Life Sciences

Artificial Intelligence | Data Management | Innovation
Matt Becker 0
Steps to building regulatory readiness for the next wave of clinical submissions

The regulatory submission process in life sciences is becoming less about assembling documents and more about proving trust. For years, submission readiness was largely treated as an end-stage operational milestone: finalize the analysis, validate the outputs and package everything for regulators. But that model is beginning to break down under

Artificial Intelligence | Innovation | Risk Management
Heather Hallett 0
From predicting risk to changing behavior: Rethinking medication adherence with agentic AI

Medication non‑adherence remains one of health care’s most persistent and expensive challenges. Across chronic conditions, only about half of patients take medications as prescribed, even when effective treatments are available. The consequences are significant: disease progression, avoidable hospitalizations, increased mortality, and hundreds of billions of dollars in preventable health care

Artificial Intelligence | SAS Events
Dan Starbuck 0
SAS Innovate 2026 Day 2: Where trusted AI meets real-world decisions

If Day 1 asked what organizations should scale with AI, Day 2 showed what that looks like when trusted technology, industry expertise and human judgment come together in the moments that matter. Day 2 of SAS Innovate 2026 moved quickly from vision to application. Across banking, health care and life

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