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Eli Lilly’s oral GLP-1 therapy, orforglipron, met all primary and key secondary endpoints in the Phase III ACHIEVE-2 and ACHIEVE-5 studies, showing significant A1C reduction, weight loss, and cardiovascular benefits compared to both dapagliflozin and placebo.

With global supply chains inherently vulnerable to trade policy shifts, the consequences for clinical research can be significant without proactive planning. The eight core elements of a tariff contingency plan are outlined.

Gain insight into why early toxicology readiness and strong scientific collaboration with CRO partners are critical to accelerating trial startup and regulatory approval.

How a strategic approach to the pre-investigational and investigational new drug application process can be used as a business and clinical catalyst.

Uncover how improving data accuracy and leveraging synthetic control arms can optimize trial efficiency, reduce costs, and generate stronger real-world insights.

Sustainability should be central to clinical trial design and considerate of how digital tools such as electronic clinical outcomes assessments can help achieve this.

Although DEI remains a core tenet in pharma, strategies and goals have been reframed to align with the evolving political climate.

To maximize the impact of signal detection, KRI frameworks should follow a few guiding principles.

Examine strategies for validating, monitoring, and safely deploying configurable AI agents to ensure compliance and performance in clinical trials.

An analysis of primary Phase II protocols paired with their Phase III pivotal trials spotlights the need to balance scientific curiosity with participant and site burden.

Why discussions with patients should go deeper than data-centered dialogues—and emphasize trust, personal connections, and community engagement to foster informed choices in public health.

Last week’s top stories explored how NIH’s shutdown plan is testing research resilience, why data infrastructure must precede AI adoption in 2025, and how sponsors are redefining outsourcing with hybrid resourcing models focused on flexibility, quality, and collaboration.

Ways to identify false certainty, or "errogance," during the clinical site start-up-to-launch process—and better ensure site readiness and prevention of costly errors.