| WUSS |
2026 |
Smarter CRF Reviews: An Open-Source AI Tool for Automated Protocol-to-CRF Gap Analysis in Clinical Trials |
Raj Sharma |
source |
9 |
| WUSS |
2026 |
Your PROCs Meet AI: Fuzzy vs. Semantic Matching in SLC |
Yulia Horwath |
source |
31 |
| PharmaSUG CN |
2026 |
AI in Regulatory Submissions: Health Authority Expectations and Emerging Opportunities for Data Standards and Submission |
He Liu |
source |
7 |
| PharmaSUG CN |
2026 |
Applying AI LLM to Reduce Manual Translation Workload in E-Data Package Submission |
Megan Chen |
source |
7 |
| PharmaSUG CN |
2026 |
R Submissions in Practice: The J&J Implementation and Emerging AI Opportunities |
Wenlan Pan |
source |
11 |
| PharmaSUG |
2026 |
A Practical Roadmap for Modernizing Legacy Clinical Applications |
David L. Ward |
source |
15 |
| PharmaSUG |
2026 |
Accelerating CDISC SEND Conversion with AI: From Raw Preclinical Data to Regulatory-Ready Datasets |
Nattawit Pewngam, Chotika Chatgasem, Titipat Achakulvisut |
source |
10 |
| PharmaSUG |
2026 |
An Alternative Option to Create XPT Files with a SAS Function |
Jose Hernandez Rivero, Ruth Marisol Rivera Barragan |
source |
5 |
| PharmaSUG |
2026 |
An End-to-End R-Based Pharmacokinetics (PK) Workflow for Regulatory Submission: The INAVO120 Study |
Qi Liu, Shweta Vadhavkar |
source |
5 |
| PharmaSUG |
2026 |
Beyond Today-s Evidence: How AI-Enabled RWE Will Transform Development Speed, Study Quality, and Real-World Impact |
Sherrine Eid |
source |
15 |
| PharmaSUG |
2026 |
DefinePageChecker: A Python Tool for Verifying Page Number Hyperlinks in Define.xml |
Xianhua Zeng |
source |
4 |
| PharmaSUG |
2026 |
Early Unblinding to Pharmacometrics (PMx) Data: Challenges, Practices, and Benefits |
Shweta Vadhavkar, Jing Su |
source |
6 |
| PharmaSUG |
2026 |
Efficiency in Action: Automating Bookmarking for CRFs and Other Regulatory Submission Documents |
Srivathsa Ravikiran, Sri Raghunadh Kakani, Yang Xu |
source |
11 |
| PharmaSUG |
2026 |
Enhancing CDISC Standards Implementation (SDTM and ADaM) with PROC FCMP, PROC IML and Macro Loop Integration in Oncology Clinical Trials. |
Ajay Gupta, Misikir Tesfaye |
source |
7 |
| PharmaSUG |
2026 |
From Automation to Evidence: Governing LLMs and AI Agents in Real-World Outcomes Research |
Sherrine Eid |
source |
17 |
| PharmaSUG |
2026 |
From Chaos to Clarity: A Programmer-s Perspective on Standardizing Population Pharmacokinetic (PopPK) Data for Regulatory Success |
Naveen Muppalla, Shibani Harite |
source |
7 |
| PharmaSUG |
2026 |
From Manual to Automated": An SAS and R-Based Toolkit for Scalable SDTM Generation |
Hardik Sheth, Eldho Alias |
source |
8 |
| PharmaSUG |
2026 |
Investigator-Initiated Trials: Navigating Statistical Programming Challenges with Practical Solutions |
Vikas Patil, Ramesh Sundaram |
source |
6 |
| PharmaSUG |
2026 |
Keynote Presentation: Between Hype and Reality: Posit's Blueprint for Responsible GenAI in Life Sciences [presentation] |
Tareef Kawaf |
source |
28 |
| PharmaSUG |
2026 |
Navigating Early Career Challenges in PK/ADA Statistical Programming |
Diyu Yang, Sandeep Meesala |
source |
11 |
| PharmaSUG |
2026 |
One Study, Many Regulators: Submission-Ready Data Package for Multi-Region Filings |
Himanshu Patel, Chintan Pandya |
source |
10 |
| PharmaSUG |
2026 |
Optimizing Clinical TFL Review with Python and Power BI: A Reproducible Workflow to Reduce QC Time and Improve Traceability |
Vijaya Lakshmi Cherakam, Latha Donapati |
source |
10 |
| PharmaSUG |
2026 |
Schema-Preserving Generation of Clinical TLF Templates and Executable R Code via Iterative LLM-Guided Debugging |
Jaime Yan, Ming Yang |
source |
18 |
| PharmaSUG |
2026 |
Smarter, Faster, Better: GenAI-Driven Authoring for Data Reviewer's Guides |
Christina Scienski, Christine Rossin |
source |
4 |
| PHUSE US |
2026 |
Accelerating Study Insights: Agile Data Visualisation Using R-Shiny |
Lin Yuan, Heather Howell |
source presentation source |
6 |
| PHUSE US |
2026 |
Acquiring a Compound with Multiple Clinical Trials? Let's Get Ready for a Type C Meeting! Key Considerations for Preparing Its Regulatory Submission |
Mathura P. Ramanathan, Kajal Tahiliani |
source presentation source |
12 |
| PHUSE US |
2026 |
Advancing Transparency-by-Design in Clinical Trial Disclosure: Real-World Applications for Regulatory Submissions [presentation] |
Obaraboye Olude, Chantal Din-Bell |
source |
60 |
| PHUSE US |
2026 |
Automated Programming Consistency Checks: Enhancing Clinical Programming Quality, Efficiency and Scalability |
Narendra Babu Kolisetty |
source presentation source |
5 |
| PHUSE US |
2026 |
Beyond Box-Checking: Five Best Practices for Embedding QC in Modern SCEs |
Chris McSpiritt |
source presentation source |
6 |
| PHUSE US |
2026 |
Breaking Free from the xpt: Exploration of Dataset-JSON as an Alternative Transport File to Regulatory Agencies |
Benjamin Straub, Samir Parmar |
source presentation source |
8 |
| PHUSE US |
2026 |
Breaking into Statistical Programming: How SAS, R, Python, AI and ML Are Shaping Career Paths |
