| PHUSE EU |
2025 |
From Static Archives to Analytical Intelligence: Transforming Statistical Analysis Value Through Standardization |
|
source presentation source |
8 |
| PHUSE US |
2025 |
The Best of Both Worlds: Machine Learning and Human-in-the-Loop Processing in TFl Design, Production and Validation |
Steve Ross |
source presentation source |
6 |
| PHUSE EU |
2024 |
Verify: Facilitating End-to-End Automation of Clinical Validation Processes Using AI Algorithms and Dynamic Collaboration |
|
source presentation source |
3 |
| PharmaSUG |
2024 |
AI and the Clinical Trial Validation Process - Paving a Rocky Road |
Steve Ross |
source |
7 |
| PharmaSUG |
2023 |
Exploring the use of AI-based image recognition and Machine Learning to Improve the Efficiency and Accuracy of TLFs Validation Process. |
Mor Ram-On |
source |
5 |
| PharmaSUG |
2023 |
Revolutionizing Statistical Outputs Validation: a Product Demonstration of Verify, an ML-powered Automation Solution Streamlining the Validation Process |
|
source |
11 |
| PHUSE US |
2023 |
Validation of Statistical Outputs Using Automation [poster] |
|
source |
1 |
| PharmaSUG |
2022 |
Data Mining of Tables: The Barrier for Automation |
|
source |
6 |
| PharmaSUG |
2022 |
The Emerging Use of Automation to Address the Challenge of Cross-Table Consistency Checking of Output Used in the Reporting of Clinical Trial Data |
Keren Mayorov, Hugh Donovan |
source |
6 |
| PharmaSUG |
2022 |
Validation of Statistical Outputs Using Automation |
Yoran Bar |
source |
6 |
| PHUSE US |
2022 |
'Verify Outputs' Product Demonstration: Validation of Statistical Outputs Using Automation [presentation] |
Yoran Bar |
source video |
17 |
| PHUSE US |
2022 |
Table Mining: The Barrier for Automation [presentation] |
Mor Ram-On |
source |
16 |
| PHUSE US |
2021 |
Data Science Presentations: DSc01: How Automation Using Machine Learning Technology Can Overcome the Limitations of Double Programming [presentation] |
Hugh Donovan |
source |
18 |