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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.

98 articles published Follow:
The AI Evaluation Problem in Evidence Synthesis

The AI Evaluation Problem in Evidence Synthesis

BlogJune 3, 2026147Views0Likes0Comments
Why the Industry is Testing the Wrong Thing The life sciences industry faces a growing paradox: organizations are investing heavily in AI, yet many evaluation methods fail to measure how these systems actually perform in real-world evidence synthesis workflows. Every week, new evaluations emerge, and task forces publish guidelines. Academic papers rank AI tools. Organizations…

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How do you prepare a Clinical Evaluation Report (CER) without spending months on literature review and evidence synthesis

How MadeAi Accelerated Clinical Evaluation Report Development Through AI-Assisted Literature Review

Case StudyJune 2, 2026100Views0Likes0Comments
How do you prepare a Clinical Evaluation Report (CER) without spending months on literature review and evidence synthesis? In this case study, MadeAi partnered with a medical device regulatory team to conduct a systematic literature review aligned with MDR and MEDDEV requirements. The team searched multiple databases, screened studies, extracted key evidence, and generated structured…

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Rethinking AI Assessment in Evidence Synthesis

Rethinking AI Assessment in Evidence Synthesis: A System-Level Framework for Rigorous Evaluation

White PaperMay 22, 202684Views0Likes0Comments
AI adoption in evidence synthesis often stalls when traceability, governance, and real-world validation requirements enter the picture. Most evaluations still focus on isolated models instead of the full systems used in regulated workflows. AI embeds human validation, workflow orchestration, auditability, and governance throughout the evidence-synthesis process, helping organizations build defensible, production-ready workflows. Download Rethinking…

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systematic-literature-review-process

How to Do an AI-Assisted Systematic Literature Review: A Step-by-Step Guide

BlogMay 14, 2026187Views0Likes0Comments
The Systematic Literature Review Definition: Systematic Literature Review (SLR) is a rigorous, structured, and transparent process of identifying, analyzing, and synthesizing all existing research on a clearly defined question or topic, providing a comprehensive summary and critical evaluation of the evidence. If you’ve ever tried to pull together evidence for a big research question, you’ll know…

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madeai-spring-2026

MadeAi Highlights – Spring 2026

WebinarMay 12, 2026126Views0Likes0Comments
Watch the MadeAi Spring 2026 Highlights video now! Check out MadeAi’s exclusive Spring 2026 Highlights video featuring our CMO Meghan Oates-Zalesky and Head of Product Angeline Dhas, showcasing the latest AI-native capabilities shaping the future of evidence generation in life sciences. See how organizations are embracing AI-driven solutions from literature review and regulatory submissions to…

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