Kishore Pothuri |
source presentation source |
6 |
| PHUSE US |
2026 |
Bridging Analysis and Strategy: The Transformative Role of Statistical Analysts in Drug Development |
Lingsong Yun |
source presentation source |
17 |
| PHUSE US |
2026 |
Building High-Quality SDTM from Real-World Data: Lessons and Solutions |
Peishan(Jenny) Han, Lixiao Chen |
source presentation source |
4 |
| PHUSE US |
2026 |
Data Harmonisation for ISS and ISE: A Practical Checklist for Integration Success |
Qiong Wei, Lily Cheng |
source presentation source |
10 |
| PHUSE US |
2026 |
Deceptive Twins: An Interactive Python Tool for Automated RTF Document Comparison in Clinical Submissions |
Aravind Gajula |
source presentation source |
8 |
| PHUSE US |
2026 |
Developing the Workforce of the Future |
Avinash Pati |
source presentation source |
5 |
| PHUSE US |
2026 |
Digital Twins for Clinical Submissions: Simulating Regulatory Review Before Submission |
Heather Gorr, Divya Kapoor |
source presentation source |
9 |
| PHUSE US |
2026 |
Electronic Clinical Data Submissions Across Global Regulatory Authorities |
Sampath Madanu |
source presentation source |
12 |
| PHUSE US |
2026 |
Electronic Submission of Population PK Analysis Files ... What's Your Modus Operandi? |
Luai R. Alzoubi |
source presentation source |
13 |
| PHUSE US |
2026 |
End-to-End Workflow for CDISC Estimand Framework in Clinical Trials |
Hiral Raval, Simon Luo |
source poster source |
12 |
| PHUSE US |
2026 |
Enhancing Clinical Trial Dataset Mapping with AI/ML Techniques: An Approach for CDISC Variable Prediction |
Parvee Kumar |
source presentation source |
7 |
| PHUSE US |
2026 |
From Automation to Audit-Readiness-AI's Growing Role in Statistical Programming |
Manoj Kumar Maripally |
source presentation source |
4 |
| PHUSE US |
2026 |
Interactive and Instant: GenAI-Driven Creation of Clinical Trial Applications |
Marcin Dubel |
source presentation source |
12 |
| PHUSE US |
2026 |
Multi-Standard Submission - Process, Learnings and Recommendations for Best Practice |
Mukesh Garg |
source presentation source |
8 |
| PHUSE US |
2026 |
Objects in Mirror Are Closer Than They Appear - How an Organisation Came Together to Accelerate Open Source Adoption |
Eileen Ching, Benjamin Arancibia |
source presentation source |
5 |
| PHUSE US |
2026 |
Submitting RWD: Where We Are and Where We Are Going |
Ingeborg Holt, Sarah Ferko, Jeffrey M. Abolafia |
source presentation source |
24 |
| PHUSE US |
2026 |
The Year of Yes! How saying "Yes" Ignited GSK's R Adoption |
Becca Krouse, Benjamin Arancibia |
source presentation source |
5 |
| PHUSE US |
2026 |
Utilizing AI for Automated Conversion of ADaM Specifications to R Code |
Alice Ehmann, Kjersten Offenbecker |
source presentation source |
9 |
| PHUSE US |
2026 |
What Pharma Can Learn from Data Science Outside the Industry |
Kris Wenzel, Liz Cole |
source presentation source |
11 |
| PHUSE APAC |
2026 |
Accelerating Regulatory Submissions with R: A Scalable and Compliant Approach |
Priyanka Sawant |
source presentation source |
6 |
| PHUSE APAC |
2026 |
An AI-Powered Digital Standards Library for Accelerated Regulatory Submissions |
Anshu Aman, Varun Sethuraman |
source presentation source |
4 |
| PHUSE APAC |
2026 |
Automation and Macros in Clinical Submissions: Challenges, Limits and the Path Forward |
Bharath Kumar Malipeddi |
source presentation source |
3 |
| PHUSE APAC |
2026 |
Bridging the Divide: Harmonizing HL7 FHIR, OMOP, and CDISC Standards for Regulatory-Grade Real-World Evidence |
Yasa Sreekanth Reddy |
source presentation source |
9 |
| PHUSE APAC |
2026 |
Building a Trustworthy RWD Analytics Platform Key Considerations and Strategies |
William Yuanhao Kuan, Ashwini Reddy |
source presentation source |
7 |
| PHUSE APAC |
2026 |
Charting New Territory: R-Based Submissions Made Easy |
Veena Terekar |
source presentation source |
7 |
| PHUSE APAC |
2026 |
Creating a clinical trial data package for Regulatory submission |
Pradip Sivaramakrishnan, Anbarasan Durairajan |
source poster source |
11 |
| PHUSE APAC |
2026 |
Development of Statistical Scientists for Pharmaceutical Drug Development at India Global Capability Centres |
Suresh Chenji |
source presentation source |
6 |
| PHUSE APAC |
2026 |
eDataValidator (eDV): Validating Clinical Data for Confident Submissions |
Pratika Chatterjee |
source poster source |
4 |
| PHUSE APAC |
2026 |
Elevating transparency in data standardization Applying XAI in SDTM, ADaM, and TLF Generation |
Shakila Jagadeesan |
source presentation source |
10 |
| PHUSE APAC |
2026 |
End-to-End Continuous Integration and Deployment Pipeline for Multi Language Analytics Applications: A Clinical Data Management Case Study |
Avinash Patnaik, Varun Sethuraman |
source presentation source |
7 |
| PHUSE APAC |
2026 |
From Clicks to Compliance: How eCRF Design Decisions Echo Through to Submission |
Mary Shefoli |
source poster source |
2 |
| PHUSE APAC |
2026 |
