| PHUSE US |
2026 |
Implementing AI in Authoring Plain Language Summaries: Insights from a Live Project Experience [presentation] |
Vidhi Vashisht |
source |
18 |
| PHUSE US |
2026 |
Integrating LLMs Using R Shiny for Clinical Data Review by Ensuring Data Privacy and Validity |
Peng Zhang |
source
presentation source |
5 |
| PHUSE US |
2026 |
Problem-First Agentic AI: Transforming Statistical Computing with Purposeful Automation |
Rajesh Hagalwadi |
source
presentation source |
8 |
| PHUSE EU |
2025 |
Becoming an Independent Consultant And Stepping into the Fourth Dimension |
Jean-Marc Ferran |
source
presentation source |
6 |
| PharmaSUG |
2025 |
Harnessing AI & CDISC ARS for Effortless Statistical Reporting & CSR Writing |
Bhavin Busa,
Navin Dedhia |
source |
10 |
| PharmaSUG |
2025 |
Navigating Compliance Excellence: ISO Standards & Data Privacy Implementation |
Ashwini Kanade,
Syamala Schoemperlen |
source |
15 |
| PHUSE US |
2025 |
Gen-AI for Statistical Reporting and Clinical Study Report (CSR) Writing |
Leveraging CDISC |
source
presentation source |
10 |
| PHUSE US |
2025 |
Intelligent Automation in Anonymisation for CTIS Submission |
Pinku Hooda,
Hiteshkumar Kanaiyalal Raval |
source
presentation source |
11 |
| PHUSE US |
2025 |
LLMs in Clinical Trials: Overcoming Challenges Related to Patient Confidentiality and Intellectual Property |
Amit Javkhedkar,
Samip Shah |
source
presentation source |
7 |
| PHUSE EU |
2024 |
Unlocking the Potential of Your Data with Retrieval-Augmented Generation (RAG) While Upholding Privacy: Use Cases with Business Impact at Roche |
Mathieu Cayssol,
Adam Forys |
source
presentation source |
6 |
| PharmaSUG |
2024 |
A fear of missing out and a fear of messing up : A Strategic Roadmap for ChatGPT Integration at Company Level |
Kevin Lee |
source |
4 |
| PharmaSUG |
2024 |
Facilitating Seamless SAS-to-R Transition in Clinical Data Analysis: A Finetuned LLM Approach |
Chaitanya Pradeep Repaka,
Santhosh Karra |
source |
6 |
| PHUSE US |
2024 |
A Privacy Methodology Toolkit to Improve Cross-Industry Clinical Data Reuse |
Patty Hegarty |
source
presentation source |
7 |
| PHUSE US |
2024 |
Bioinformatics Tools in Digital Health and Remote Monitoring |
Sugumaran Muthuraj,
Barath Baskaran |
source
presentation source |
7 |
| PHUSE US |
2024 |
Codeless Queries: Harnessing AI to Translate Clinical Trial Questions into Custom Listings Through Intuitive UI Interactions |
Aditya Gadiko |
source
presentation source |
7 |
| PHUSE EU |
2023 |
A Privacy Methodology Toolkit to Improve Cross-Industry Clinical Data Reuse |
Boris Grimm,
Diana Ye |
source
presentation source |
7 |
| PHUSE EU |
2023 |
Unlock Privacy-Sensitive Data with AI-Generated Synthetic Data |
Wim Kees Janssen |
source
presentation source |
6 |
| PHUSE US |
2023 |
Beyond k-anonymity for Clinical Trial Data Anonymisation [presentation] |
Parvee Kumar,
Diwakar Angra |
source
video |
17 |
| PHUSE EU |
2022 |
How Will Knowledge Graphs Improve Clinical Reporting Workflows? [presentation] |
Alexey Kuznetsov,
Jorine Putter |
source
video |
15 |
| PHUSE US |
2022 |
B Corp Accreditation in the Pharmaceutical Industry: What Is It and Why Is It Important for Business? [presentation] |
Andrew Horden,
Stuart McGuire |
source
video |
10 |
| PHUSE US |
2021 |
How Will Knowledge Graphs Improve Clinical Reporting Workflows? [presentation] |
Alexey Kuznetsov,
Jorine Putter |
source |
9 |
| PHUSE US |
2021 |
Software Demonstration: SD11: Streamline Your Quantitative Anonymization Process and Deliver Consistent Outputs for Every Disclosure Scenario [presentation] |
Stephen Doogan |
source |
8 |
| PHUSE US |
2021 |
The Journey to Responsible and Ethical AI [presentation] |
Shobhit Shrotriya |
source
video |
22 |
| PHUSE US |
2020 |
Recommendations for GDPR Compliancy by the PHUSE Data Transparency Working Group GDPR Project |
Arlene Coleman,
Shannon Labout |
source
poster source |
3 |
| SGF |
2019 |
Data Governance: Harder, Better, Faster, Stronger |
Vincent Rejany |
source |
18 |
| PharmaSUG |
2016 |
Practical Implications of Sharing Data: A Primer on Data Privacy, Anonymization, and De-Identification |
Gregory S. Barnes Nelson |
source |
23 |
| PHUSE EU |
2015 |
PHUSE De-identification Working Group: Providing identification Standards to CDISC Data Models |
Jean-Marc Ferran,
Khaled El Eman |
source
presentation source |
13 |
| PharmaSUG |
2015 |
PhUSE De-Identification Working Group: Providing De-Identification Standards to CDISC Data Models |
Jean-Marc Ferran,
Jacques Lanoue |
source |
8 |
| SGF |
2015 |
Practical Implications of Sharing Data: A Primer on Data Privacy, Anonymization, and De-Identification |
Gregory S. Barnes Nelson |
source |
23 |
| PHUSE EU |
2014 |
Data Transparency: Data De-identification and the Role of the Programmer [presentation] |
Jean-Marc Ferran |
source |
20 |
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