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NouStarX
Tulane University

The Next-Gen Gold Standard: Can AI-Augmented Evidence Synthesis Surpass Traditional SLR?

How Pharma Teams Can Evaluate AI-Assisted LR Tools: Methodology, Benchmark Studies, and Real-World Cases.

Friday, April 17, 2026

12:00 – 1:00 PM EST

Live panel with industry & academic experts
Real-world case studies from pharma teams
Interactive Q&A session

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Moderator

Mei Yang

Mei Yang, PhD

NouStarX

Speakers

Meet the Panelists

Song Wang, PhD

Song Wang, PhD

Takeda

Wayne Su

Wayne Su

Jazz Pharmaceuticals

Xiaoyan Wang, PhD

Xiaoyan Wang, PhD

Tulane University / NouStarX

Lizheng Shi, PhD

Lizheng Shi, PhD

Tulane University

Schedule

Agenda

0:00 – 0:05

Welcome & Introduction

Moderator: Mei Yang

0:05 – 0:15

Methodology for evaluating AI-assisted SLR tools

Speaker: Song Wang

0:15 – 0:25

Benchmarking AI-augmented vs traditional SLR

Speaker: Wayne Su

0:25 – 0:35

Technology architecture and success factors for AI-SLR

Speaker: Xiaoyan Wang

0:35 – 0:45

Rethinking the gold standard: why the research community should re-evaluate human-only evidence synthesis

Speaker: Lizheng Shi

0:45 – 1:00

Panel Discussion & Audience Q&A

All Panelists