From Static to Interactive: A Comparative Evaluation of ggplot2 and Plotly in Clinical Data Visualisation |
Mugdha Joshi |
source presentation source |
8 |
| PHUSE APAC |
2026 |
From XPT to JSON for submissions: Are we ready for the change? |
Poorna Suresh, Bill Qubeck |
source presentation source |
20 |
| PHUSE APAC |
2026 |
Innovating Clinical Signal Surveillance: Real-Time Dashboards for Protocol and PK Deviation Monitoring |
Rubina Pathan, Jinu J. Nair |
source poster source |
7 |
| PHUSE APAC |
2026 |
Key Programmer Tasks for Japan Submission and Programmer Role Allocation |
Yoko Yamaguchi |
source presentation source |
5 |
| PHUSE APAC |
2026 |
Next-Gen Transport Standards: Dataset-JSON from a Programmer's Lens |
Venkata Koteswara Rao Rayala |
source presentation source |
6 |
| PHUSE APAC |
2026 |
RADAR: Rapid AGILE Development and Automated Reporting for Clinical Data Standards (Using R Shiny based Application) |
Neeraj Sharma, Dhirendra Kumar |
source presentation source |
5 |
| PHUSE APAC |
2026 |
Summary Outputs Made Simple: A Mirror View for SAS Programmers Exploring R |
Venkata Koteswara Rao Rayala |
source poster source |
7 |
| PHUSE APAC |
2026 |
The Expanding Role of Real-World Evidence (RWE) in Supporting Regulatory Submissions |
Setu Sagar, Nikhil A |
source presentation source |
6 |
| PHUSE APAC |
2026 |
TLF Treasure Hunt: Making Legacy Data Instantly Discoverable with RAD Finder |
Alexis Bernard Dalam, Cielo Marie Castañeda |
source presentation source |
6 |
| PHUSE APAC |
2026 |
Unlock Deeper Clinical Insights: A Unified Approach to Data Analysis with SAS, R, and Python |
Pavan Kallurkar |
source presentation source |
7 |
| PHUSE APAC |
2026 |
Unveiling Powerful Patient Data Insights Through Graph Database |
Sonal Dedhia |
source presentation source |
10 |
| PHUSE EU |
2025 |
Automating RTF-to-PDF Conversion for BIMO Submissions: A Python-Based End-to-End Solution [presentation] |
Yi Yan, Po-Chun Lin |
source |
15 |
| PHUSE EU |
2025 |
Bridging Languages: Building Integrated Analytical Tools with SAS, R, and Python for Clinical Data |
Margarethe Povey |
source presentation source |
7 |
| PHUSE EU |
2025 |
Cracking the Curve: Unlocking Clinical Insights with Ridgeline Plots |
Mariam Babayan, Rafik Ghazaryan |
source presentation source |
6 |
| PHUSE EU |
2025 |
End-to-End R: Where To Start? |
Luke Thompson |
source presentation source |
6 |
| PHUSE EU |
2025 |
FHIR for RWD Submissions: Why a US Regulation Signals a Global Shift And What You Need To Do Now |
Sanyogeeta Andhale, Nachiket Thakkar |
source presentation source |
11 |
| PHUSE EU |
2025 |
Framework for Integrating Omics Data with Other Clinical and NonClinical Data Sources |
Mehdi Harek, Jonathon Keeney |
source presentation source |
12 |
| PHUSE EU |
2025 |
From Outsourced to Open Source: Denalis R-Driven Transformation in Biometrics |
Michael Thorpe, Thomas Neitmann |
source presentation source |
4 |
| PHUSE EU |
2025 |
JSON for Submissions: Why You Should Care, What You Need To Know, and What To Do Now |
Bill Qubeck, Sridhar Vijendra |
source presentation source |
13 |
| PHUSE EU |
2025 |
Pooling Studies Through Code Traceability |
Hamdi Chouikha, Kornelius Neufeld |
source presentation source |
8 |
| PHUSE EU |
2025 |
Reproducibility, Lineage and Control: Building a Traceability Framework for the Modern Clinical Trial |
Bill Qubeck, Shilpa Sood |
source poster source |
6 |
| PHUSE EU |
2025 |
SAIL.R: Navigating Change Together in Clinical Analytics! |
Annemie Van Dijck |
source presentation source |
11 |
| PHUSE EU |
2025 |
SAMBA: Bridging the Gap How GenAI Transforms Analysis Plans into ADaM Specs [presentation] |
Thiago Figueiredo, Richard Becker |
source |
19 |
| PHUSE EU |
2025 |
The Human Element: Synergising Emotional and Physical Intelligence in Statistical Programming Leadership |
Harris Kampouris, Lino Jardim |
source presentation source |
12 |
| PHUSE EU |
2025 |
Turbocharge Your Trials: Transform CRF Creation and the CDISC standardization process with Xbiom's Smart Metadata Repository and AI/ML Integrations |
Harinarayanan Gopichandran |
source presentation source |
8 |
| PHUSE EU |
2025 |
Turning Data into Deliverables: Automating Biometrics from Metadata to TFLs |
Inderjeet Arora |
source presentation source |
9 |
| PHUSE EU |
2025 |
Visualising the Invisible: Patient Journey with Waterfall, Spider and Swimmer Plots |
Varsha Mithun Patil, Sunita Poojary |
source presentation source |
14 |
| SESUG |
2025 |
SAS and R in Action: Comparison of XPT File Creation |
Chen Ling |
|
7 |
| PharmaSUG |
2025 |
An End-to-End Workflow for TFL Generation using R: MMRM Applications and Comparative Insights with SAS |
Kai Lei, Jiaqiang Zhu, Margaret Huang |
source |
14 |
| PharmaSUG |
2025 |
Building Robust R Workflows: Renv for Version Control and Environment Reproducibility |
Junze Zhang, Joshua J. Cook |
source |
17 |
| PharmaSUG |
2025 |
Decoding the Role of Statistical Programming - A Decade of Keytruda Submissions and Approvals |
Mary N. Varughese, Hong Qi |
source |
8 |
| PharmaSUG |
2025 |
