| PHUSE US |
2026 |
Breaking into Statistical Programming: How SAS, R, Python, AI and ML Are Shaping Career Paths |
|
source presentation source |
6 |
| PHUSE US |
2026 |
From Legacy to ISS/ISE: Real-World Lessons in Module 5 Submissions |
Ajay Gunda |
source presentation source |
5 |
| PHUSE US |
2025 |
"Will AI Render Programmers Obsolete?" |
Ajay Gunda |
source |
5 |
| PHUSE US |
2025 |
Optimising Regulatory Submissions: The Role of eCTD, Real-World Evidence and AI |
|
source presentation source |
5 |
| PHUSE US |
2025 |
Optimising SDTM and ADaM: Remediation Techniques for Data Accuracy |
|
source presentation source |
10 |
| PHUSE US |
2022 |
Trial Summary SDTM Domain Made Easy for Regulatory Submissions [presentation] |
|
source |
16 |
| PHUSE US |
2021 |
FDA & PMDA Validator Rules - What, Why and How ... But Should You Care? [presentation] |
Charanjit Kahlon |
source video |
21 |
| PHUSE US |
2020 |
Case Study: Integrated SDTM to Integrated ADaM to TLFs |
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source presentation source |
6 |
| PHUSE US |
2019 |
Optimizing Over Time Plots Via Analytics |
Mayank Choudhary |
source poster source |
5 |
| PHUSE US |
2018 |
Insights to Meticulous Clean Patient Tracking via Analytics |
Siddartha Kondapally |
source |
4 |
| PHUSE US |
2018 |
Want Submission-Ready Datasets Package from the Get-Go? |
Bhavin Busa |
source |
7 |
| PharmaSUG |
2018 |
Insights to Meticulous Clean Patient Tracking via Analytics |
Siddartha Kondapally, Bhavin Busa |
source |
4 |
| PharmaSUG |
2018 |
The Changing Clinical Data Analytics Landscape - Visualization & Beyond |
Siddartha Kondapally, Bhavin Busa |
source |
6 |
| PharmaSUG |
2018 |
Want Submission-Ready Datasets Package from the Get-Go? |
Bhavin Busa |
source |
8 |
| PharmaSUG |
2016 |
Building Efficiency and Quality in SDTM Development Cycle |
Bhavin Busa |
source |
6 |