| PHUSE APAC |
2026 |
Optimising Few-Shot Prompting Strategies for Scalable and Reliable Enterprise AI Applications |
Varun Sethuraman, Avinash Patnaik |
source presentation source |
10 |
| PharmaSUG |
2025 |
Data management and biostatistics synergy: how to achieve and what can be expected |
Diana Avetisian |
source |
11 |
| PharmaSUG CN |
2024 |
Medical Coding with Large Language Models in the AI HI Paradigm |
Hao Chen, Xuejie Zhou, You Li |
source |
8 |
| PHUSE US |
2024 |
Large Language Models to Support RBM and Clinical Trial Development |
Sebastiaan Höppner, Laura Trotta |
source presentation source |
5 |
| PHUSE EU |
2022 |
The Integration Dilemma |
Angelo Tinazzi |
source video presentation source |
15 |
| SGF |
2021 |
Deep Learning to Classify Adverse Events from Patient Narratives [presentation] |
Qais Hatim, Tom Sabo |
source |
19 |
| PHUSE EU |
2020 |
AI-assisted Medical Coding [presentation] |
Christian S. Christensen, Thomas Ellebaek |
source video |
20 |
| PHUSE EU |
2017 |
An FDA Submission Experience Using the CDISC Standards |
Angelo Tinazzi, Cédric Marchand |
source presentation source |
15 |
| PHUSE EU |
2017 |
Patient-generated Health Data (Social Media) is a Potential Source of ADR Reporting |
Erwan Le Covec, Stéphane Chollet |
source presentation source |
14 |
| PHUSE EU |
2014 |
Looking for SDTM Migration Specialist |
Angelo Tinazzi |
source presentation source |
12 |
| PHUSE EU |
2013 |
of 7 |
Drug Groupings |
source presentation source |
7 |
| PharmaSUG |
2009 |
Medical Coding System for Clinical Trials - 21 CFR Part 11 Compliant SAS/AF Application |
Annie S. Guo |
|
12 |
| PharmaSUG |
2003 |
SAS and MedDRA - A Winning Combination A "Home Grown" application for the Medical Coding of Adverse Events with MedDRA |
Elaine Dempsey |
|
4 |