Hands-on Training: eTFL Portal & TFL Designer Community |
Bhavin Busa |
source |
8 |
| PharmaSUG |
2025 |
Harnessing AI & CDISC ARS for Effortless Statistical Reporting & CSR Writing |
Bhavin Busa, Navin Dedhia |
source |
10 |
| PharmaSUG |
2025 |
Leveraging Health Technology Assessment (HTA) for Market Access: A Statistical Programming Perspective on German HTA Submission |
Rachana Agarwal, Wendy Wang |
source |
5 |
| PharmaSUG |
2025 |
Navigating the transition of legacy processes for SDTM creation |
Jyothi Ketavarapu |
source |
5 |
| PharmaSUG |
2025 |
PDFs Done Right: The Statistical Programmer-s Guide to Flawless Regulatory Submissions |
Srivathsa Ravikiran, Sri Raghunadh Kakani |
source |
12 |
| PharmaSUG |
2025 |
Risk Mitigation Solution for Kaplan-Meier Plot in Drug Labeling |
Bingjun Wang, Jane X. Liao, Suhas R. Sanjee, Jeff Xia |
source |
13 |
| PharmaSUG |
2025 |
Slice, Dice, Analyze: Revolutionizing SDTM cuts with datacutr package |
Diego Madrigal Viquez |
source |
6 |
| PharmaSUG |
2025 |
Towards an Integrated Submission-Ready Data Pipeline: Unifying Compliance, Automation, and Open-Source Innovation |
Shivani Gupta, Bhavin Busa |
source |
5 |
| PharmaSUG |
2025 |
Transitioning External Clinical Studies to Internal: A Framework for Knowledge Transfer and Operational Excellence |
Chunqiu Xia, Hong (Lily) Zhang, Xiaohui Wang |
source |
6 |
| PharmaSUG |
2025 |
Understanding HIV: At-Risk Populations, Treatment, Prevention and Standardized Data Representation in HIV Studies |
Jyoti (Jo) Agarwal |
source |
12 |
| PharmaSUG |
2025 |
Zero to Hero: The Making of a Comprehensive R Shiny Figures App |
Yi Guo, Matthew Salzano, Nicholas Sun, Sean Healey |
source |
30 |
| PHUSE US |
2025 |
AI Ethical Considerations in Drug Development and Regulatory Review |
Tara Chavda, Qingying Ally Lu |
source presentation source |
5 |
| PHUSE US |
2025 |
Changes to the Job of a Statistical Programmer in the Pharmaceutical Industry |
James J. Kim |
source presentation source |
8 |
| PHUSE US |
2025 |
Collaborating on Standards: An Approach to Harmonizing Vaccine Regulatory Submissions |
Fred Bermont, Médéric Celle, Estella Sani, Erin Gnas, Jennifer Mastri, Leslie Morgan, Naila Musani, Ramana Setty, Sandra VanPelt Nguyen, Yun Zhang |
source presentation source |
8 |
| PHUSE US |
2025 |
Digital Health Technologies: Evolution, Insights and Future Directions [presentation] |
Vijay Pasapula |
source |
28 |
| PHUSE US |
2025 |
E2E R Submission from a Roche Oncology Study |
Jingyuan Chen, Hinal Patel |
source presentation source |
6 |
| PHUSE US |
2025 |
Efficient TFL Review within Statistical Programming - Using R and SAS |
Siddharth Kumar |
source presentation source |
8 |
| PHUSE US |
2025 |
eProtocol and the Promise of Automation |
Bill Qubeck, Suhas Giriraj |
source presentation source |
17 |
| PHUSE US |
2025 |
Evaluation of Open-Source Technologies in Clinical Trial Reporting |
Jaimin Patel |
source poster source |
7 |
| PHUSE US |
2025 |
Expediting the Regulatory Submission Process Through Automated Tools |
Manish Deole, Gautham Selvaraj |
source poster source |
4 |
| PHUSE US |
2025 |
From Application to Approval: Exploring the FDA's Review Process |
Kiran Bonda |
source presentation source |
4 |
| PHUSE US |
2025 |
Gen-AI for Statistical Reporting and Clinical Study Report (CSR) Writing |
Leveraging CDISC |
source presentation source |
10 |
| PHUSE US |
2025 |
Harnessing the Power of R Shiny in a GxP-Compliant and Validated Manner for Clinical Trial Use |
Sanyogeeta Andhale, Shilpa Sood |
source presentation source |
13 |
| PHUSE US |
2025 |
Implementation of a risk-governed, reproducible, and collaborative R workflow for Real World Evidence Projects |
Ting Shi |
source poster source |
8 |
| PHUSE US |
2025 |
Interactive Visualisation of Pooled Clinical Trial Safety Data |
Sara Bodach, Ling Zhang |
source presentation source |
7 |
| PHUSE US |
2025 |
Optimising AI Software for Automated Protection of Personal and Commercially Sensitive Data |
Honz Slipka |
source poster source |
7 |
| PHUSE US |
2025 |
Optimising Collaboration and Quality Control in Outsourced Statistical Programming |
Mukesh Patel, Nilesh Patel |
source presentation source |
7 |
| PHUSE US |
2025 |
Optimising Regulatory Submissions: The Role of eCTD, Real-World Evidence and AI |
Kishore Pothuri |
source presentation source |
5 |
| PHUSE US |
2025 |
Optimising SDTM and ADaM: Remediation Techniques for Data Accuracy |
Kishore Pothuri |
source presentation source |
10 |
| PHUSE US |
2025 |
Optimizing Development and Regulatory Submission of eSUB Package for Exposure-Response and PK/PD Analysis |
Saumilkumar Tripathi, Ephicacy Lifescience |
source presentation source |
10 |
| PHUSE US |
2025 |
R Consortium's R-Based Test Submission Package for FDA Evaluation: A Milestone and a New Frontier in R-Based Regulatory Submissions |
Joel Laxamana |
source poster source |
7 |
| PHUSE US |
2025 |
R Package Risk Assessment: Balancing Programmatic and Human Input |
Chelsea Dickens |
