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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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ISPOR 2026_ Hereditary Angioedema Patient Burden – Social Media Analysis

ISPOR 2026: Hereditary Angioedema Patient Burden – Social Media Analysis

Hereditary Angioedema patient burden remains a significant challenge for those living with this rare, unpredictable condition, even as new treatments emerge. At MadeAi, we specialize in turning real-world patient conversations into actionable intelligence. Our latest social media listening analysis, presented at ISPOR USA 2026, reveals how HAE continues to affect daily lives while highlighting opportunities…

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AI in Evidence Generation

How HTA Agencies Are Evaluating AI in Evidence Generation

As AI rapidly reshapes the evidence landscape, health technology assessment (HTA) bodies are beginning to define clear expectations for its use in submissions. At CapeStart, we work closely with life sciences clients navigating these changes—especially those integrating GenAI into literature reviews, RWE generation, economic modeling, Joint Clinical Assessment (JCA) support, Clinical Evaluation Reports (CERs), Patient…

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ROI of GenAI

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

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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AI’s Biggest Wins

AI’s Biggest Wins: Three Core Business Areas Benefiting the Most

Across industries, businesses are turning to AI to address pressing challenges, drive innovation, and improve efficiency. According to CapeStart’s Life Science AI Research Report, organizations are increasingly identifying specific areas where AI can deliver the greatest value. By focusing on key business functions, companies aim to unlock new opportunities, streamline operations, and enhance their impact…

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