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Unlocking Unstructured Health Data: Scaling eSource-Enabled Clinical Trials

Designing Engagement Solutions That Don’t Add to Site Workload

ACT Brief: Rethinking Site Support in 2026, GSK’s New Severe Asthma Approval, and Priority Review Momentum in Multiple Myeloma

FDA Approves GSK’s Exdensur for Severe Asthma Based on SWIFT Phase III Data

Rethinking Operational Models to Reduce Site Burden in 2026

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In today’s ACT Brief, we examine new survey data revealing what patients value most in remote clinical trials, break down Sanofi’s latest partnerships aimed at advancing Alzheimer’s and autoimmune therapies, and look at how AI-powered digital pathology is being integrated into oncology research through a new biopharma collaboration.

What Patients Want from Remote Trials: New Survey Data Reveals Preferences Around Usability, Trust, and Participation
New survey data show a strong patient preference for fully remote clinical trials, underscoring how convenience, intuitive technology, and FDA-cleared digital tools are reshaping enrollment and retention strategies as decentralized models become a lasting fixture in clinical research.

In today’s ACT Brief, we close out our McKinsey interview series with a look at how AI could transform clinical trials end to end, review new Phase III data supporting Gilead’s investigational HIV regimen, and examine an FDA approval that reshapes first-line treatment for HER2-positive metastatic breast cancer.

Learn how clinical operations leaders can build technology adoption, transform workflows, and cultivate digitally savvy talent to successfully implement AI across the entire clinical trial lifecycle.

Results from the Phase III ARTISTRY-2 study show that a fixed-dose combination of bictegravir and lenacapavir achieved non-inferior efficacy to Biktarvy in adults with HIV who switched therapy, supporting Gilead’s plans to advance the regimen toward regulatory submission alongside data from ARTISTRY-1.

In today’s ACT Brief, we look at new evidence showing how targeted training can build research readiness at community cancer centers, explore McKinsey’s view on how digital tools can make trials more patient-centric and geographically inclusive, and review new Phase III results that could reshape obesity and osteoarthritis treatment.

Discover how remote assessments, wearables, and digital technologies can decentralize data collection, reduce patient burden, and enable trials to reach more diverse and representative populations.

This pilot project evaluated whether targeted training could strengthen clinical research capacity at community cancer centers, improve readiness to conduct oncology trials, and support more inclusive patient enrollment by addressing barriers, building foundational skills, and increasing staff confidence in trial implementation.

In today’s ACT Brief, we examine new data on how AI is improving the accuracy and speed of COA localization, break down McKinsey’s perspective on why trials must expand beyond AMCs and into routine care settings, and highlight the FDA’s latest approval of a targeted biologic for generalized myasthenia gravis.

Explore how expanding clinical trials into community and nontraditional sites, simplifying protocols, and leveraging AI can broaden patient access and bridge the gap between real-world care and research.

New data show that applying AI to the migration of translated COAs into eCOA platforms can meaningfully reduce errors, accelerate localization workflows, and support broader global patient participation—while still relying on human reviewers to ensure linguistic precision and clinical integrity.

In today’s ACT Brief, we highlight new insights from McKinsey on where AI can meaningfully accelerate clinical development, break down the emerging design and regulatory forces reshaping obesity drug development, and examine why human-centered clinical guidance is becoming essential within an increasingly fragmented pharmacy system.

See how combining human oversight with AI insights improves protocol authorship, site selection, and monitoring strategies, delivering better decisions than AI-only or human-only approaches.

As highly effective anti-obesity therapies emerge and regulatory expectations evolve, sponsors are adopting innovative trial designs, addressing long-term weight maintenance, monitoring lean mass preservation, and preparing for expanded safety and demographic requirements that will define the next era of obesity R&D.

Explore how AI can optimize study design, speed patient recruitment, and streamline operational workflows to shorten development timelines and enhance trial efficiency.






















