
Metrics & Benchmarks
Latest News

Quantifying the Financial Value of RBQM: Q&A with Sylviane de Viron, CluePoints, and Abigail Dirks, Tufts CSDD

The Design Flaws Trial Simulations Surface That Traditional Planning Misses

ACT Brief: AI Expands Endpoint Options, CRO Oversight Documentation, and Kidney Cancer Approval

Sponsor Oversight in an Outsourced Trial: What Good Looks Like and How to Evidence It

How AI Is Changing Endpoint Selection Before a Trial Even Starts

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In today's ACT Brief, we examine what patient-site relationships need beyond easier technology, how to build defensible rare disease evidence from scratch, and how real-world data and AI improve enrollment screening accuracy.

In rare disease drug development where no registry or natural history dataset exists, real-world evidence quality depends on treating evidence engineering as a design-stage decision, defining intended regulatory use and standardizing endpoints, harmonization, and data provenance upfront rather than reconciling gaps after collection.

In this Q&A, Andrea Valente, CEO of uMotif, discusses what it takes to build genuine trust between patients and sites, why making technology easier to use isn't the same as making patient-site interaction more effective, and where the industry is still falling short in its push toward patient-centered trial design.

In today's ACT Brief, we examine why defensible trial data depends on traceability and platform ownership, what CGT site readiness requires as therapy moves to community care, and why data harmonization is AI's primary bottleneck.

Cell and gene therapy access expands into community care settings only when operational coordination, site readiness, and supply chain standardization become first-order priorities equivalent to manufacturing capacity, requiring standardized processes, digital integration, and distributed logistics networks.

In this episode of Beyond Compliance, Otis Johnson, PhD, MPA, founder and principal consultant at Vantix Operations, speaks with Cecilia Xi, PhD, VP of clinical and scientific affairs at Vivalink, about why defensible trial data depends on traceability, platform ownership, and device strategy long after a study ends.

In today's ACT Brief, we examine understanding the patient journey from end to end, whether decentralization reduces site burden or just shifts it, and why nine European drugmakers are sounding urgent alarms.

Decentralized trial models have demonstrated real gains in enrollment performance and patient access, but operational switching costs, fragmented technology stacks, and unresolved gaps in the patient-site relationship raise a question the industry has been slow to confront directly.

In a video interview prior to the 2026 DPHARM conference, Andrea Valente, CEO of uMotif, explains why truly understanding the patient journey from beginning to end—and building that understanding into both study design and data collection tools—remains one of the industry's most important unfinished tasks.

In today's ACT Brief, we examine technology's real role in patient-site collaboration, why AI pilot failures stem from organization not innovation, and Novo's weight-loss drug results in competitive comparison.

Most AI pilots in drug development fail not from poor technology but from lack of strategic prioritization, organizational readiness, integrated data infrastructure, and disciplined governance, making success dependent on business discipline rather than technical capability.

In a video interview prior to the 2026 DPHARM conference, Andrea Valente, CEO of uMotif, explains why the real technology challenge isn't usability alone—it's making it easier for patients and sites to interact more effectively with each other.

In today's ACT Brief, we examine what patient-site relationships need most at DPHARM, how platform-based AI scales across workflows, and FDA's approval of a gene therapy for a rare childhood syndrome.

In a video interview prior to the 2026 DPHARM conference, Andrea Valente, CEO of uMotif, shares what she expects to be at the center of the conversation—from building trust between patients and sites to where AI may and may not have a role in that relationship.

A platform-based approach connects AI across workflows, data and governance, helping life sciences organizations move from isolated wins to real scale.























