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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.

80 articles published Follow:
SLR vs Meta Analysis

Systematic Literature Review vs. Meta-Analysis: Choosing the Right Approach

SLR vs. Meta-Analysis: An Overview You've just received a research question from your stakeholders. They want to understand the effectiveness of a new therapeutic intervention across the published literature. Naturally, your next thought is: should we conduct a systematic literature review (SLR) or a meta-analysis? In healthcare and life sciences, this question sits at the…

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Accelerating EU MDR Clinical Evaluation Reports Through AI-Assisted Systematic Literature Review

Accelerating EU MDR Clinical Evaluation Reports Through AI-Assisted Systematic Literature Review

How do you prepare Clinical Evaluation Reports (CERs) without spending months reviewing clinical literature? In this case study, MadeAi partnered with a medical device manufacturer to conduct systematic literature reviews supporting Clinical Evaluation Reports (CERs) for three vascular devices. Using AI-assisted search, explainable screening, structured data extraction, and SME validation, the team generated submission-ready clinical…

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How-AI-is-Transforming-Literature-Reviews-into-Drug-Repurposing-Opportunities

How AI is Transforming Literature Reviews into Drug Repurposing Opportunities

Drug repurposing has the potential to deliver new therapies faster and at a fraction of the cost of traditional drug development. However, identifying meaningful opportunities remains difficult, with valuable signals often hidden across thousands of research publications. MadeAi combines AI-powered literature review with expert human validation to accelerate evidence synthesis while maintaining transparency, accuracy, and…

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How-MadeAi-Accelerated-PSUR-Evidence-Generation-Through-AI-Assisted-Systematic-Literature-Review

How MadeAi Accelerated PSUR Evidence Generation Through AI-Assisted Systematic Literature Review

How do you prepare Periodic Safety Update Reports (PSURs) without spending months manually reviewing clinical literature and safety evidence? In this case study, MadeAi partnered with a medical device manufacturer to conduct a systematic literature review supporting PSUR requirements. Using AI-assisted screening, expert validation, and structured evidence extraction, the team streamlined the review process and…

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From-AI-Assisted Screening to Publication-Grade-Evidence-for-a-Global-HEOR-Team

From AI-Assisted Screening to Publication-Grade Evidence for a Global HEOR Team

How do you screen thousands of abstracts with transparency, reproducibility, and submission-ready outputs in a fraction of the time? In this case study, MadeAi partnered with a leading pharmaceutical HEOR team to design and validate an AI-powered pipeline for systematic literature review. Using a structured, PICO-based framework, the team screened thousands of records across multiple…

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