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Rare Disease

Why Social Listening Matters in Rare Diseases

Understanding patient burden and unmet needs has always been essential in healthcare. But for rare diseases research, it is absolutely critical. When patient populations are small, heterogeneous, and often underserved, every insight carries weight. Yet traditional data sources—clinical trials, claims data, registries, and surveys—often fall short of capturing the lived reality of patients and caregivers…

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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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Real Reviews

AI in Action: Real Results from Real Reviews

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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