Author collections: Ritesh Dhimmar · Raman Bassi
Health Equity Explorer: Technical Deep Dive into an R Shiny Application for Revealing Structural Inequity and Systemic Racism in Healthcare
Source category: Emerging Trends
How Can Agile R Package Validation Workflows Be Achieved?
Source category: Poster Presentations (PP)
How Does a Computer Really Process Your SAS Code?
Source category: Coding Tips & Tricks (CT)
Author collections: Ben Barnaby-Pass
How To Become a More Productive Programmer Using LLMs (Lots of Limb Movements)
Source category: Professional Development (PD)
How to Identify and Operationalise GenAI Use Cases Which Really Help You
Source category: Machine Learning, AI & Large Language Models (ML)
Author collections: Christoph Bergen
How To Map Lab Data into the LB Domain and ADLB
Source category: Poster Presentations (PP)