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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:
AI-Powered Evidence Generation Using Real-World Data

AI-Powered Evidence Generation Using Real-World Data

BlogAugust 20, 202645Views0Likes0Comments
Overview Real-World Data (RWD) to Real-World Evidence (RWE) conversion stands at the center of modern life-sciences decision-making. Randomized controlled trials remain essential for establishing causality under controlled conditions, yet they leave gaps in understanding how treatments perform across diverse patients, care settings, and longer time horizons. RWD, drawn from electronic health records, claims, registries, wearables,…

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MadeAi Wins Gold Stevie Award

MadeAi™ Wins Gold Stevie® Award in 2026 International Business Awards®

MadeAi Press ReleaseAugust 19, 202655Views0Likes0Comments
Newest version of MadeAi™ hailed by judges as “an impressive application of governed AI to a complex and highly regulated life-sciences workflow”  Cambridge, MA, August 19, 2026—MadeAi™, a purpose-built AI platform for evidence synthesis in regulated life sciences, announced that its updated platform was a winner of a Gold Stevie® Award in The 23rd Annual…

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AI vs Traditional Systematic Literature

AI-Assisted vs. Traditional Systematic Literature Reviews: A Comparative Analysis

BlogAugust 18, 202652Views0Likes0Comments
Overview AI vs. traditional systematic literature reviews (SLRs) is a question evidence teams now face daily, not just in academic debate. An SLR is a structured process for reviewing available research on a defined question. It includes identifying, screening, appraising, and synthesizing relevant studies. It follows a pre-registered protocol, such as the one described in…

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Future of Systematic Literature Reviews

The Future of Systematic Literature Reviews is AI-Assisted, Not AI-Automated

BlogAugust 13, 202654Views0Likes0Comments
Overview The future of Systematic Literature Reviews (SLRs) depends on thoughtful integration of technology rather than complete replacement of expert judgment. SLRs remain the foundation for reliable evidence synthesis across healthcare, technology assessment, and policy. The volume of published studies continues to expand, placing heavy demands on research teams that must deliver timely, transparent, and…

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The Hidden Cost of Manual Literature Reviews, and How AI Changes the Math

The Hidden Cost of Manual Literature Reviews, and How AI Changes the Math

BlogAugust 11, 202648Views0Likes0Comments
What Manual Literature Reviews Cost, and Where the Money Goes Manual systematic literature reviews remain the backbone of evidence-based decisions in healthcare, policy, and research. Teams follow strict protocols, search multiple databases, screen thousands of records, extract data by hand, and synthesize findings. The method delivers high-quality results. Yet the true price of this work…

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