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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:
Living systematic literature review

How AI and Living SLRs Can Power Dynamic JCA Evidence Mapping

Blog3 days ago49Views0Likes0Comments
Living Literature Review and JCA: An Overview A living systematic literature review (SLR) is a critical asset for health technology developers facing the new operational reality under the European Union Health Technology Assessment Regulation. Joint Clinical Assessments (JCAs) demand comprehensive, transparent, and up-to-date clinical evidence packages that address multiple Population, Intervention, Comparator, and Outcome (PICO)…

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Fierce AI Innovation Award

MadeAi™ Named Winner of 2026 Fierce AI Innovation Award for Medical Affairs

MadeAi Press Release4 days ago54Views0Likes0Comments
Recognition highlights MadeAi’s use of AI to accelerate evidence generation while maintaining the scientific rigor, traceability, and human oversight required in life sciences Cambridge, MA—September 10, 2026—MadeAi, the AI-enabled evidence synthesis provider for life sciences, today announced that it has been named the winner of the 2026 Fierce AI Innovation Award for AI Innovation in…

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future of medical information

The Future of Medical Information Begins with the Agentic Shift in Systematic Literature Review

Blog4 days ago62Views0Likes0Comments
Medical Information and the Agentic Shift The future of medical information depends on how effectively life sciences organizations can synthesize the rapidly expanding body of scientific evidence. Systematic literature reviews (SLRs) remain the foundation of evidence-based decisions in HEOR, medical affairs, market access, and regulatory submissions. Traditional methods, however, struggle under growing publication volume, tighter…

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MadeAi | Beyond Real-World Data: Synthetic Data in Evidence Generation

Beyond Real-World Data: Synthetic Data in Evidence Generation

White PaperAugust 28, 202631Views0Likes0Comments
Evidence generation increasingly depends on real-world data, but access delays, sparse populations, limited comparators, and privacy constraints can leave critical evidence questions unanswered. Synthetic data offers a way to reduce these barriers by creating statistically representative datasets that support faster analysis, testing, collaboration, and bias assessment. Its value, however, depends on rigorous validation, clear governance,…

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