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Literature Review

Literature Reviews: How AI is Revolutionizing Systematic Research

In an era where scientific publications double every nine years and over 2.5 million new research papers are published each year, keeping your literature review up to date is nearly impossible. Enter the Living Literature Review, a significant shift that turns static research snapshots into continually evolving knowledge ecosystems. Why Traditional Literature Reviews Are Becoming…

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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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FDA Literature Review

FDA Literature Review Requirements: Leveraging AI into Your Literature Review Strategy

Understanding FDA Literature Review Requirements The FDA requires literature reviews to ensure that regulatory decisions are based on solid scientific evidence. This isn't just about compiling papers; it's about systematically searching, appraising, and synthesizing published data to demonstrate safety, efficacy, and compliance. These requirements span multiple domains, from drug approvals to medical devices and health…

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Real-Life Science

From Idea to Impact: AI Use Cases That Delivered Real-Life Sciences Business Results

Introduction Artificial Intelligence is redefining healthcare and life sciences. From improving patient care to accelerating drug discovery, AI is proving to be more than just a technological trend; it’s a critical enabler of innovation and efficiency. In this article, we explore real-world AI applications in clinical studies, pharmacovigilance, diagnostics, and medical operations. These use cases…

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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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