What Lies Ahead for 2016: The DIA's Annual Report

As established gains in personalized and targeted therapy have enabled increasingly precise approaches to disease, novel technologies are expanding what is possible while creating new challenges for drug developers.

Exploring the emergence of agentic ecosystems in transforming data accessibility and ensuring reliable answers reach the people making decisions while there is still a choice to make.

A passing FDA inspection tells pharma senior leadership very little about whether the next significant revenue vulnerability is already taking shape. But continuous, AI-enabled quality management maturity (QMM) has the potential to do so months before the issue reaches the realm of P&L.

Why purpose is becoming the most important infrastructure in AI-driven health care technology.

Trialbee CEO Matt Walz explores the current impact of AI in delivering practical gains in clinical development and reflects on its future potential, where enrollment predictability may be the biggest prize of all.

The future of engagement won’t be defined by how much information reaches health care professionals, but by how precisely it supports the decision at hand.