source presentation source |
4 |
| PHUSE US |
2025 |
Regulatory Challenges and Strategies for AI/ML-Enabled Medical Device (SaMD) Data Submission |
Shashikant Kumar, Mrityunjay Kumar |
source presentation source |
12 |
| PHUSE US |
2025 |
Risk.assessr: A Tool for Assessing and Mitigating Risks with Open-Source R Packages in Clinical Trials |
Andre Couturier, Edward Gillian |
source presentation source |
10 |
| PHUSE US |
2025 |
Solving real-world data (RWD) reliability challenges for use in regulatory decision-making |
Tasha Nagamine |
source presentation source |
5 |
| PHUSE US |
2025 |
Staying Out of the Ditch - How Governance Can Provide Your Team Guardrails |
Matt Tendler, Chris McSpiritt |
source presentation source |
5 |
| PHUSE US |
2025 |
The Development of the CDISC eTFL Portal To Support the Adoption and Implementation of the Analysis Result Standard |
Bess LeRoy, Bhavin Busa |
source presentation source |
8 |
| PHUSE US |
2025 |
The Olympics of Data Ingestions |
Cathryn Herbst |
source presentation source |
8 |
| PHUSE US |
2025 |
The Role of Quantitative Bias Analysis (QBA) in Ensuring the Reliability of Real-World Evidence (RWE) in Regulatory Submissions |
Brian Gillette, Tasha Nagamine |
source presentation source |
6 |
| PHUSE US |
2025 |
Turbocharge Your Trials: Transform CRF Creation and the CDISC standardization process with Xbiom's Smart Metadata Repository and AI/ML Integrations |
Harinarayanan Gopichandran |
source presentation source |
8 |
| PHUSE US |
2025 |
Using the USDM and Ensuring Governance and Traceability to unlock the potential of Real-World Data sources for regulatory submissions |
Berber Snoeijer |
source presentation source |
12 |
| PHUSE US |
2025 |
Wearable Technology: Enhancing Patient Monitoring and Real-World Evidence |
Bill Qubeck, Sridhar Vijendra |
source presentation source |
15 |
| PHUSE EU |
2024 |
Ensuring Governance and Traceability of RWD from Source to Regulatory Submission: Use Case |
Michael Kolzet, Berber Snoeijer |
source presentation source |
12 |
| PHUSE EU |
2024 |
The Development of the CDISC eTFL Portal to Support the Adoption and Implementation of the Analysis Results Standard |
Bess LeRoy, Bhavin Busa |
source presentation source |
8 |
| PHUSE EU |
2024 |
The R Journey to Submission |
Hinal Patel, Welwyn Garden |
source presentation source |
6 |
| PHUSE EU |
2024 |
The TransCelerate/CDISC Digital Data Flow Project: Practical Electronic Study Designs [presentation] |
David Iberson-Hurst |
source |
8 |
| PHUSE EU |
2024 |
{r}amnog: Towards a Common, Open-Source Solution for Programming AMNOG-Style EU-HTA Analyses |
Matthew Phelps, Christian Olsen |
source presentation source |
6 |
| WUSS |
2024 |
Will statistical programmers be replaced by Artificial Intelligence? [presentation] |
Junying Zhang |
source |
20 |
| PharmaSUG CN |
2024 |
Roche automated esub translation |
Joe Zhu, Xiaoli Duan, Siye Liu |
source |
3 |
| PharmaSUG |
2024 |
Cultivating Success with Non-standard Investigator-sponsored Trial Data for FDA Submissions |
Jai Deep Mittapalli, Jinit Mistry, Venkatesulu Salla |
source |
9 |
| PharmaSUG |
2024 |
Navigating Success: Exploring AI-Assisted Approaches in Predicting and Evaluating Outcome of Clinical Trials and Submissions |
Ruohan Wang, Chris Qin |
source |
9 |
| PharmaSUG |
2024 |
Optimizing Clinical Data Processes: Harnessing the Power of Metadata Repository (MDR) for Innovative Study Design (ISD) and Integrated Summary of Safety (ISS) / Efficacy (ISE) |
Lakshmi Mantha, Purvi Kalra, Arunateja Gottapu |
source |
9 |
| PharmaSUG |
2024 |
Piloting into the Future: Publicly available R-based Submissions to the FDA |
Benjamin Straub |
source |
9 |
| PHUSE US |
2024 |
Data Pipeline - Improving Cycle Time and Shifting Data Closer to Analytics |
Jayasree Ivaturi |
source presentation source |
6 |
| PHUSE US |
2024 |
Data Quality Evaluation of EHR FHIR API Real-World Data for FDA and Pharmaceutical Industry Use for Analysis and AI Implementation |
Sarah Ferko, Abhishek Pandey, Matthew Deady, Brian Goodness |
source presentation source |
10 |
| PHUSE US |
2024 |
Exploring the Potential Use of Generative AI in the Regulatory Review Process [presentation] |
Qingying Ally Lu, Kathryn Matto |
source |
19 |
| PHUSE US |
2024 |
Future Clinical Data Submission Standards: CDISC, FHIR, OMOP, or Hybrid Model |
Jeffrey M. Abolafia, Sarah Ferko, Ingeborg Holt |
source presentation source |
10 |
| PHUSE US |
2024 |
The Knowledge Graph - The Power of an Information Network driving Biometric workflows |
Nekzad Shroff, Jaya Simha Inampudi |
source presentation source |
3 |
| PHUSE US |
2024 |
Usage of OMOP-CDM along with CDISC in Clinical Trials: Challenges and Opportunities |
Parag Shiralkar |
source presentation source |
5 |
| PHUSE EU |
2023 |
Avoid Major Pitfalls When Using Real-World Evidence (RWE) in Regulatory Submissions |
Alex Ide, Mark Lambrecht |
source presentation source |
3 |
| PHUSE EU |
2023 |
Unleashing the Power of Large Language Models for Clinical Data Approaches: Will AI chatbots like ChatGPT/Bard replace statistical programmer and statisticians over time? |
