For years, the pharmaceutical industry has followed a familiar cycle: design a clinical trial, execute it, lock the database, analyze the results, and then wait for the next study to answer remaining questions. Wait for post-market surveillance to show real-world outcomes. Wait for regulators or payers to request more data before approving reimbursement. However, this…
For the last several years, artificial intelligence in life sciences has largely lived in innovation labs and pilot programs—valuable but often disconnected from the workflows that actually drive regulatory approvals, market access, and clinical decision-making. In 2026, that changes. Our first prediction from MadeAi & CapeStart’s 2026 outlook, developed with insights from Angeline Dhas, Head…
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…
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…
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…
At the ISPOR 2024 Conference in Atlanta, attending health economics and outcomes research (HEOR) professionals lamented the drudgery of systematic literature reviews (SLRs) as they envisioned the potential for generative artificial intelligence (GenAI) to fix it. With a single SLR estimated to take anywhere from six to 16 months to complete and cost an average…

