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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:
webinar

Which New LLM Is Better for Life Sciences? – CapeStart Exclusive Webinar On-Demand

WebinarAugust 13, 2025249Views0Likes0Comments
Missed our live session? Get the recording now! On July 11, 2025, CapeStart hosted a 30-minute webinar comparing three leading large language models—Gemini 2.5 Pro, GPT-o3, and Claude Sonnet 4—to see which performs best for screening, reasoning, and summarization in life sciences workflows. Designed for both technical leads and non-technical decision-makers, the session shared real-world…

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ROI of GenAI

How MadeAi™ Uses GenAI-Aided Review & AI as Reviewer to Beat Manual SLR Solutions

BlogAugust 6, 2025220Views0Likes0Comments
In today’s fast-paced life sciences environment, literature reviews are critical—but they’re also time-consuming, labor-intensive, and increasingly expected to support regulatory, HEOR, and market access submissions while maintaining full transparency and traceability.  While traditional platforms offer useful automation features, most are either rules-based classifiers or structured workflow tools, limiting their adaptability and explainability. That’s where MadeAi™ stands…

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Literature Review

How to Evaluate GenAI-enabled Literature Review Platforms: A Buyer’s Guide to Transparency, Accuracy, and Compliance

BlogJuly 23, 2025378Views0Likes0Comments
The rise of generative AI (GenAI) is transforming how life sciences organizations approach evidence synthesis, regulatory submissions, and market access activities. As literature review workflows become more complex—and timelines more compressed—life science professionals are increasingly turning to GenAI-enabled platforms to streamline systematic literature reviews (SLRs), reduce manual burden, and scale evidence synthesis. However, evaluating…

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Real Reviews

AI in Action: Real Results from Real Reviews

BlogJuly 16, 2025577Views0Likes0Comments
As the demands for faster, more accurate, and scalable literature reviews rise in life sciences, AI is no longer just a future promise—it’s a proven performance driver. Systematic literature review (SLR) teams, especially in HEOR and medical affairs, are adopting GenAI platforms not just for experimentation but to solve long-standing bottlenecks in screening, extraction, and…

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