Ercan Suekuer |
source presentation source |
9 |
| WUSS |
2023 |
Demystifying the define.xml: Overcoming the challenges of CRT Package. |
Yoganand Budumuru |
source |
10 |
| PharmaSUG |
2023 |
A utility to combine study outputs into all-in-one PDF for DSUR |
Wei Shao |
source |
8 |
| PharmaSUG |
2023 |
Auto-validation of SAS Macros through Regression Testing |
Madhu Annamalai, Umayal Annamalai |
source |
5 |
| PharmaSUG |
2023 |
Automated Mockup Table and Metadata Generator |
Jeff Cheng, Shunbing Zhao, Guowei Wu, Suhas R. Sanjee |
source |
12 |
| PharmaSUG |
2023 |
Consistency Checks Automation across Regulatory Submission Documents in the eCTD M5 folder |
Majdoub Haloui, Loganathan Ramasamy, Hemu Shere |
source |
8 |
| PharmaSUG |
2023 |
Key Statistical Programming Considerations in External Collaborative Clinical Trials |
James Zhao, Hong Qi, Mary N. Varughese |
source |
4 |
| PharmaSUG |
2023 |
Validating novel maraca plots - R and SAS love story |
Nicole Major, Srivathsa Ravikiran, Monika Huhn, Samvel Gasparyan, Martin Karpefors |
source |
17 |
| PHUSE US |
2023 |
Computerised Algorithm for Multiple Myeloma Response Assessments |
Mahesh Swaminathan |
source presentation source |
3 |
| PHUSE US |
2023 |
Innovate Clinical Trial Reporting with Open Source |
Soma Sekhar Sriadibhatla, Francis Kendall |
source presentation source |
4 |
| PHUSE US |
2023 |
Managing Deliverables in Oncology Basket Trials |
Hong Qi, Mary N. Varughese |
source presentation source |
6 |
| PHUSE US |
2023 |
Using Real-world Data and Synthetic Data to Predict Study Outcomes, Submission Performance and Market Effectiveness [presentation] |
Jose C. Lacal, Stuart Malcom |
source video |
15 |
| PHUSE US |
2023 |
Working Together: The Evolving Relationship of Biostatistics & Regulatory for Support of Study Data Standardization Plans and BIMO Reviewer's Guides |
David C. Izard |
source presentation source |
3 |
| PHUSE EU |
2022 |
Is Your Analytics Platform Ready for Handling Real-world Data for Regulatory-grade Real-world Evidence? |
William Kuan, Olivier Bouchard |
source presentation source |
7 |
| WUSS |
2022 |
A Statistical Programmer's Growth Journey: It is More than Learning New Code |
Janette Garner |
source |
6 |
| PharmaSUG |
2022 |
A SAS Macro to Aid Assembly Review of M5 Module in Submission |
Jeff Xia |
source |
5 |
| PharmaSUG |
2022 |
Just Say No to Data Listings! |
Mercidita Navarro, Nancy Brucken, Aiming Yang, Greg Ball |
source |
4 |
| PHUSE US |
2022 |
High-quality COVID Vaccine Submission at Lightning Speed [presentation] |
Helen Yang, Kiran Challagali |
source |
9 |
| PHUSE US |
2022 |
Introducing Reporting Packages in R for TFLs [presentation] |
Pavan Reddy, Thomas Kalfas |
source video |
12 |
| PHUSE US |
2022 |
Just Say No to Data Listings! [poster] |
Maria Dalton |
source |
1 |
| PHUSE US |
2022 |
Statistical Programming Operational Review Dashboard [presentation] |
Kathleen J. Harkins, Shuqi Zhao |
source video |
16 |
| PHUSE US |
2022 |
Staying Ahead of the Curve: The Future Direction of Modernization of Statistical Analytics (MSA) [presentation] |
Peter Mesenbrink |
source |
19 |
| PHUSE US |
2022 |
Using AI-based Technology to Accelerate Clinical Trial Data Sharing and Reuse [presentation] |
Ron Kaine, Thomasin Element |
source video |
33 |
| PHUSE EU |
2021 |
Methods and Challenges of R Validation for Regulatory Submission Analysis [presentation] |
Parvee Kumar |
source video |
14 |
| PHUSE EU |
2021 |
Standing Room Only: SA04: Diversity, Equity and Inclusion of Your Submission Package [presentation] |
Anne-Sophie Bekx |
source |
19 |
| PHUSE US |
2021 |
Generating .xpt files with SAS, R and Python [presentation] |
Todd Case |
source video |
22 |
| PHUSE US |
2021 |
Regulatory Update & Townhall [presentation] |
Ethan Chen |
source |
28 |
| PHUSE US |
2021 |
Statistical Programming Team Contributions to Registrational Clinical Research Collaborations (rCRCs) [poster] |
Norihiko Oharu, Yan Shen |
source |
1 |
| PHUSE US |
2021 |
Using Natural Language Processing to Create Subject Safety Narratives [presentation] |
Frank Meloni, Tim Willittes |
source video |
8 |
| PharmaSUG |
2021 |
A TransCelerate Initiative - how can you modernize your statistical environment? |
Vincent J. Amoruccio, Min Lee, Daniel Woodie |
source |
16 |
| PharmaSUG |
2021 |
Agile Project Management in Analysis and Reporting of Late Stage Clinical Trial |
Sarad Nepal, Uday Preetham Palukuru, Peikun Wu, Madhusudhan Ginnaram, Ruchitbhai Patel, Abhilash Chimbirithy |
source |
11 |
| PHUSE EU |
2020 |
Don't UnderMine the Value of Your CRF - with Perl Regular Expressions [presentation] |
John McDade |
source video |
22 |
| PHUSE EU |
2020 |
Improve Programming and Traceability with Datasets for Statistical Analysis Results |
Henning Pontoppidan Föh, Jeppe Juul |
source video presentation source |
4 |
| PHUSE EU |
2020 |
Innovation in Exploratory/Regulatory Clinical Trial Analyses [presentation] |
