Beyond Imitation: Selecting Synthetic Data with Purpose and Precision
Source category: Advanced Statistical Methods
Author collections: Sundaresh Sankaran · Pritesh Desai · Sherrine Eid
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Sundaresh Sankaran — Indexed Papers
Publications credited to Sundaresh Sankaran in the available conference metadata. Browse coauthors and original source links below. This is a publication index, not a verified biographical profile; identical names may refer to different people.
16 papers · Showing 1–16
Challenges and Solutions for Generating Synthetic CDISC Data
Source category: Emerging Trends & Innovation
Author collections: Sundaresh Sankaran · Cat Briggs
Chatting with Your Data, Wherever It Lives: Unlock Insights through Duck DB and Open File Formats
Source category: Emerging Technologies (R, Python, GitHub etc.)
Author collections: Sundaresh Sankaran · Mary Dolegowski
Protocol Analysis, Optimisation and Generation: Artificial Intelligence Enables a Unified View
Source category: AI in Pharma, Biotech and Clinical Data Science
Author collections: Sundaresh Sankaran · Sherrine Eid
Building Extensible Python Classes for Analysis and Research : It’s Easier Than You Think!
Source category: R, Python, and Open Source Technologies
Author collections: Sundaresh Sankaran · Samiul Haque
Incorporating LLMs into SAS Workflows
Source category: Artificial Intelligence and Machine Learning
Author collections: Samiul Haque · Sundaresh Sankaran
Productive Safety Signal Detection and Analysis using In-context Learning
Source category: Artificial Intelligence and Machine Learning
Author collections: Sundaresh Sankaran · Samiul Haque · Sherrine Eid
Revolutionising Clinical Trials with Intelligent Protocol Automation
Source category: Machine Learning, AI and Large Language Models
Author collections: Pankaj Attri · Sundaresh Sankaran
Synthetic Data Generation: A Process Paradigm
Source category: Analytics & Statistics
Author collections: Sundaresh Sankaran
Three Pointers for Effective and Accurate LLM Integration!
Source category: Machine Learning, AI and Large Language Models
Author collections: Sundaresh Sankaran · Sherrine Eid
You don’t have to handle the truth! Three Things to Know about Synthetic Data
Source category: Real World Evidence and Big Data
Author collections: Catherine Briggs · Robert Collins · Sundaresh Sankaran
A Larger Tent – Integrating Multiple Open-Source Environments in SAS
Source category: Software Demonstrations
Author collections: Sundaresh Sankaran · Samiul Haque
Evaluating Safety Compliance in Clinical Trials by Leveraging Patient Narratives and Deep Learning
Source category: Emerging Trends
Author collections: Sherrine Eid · Sundaresh Sankaran
Safety Signals from Patient Narratives PLUS: Augmenting Artificial Intelligence to Enhance Generative AI Value
Source category: Solution Development
Author collections: Sherrine Eid · Sundaresh Sankaran
Bringing it All Together: Applying the Analytics Life Cycle for Natural Language Processing to Life Sciences
Source category: Solution Development
Author collections: Sundaresh Sankaran · Tom Sabo
Deep Learning to Classify Adverse Events from Patient Narratives
Source category: Statistics and Analytics
Author collections: Tom Sabo · Sundaresh Sankaran · Qais Hatim