Insights
Connecting the Patient Story: From Fragmented Data to Meaningful Insight
Depression, Anxiety, and Type 1 Diabetes: What Real-World Data Reveals About a Hidden Risk Factor
For patients with type 1 diabetes (T1D), managing blood sugar is already a constant, demanding task. What happens to that management when a patient also develops depression or anxiety? Surprisingly, real-world evidence on this question has been limited, largely because the data needed to answer…
“Built for Decisions, Not Demos”: A Q&A with Kris Kaneta on Norstella Atlas
Norstella has announced the launch of Atlas, an agentic AI platform designed to support the teams tasked with making pharma’s most important decisions. It’s a critical component of Norstella’s approach to serving customers, so we caught up with Kris Kaneta, Chief Product & Innovation Officer…
What Happens When Patients Stop Taking Antidepressants? Here’s What Real-World Data Shows
Antidepressant use in the U.S. has been climbing for years, and so has the length of time patients stay on these medications. That trend recently became a flashpoint: In May 2026, HHS Secretary Robert F. Kennedy Jr. announced a plan aimed at curbing what he…
The AI Productivity Paradox: What’s Holding Pharma Back from Reaching More Patients?
The AI narrative in life sciences has been relentlessly optimistic. More data. Smarter models. Faster insights. And yet the actual output, therapies reaching patients, hasn’t improved at the same speed. If anything, the industry has gotten less productive during the AI era. Why? Because AI…
Graph Intelligence: The Hidden Power of Clinical Trial Comparisons and Knowledge Discovery
A key challenge in clinical trial design is benchmarking and identifying similar trials to enhance trial feasibility and likelihood of success. This requires navigating fragmented, heterogeneous data sources: protocols, registries, and internal assets. Manual approaches are slow, inconsistent, and error prone. What is a Clinical…