Tadeusz Lewandowski |
source video |
31 |
| PharmaSUG |
2020 |
Analysis Package e-Submission - Planning and Execution |
Abhilash Chimbirithy, Saigovind Chenna, Majdoub Haloui |
source |
8 |
| PharmaSUG |
2020 |
Supplementary Steps to Create a More Precise ADaM define.xml in Pinnacle 21 Enterprise |
Majdoub Haloui, Hong Qi |
source |
10 |
| PharmaSUG |
2020 |
SUPPQUAL Datasets: Good Bad and Ugly |
Sergiy Sirichenko |
source |
14 |
| PHUSE US |
2020 |
Automating Module 5 Packaging with Customizable Metadata |
Dhananjay Chhatre, Kevin Miller |
source presentation source |
6 |
| PHUSE US |
2020 |
Industry Experiences Submitting Standardized Study Data to Regulatory Authorities |
Janet Low, Vincent Guo |
source presentation source |
12 |
| PHUSE US |
2020 |
Let Us Trace Back to the Beginning from the End |
Madhusudhan Reddy Papasani, Swathi Kotla |
source presentation source |
12 |
| PHUSE US |
2020 |
Statistical Programming Team Contributions for RWE Regulatory Submissions |
Lin Gao, Norihiko Oharu |
source poster source |
1 |
| PHUSE US |
2020 |
SUPPQUAL Datasets: Good Bad and Ugly |
Sergiy Sirichenko, Blue Bell |
source presentation source |
13 |
| PHUSE US |
2020 |
The Misery of the Miscellaneous Folder in Module 5 |
Marguerite Kolb |
source presentation source |
8 |
| PHUSE EU |
2019 |
Utilising RWD and RWE: An Introduction to Core Concepts and Requirements |
Christopher C. Hurley, Aditya Gadiko |
source presentation source |
7 |
| SESUG |
2019 |
One Click to Analysis Results Metadata |
Srivathsa Ravikiran, Priscilla Gathoni |
source |
18 |
| WUSS |
2019 |
Python applications in SAS programming for medical device clinical trial studies |
Jianlin Li |
source |
7 |
| PharmaSUG |
2019 |
Updates on validation of ADaM data |
Sergiy Sirichenko |
source |
9 |
| PHUSE US |
2019 |
CDISC Doesn't Tell You What to Collect But Regulators Do! |
Diane Wold |
source presentation source |
4 |
| PHUSE US |
2019 |
Developing, Implementing and Governing End-to-End Standards at Gilead |
Dhananjay Chhatre |
source presentation source |
5 |
| PHUSE US |
2019 |
DR3 - A Tool to Create Define-XML (SDTM/ADaM with ARM) [presentation] |
Eric Weising |
source |
7 |
| PHUSE US |
2019 |
Machine-readable Data Not Required for the EMA...Really? |
David C. Izard |
source presentation source |
4 |
| PHUSE US |
2019 |
Send 3.1: Giving Your Submission a 'Vital' Upgrade |
Megan Bausman, Mikayla Simons |
source presentation source |
6 |
| PHUSE US |
2019 |
The Benefits, Challenges and Myths of SEND |
Bill Houser, Lou Ann Kramer |
source presentation source |
8 |
| PHUSE EU |
2018 |
The Role of a Project Programmer Within GSK |
Nadeem Gul, Sheetal Patel |
source presentation source |
6 |
| PHUSE EU |
2018 |
Updates on validation of ADaM data |
Max Kanevsky, Sergiy Sirichenko |
source presentation source |
7 |
| PHUSE US |
2018 |
Achieving Highest Quality and Usability of SEND through Industry and Regulatory Collaboration |
William Houser, Lou Ann Kramer |
source |
7 |
| PHUSE US |
2018 |
Qualitative Analysis of Actual SEND Datasets for Trial Design Domains [poster] |
G. Sato |
source |
1 |
| PHUSE US |
2018 |
Ready Set Go: Planning and Preparing a CDISC Submission |
Maria Dalton |
source presentation source |
11 |
| PharmaSUG |
2018 |
Mind Over Matter: Building an Army of Passionate Soldiers Dedicated to Saving Patients' Lives |
Shefalica Chand |
source |
10 |
| PHUSE EU |
2017 |
CDISC Transport Standards - A Glance |
Edwin Ponraj Thangarajan, Giri Balasubramanian |
source presentation source |
14 |
| PharmaSUG |
2017 |
Common Programming Errors in CDISC data |
Sergiy Sirichenko |
source |
9 |
| PharmaSUG |
2017 |
Good Data Validation Practice |
Sergiy Sirichenko, Max Kanevsky |
source |
10 |
| PHUSE EU |
2016 |
Planning for Data Reporting Processes for Submission: Key Considerations |
Parag Shiralkar |
source presentation source |
2 |
| PHUSE EU |
2016 |
What is high quality study metadata? |
Sergiy Sirichenko, Max Kanevsky |
source presentation source |
9 |
| PharmaSUG |
2016 |
Preparing Legacy Format Data for Submission to the FDA - When & Why Must I Do It, What Guidance Should I Follow? |
David C. Izard |
source |
11 |
| PharmaSUG |
2016 |
What is high quality study metadata? |
Sergiy Sirichenko, Max Kanevsky |
source |
9 |
| PHUSE EU |
2015 |
Constructing a Simple Data Repository [presentation] |
Magnus Mengelbier |
source |
19 |
| SESUG |
2015 |
Reporting of treatment emergent adverse events based on pooled data Analysis or Country Specific Submissions: A case study |
Sheetal Shiralkar |
source |
8 |
| PharmaSUG |
2015 |
Begin with the End in Mind - Using FDA Guidance Documents as Guideposts when Planning, Delivering and Archiving Clinical Trials |
David C. Izard |
source |
12 |
| PharmaSUG |
2015 |
The Most Common Issues in Submission Data |
Sergiy Sirichenko, Max Kanevsky |
source |
9 |
| PharmaSUG |
2015 |
Tips on Creating a Strategy for a CDISC Submission |
Rajkumar Sharma |
source |
5 |
| PHUSE EU |
2014 |
A Day in the Life of a Data Sharing Specialist [presentation] |
