Though many organizations see the value of AI in literature reviews and evidence generation, not all can adopt AI in the same way. Some teams are ready for a web-based SaaS solution. While others, especially large pharma and regulated enterprises, face internal AI policy barriers, data residency requirements, and IT constraints that make SaaS adoption…
GLASGOW, SCOTLAND and CAMBRIDGE, MA, USA November 10, 2025—At ISPOR Europe 2025 today, MadeAi™, the GenAI-powered evidence synthesis and report generation platform for life sciences, announced the launch of new capabilities designed to streamline and accelerate global value dossier (GVD) and Joint Clinical Assessment (JCA) submissions. With these advancements, MadeAi delivers the most comprehensive, AI-native…
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…
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…
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™…
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…
