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Meghan Oates-Zalesky

Meghan Oates‑Zalesky is Chief Marketing Officer at CapeStart and MadeAi, with over 20 years of experience in healthcare technology and life sciences. Previously CMO at Apollo Intelligence, she helped grow the company from a small startup into a global enterprise. A PharmaVOICE Woman of Influence (2021), Meg’s thought leadership has appeared in leading industry publications. She holds degrees from Harvard and the London School of Economics and is a published novelist and avid equestrian.

106 articles published Follow:
J&J

Scaling Systematic Literature Review for Enterprise Evidence Operations

Case StudyOctober 1, 202658Views0Likes0Comments
How can pharmaceutical teams scale systematic literature reviews across therapeutic areas while maintaining accuracy and keeping evidence current? MadeAi partnered with a clinical team at a top 15 pharmaceutical manufacturer to deploy MadeAi-LR across ten therapeutic areas, supporting both internal teams and CRO partners. The platform achieved 90% accuracy and 40% time savings, while helping…

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Read the Unreadable

Read the Unreadable: AI-Native Evidence Synthesis from Forest Plots, Kaplan-Meier Curves, and Beyond

White PaperSeptember 30, 202676Views0Likes0Comments
Evidence synthesis often relies on quantitative data embedded in Kaplan-Meier curves, forest plots, and other scientific figures. Extracting this information manually can be time-intensive, inconsistent, and difficult to scale. AI-native approaches combine multimodal AI and computer vision to extract graphical evidence and transform it into structured, analysis-ready data. Their value depends on rigorous validation, governance,…

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Closing the Standards Gap

Closing the Standards Gap: Rethinking AI Evaluation Frameworks for HEOR Evidence Generation

WebinarSeptember 25, 202698Views0Likes0Comments
Missed our live session? Get the recording now! On September 23, 2026, MadeAi hosted a panel discussion bringing together experts across evidence generation, HEOR, market access, and AI to examine how AI should be evaluated in real-world evidence generation workflows. The session explores the growing gap between traditional AI evaluation frameworks and the complex systems…

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AI-Powered Quick Research

AI-Powered Quick Research: Scalable, Defensible Evidence Synthesis Before the Full SLR

BlogSeptember 23, 202678Views0Likes0Comments
The Need for AI-Powered Quick Research  AI-Powered Quick Research gives life sciences teams a faster way to explore and synthesize evidence while maintaining structure, traceability, and scientific rigor. Traditional systematic literature reviews (SLRs) remain the gold standard for high-stakes evidence in life sciences. However, they often take a long time, consume substantial resources, and struggle…

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