Kelly Mewes |
source |
29 |
| PHUSE EU |
2014 |
Models, Metadata and Messaging: Exploring Standards Governance in the CDISC Era |
Kenneth Stoltzfus |
source presentation source |
6 |
| PharmaSUG |
2014 |
Clinical Trial Data Integration: The Strategy, Benefits, and Logistics of Integrating Across a Compound |
Natalie Reynolds, Keith Hibbetts |
source |
12 |
| PharmaSUG |
2014 |
SAS as a Tool to Manage Growing SDTM+ Repository for Medical Device Studies |
Julia Yang |
source |
12 |
| PHUSE EU |
2013 |
ProjectTrackItL Automate your Project using SAS |
Abhishek Bakshi |
source presentation source |
9 |
| PHUSE EU |
2013 |
Standards for the Management of Clinical Trial Data, Why are they Needed, What is Needed? |
Isabelle Abousahl |
source presentation source |
11 |
| PharmaSUG |
2013 |
A Drug Safety Reporting System in SAS |
Yang Wang, Shawn Hopkins, Norm Fox, Raghu Kumbharathi, Tom Hunter |
source |
7 |
| PharmaSUG |
2012 |
"Analysis-ready" - Considerations, Implementations, and Real World Applications |
Ellen (Zihui) Lin, Beiying Ding |
source |
6 |
| PharmaSUG |
2012 |
Creating Define.pdf with SAS Version 9.3 ODS RTF |
Elizabeth Li, Carl Chesbrough |
source |
36 |
| PHUSE EU |
2010 |
Statistical Graphics for Review and Reporting in Clinical Development |
Kerstin Pietzko, Michael O'Connell |
source poster source |
12 |
| WUSS |
2008 |
Seven Steps to Regulatory Publication Style with PROC REPORT |
Dennis Gianneschi |
source |
6 |
| PharmaSUG |
2008 |
A regulatory submission "DEFINE"d: The who, where, and what |
Robby A. Diseker, Lindsay Dean |
|
9 |
| PharmaSUG |
2008 |
Cost-Effective Solution to Automating the Creation of CDISC define.xml: Using SAS Data _Null_ with Relational Data Model via SAS/AF Application |
Annie S. Guo |
|
12 |
| PharmaSUG |
2008 |
SDTM, Plus or Minus |
Barry R. Cohen |
|
6 |
| PharmaSUG |
2007 |
Automated Way to Develop Data Definition Document for Regulatory Submission |
Mustaq Ahmad |
|
11 |
| PharmaSUG |
2007 |
How to Migrate a Moving Target |
Paul B. Jarrett |
|
3 |
| PharmaSUG |
2007 |
Managing the CRO Relationship to Effectively Request and Receive CDISC STDM and ADaM Deliverables |
Kenneth Eng, David C. Izard, Terek J. Peterson |
|
8 |
| PharmaSUG |
2007 |
SDTM, Plus or Minus |
Barry R. Cohen |
|
6 |
| SGF |
2007 |
Navigating a Major Regulatory Submission Project to Success |
Alan Meier |
source |
6 |
| SGF |
2007 |
Seven Steps to Regulatory Publication Style with PROC REPORT |
Dennis Gianneschi |
source |
6 |
| NESUG |
2006 |
Developing and Managing a SAS Macro Library |
Carolyn Maass, Margaret James, Ginger Redner |
|
8 |
| PharmaSUG |
2006 |
Developing and Managing a SAS Macro Library |
Margaret James, Carolyn Maass, Ginger Redner |
|
7 |
| PharmaSUG |
2006 |
Perfecting the Publishing Process with SAS 9.1.3 |
P. Chris Holland |
|
12 |
| PHUSE EU |
2005 |
An Introduction to CDISC - What is CDISC and Why Standards? |
Laurie Rose, Becky Kush |
source |
41 |
| PHUSE EU |
2005 |
The Future of CDISC |
Becky Kush |
source |
50 |
| PharmaSUG |
2005 |
A Simple Solution for Managing the Validation of SAS Programs That Support Regulatory Submissions |
Tony Chang, Dana Soloff |
|
6 |
| PharmaSUG |
2005 |
To Macro or Not To Macro? |
Amy Gillespie, Blue Bell |
|
8 |
| PharmaSUG |
2004 |
Automation of Patient Narratives Using SAS and Analysis Datasets |
David C. Izard |
|
6 |
| PharmaSUG |
2004 |
Build Portable Structures and Programs for Electronic Regulatory Submissions |
Wei Cheng |
|
6 |
| NESUG |
2003 |
Overview of a Browser-Based Clinical Report Generation Tool |
Gregory T. Weber, Paul M. Gilbert |
|
6 |
| NESUG |
2002 |
Focusing on Our New Deliverables--CRT and Analysis Data Sets |
Phebe Joseph |
|
8 |
| PharmaSUG |
2002 |
Design Considerations Used to Develop Clinical Reporting Software |
Steven Light, Paul M. Gilbert |
|
4 |
| PharmaSUG |
2002 |
Preparing the SAS Software Programming Environment for Regulatory Submission |
Sunil Kumar Gupta |
|
10 |
| NESUG |
2001 |
Standards for Electronic Submissions to FDA |
Kay Obenshain |
|
3 |
| PharmaSUG |
2001 |
FDA Reviewers as Ultimate End Users: Using the SAS System to Construct e-Submissions that Actually Facilitate the NDA / BLA Review Process |
Rich Vachal |
|
6 |
| PharmaSUG |
2001 |
Standards for Electronic Submissions to FDA |
Kay Obenshain |
|
4 |
| SUGI |
2001 |
Preparing the SAS Software Programming Environment for Regulatory Submission |
Sunil Kumar Gupta |
source |
9 |
| NESUG |
2000 |
New Technology, New Opportunities: XML and SAS Automate Statistical Tables |
Michael C. Palmer, Cecilia A. Hale |
|
6 |
| SUGI |
2000 |
Preparing the SAS Software Programming Environment for Regulatory Submission |
Sunil Kumar Gupta |
source |
5 |
| PharmaSUG |
1998 |
Identifying and Reporting of Medically Serious Adverse Events: An Interactive Approach |
Anna Kunina, Palo Alto |
|
3 |
| SUGI |
1993 |
Facilitating Clinical Data Management and Regulatory Review in the Pharmaceutical Industry: A Manager's Perspective |
Randi Olsen McFarland |
source |
2 |