Authors

From Participation to Understanding: Reframing Engagement in Clinical Trials

Participant engagement depends more on clarity and understanding than on gamification or incentives, requiring engagement embedded into trial workflows as a core design component rather than a peripheral consideration

Women as the Missing Voice in Parkinson’s Disease

As Parkinson’s disease cases surge worldwide, growing evidence gaps around women’s biology, care access, and outcomes are driving new data-driven and digital strategies to advance sex-specific research and precision medicine.

Collaborative Strategies for Technology Integration in Clinical Studies

Addressing data integrity and compliance concerns.

Addressing Bias at the Start of Research with AI

Strategic AI applications are helping life sciences teams overcome hidden bias, accelerate data discovery, and improve evidence integrity at the start of the pipeline.

Unlock Commercial Growth through Data-Driven Patient and HCP Insights

Leveraging data-driven patient and healthcare provider (HCP) insights, including social drivers of health (SDOH), is essential for life sciences companies to continuously improve patient engagement and commercial success. Mark Rodgers, AVP of Commercial Analytics at Inovalon, discusses how identifying treatment milestones, assessing HCP performance, and segmenting patient populations using SDOH data can drive targeted strategies that improve healthcare outcomes and market access

Putting Collective Insights Into Action to Advance Cancer Care: Key Examples From ASCO 2025

At ASCO 2025, clinical operations leaders gained critical insights into how AI tools, bispecific antibodies, and evolving treatment paradigms are reshaping trial design, endpoint selection, and patient stratification.

Evaluating the Impact of a Direct-to-Patient Clinical Trial Site on Performance, Access, and Patient Representation

Limited evidence surrounds direct-to-patient clinical trial site models, despite growing literature showing that decentralized approaches can improve patient access, enrollment performance, and operational efficiency while reducing participant burden.

Scaling eSource-Enabled Clinical Trials: Hospital Perspectives

The challenges, opportunities, and strategic outlook for oncology research centers.

Realtime Electronic Data Capture at Investigator Sites: Laboratory Data and Beyond

KRI Overload: When More Isn’t Better

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

Investigative Site Investment, Preparedness, and Experience with Digital Solutions

A new global Tufts CSDD survey of 387 investigative site professionals reveals broad experience with digital and decentralized trial tools, growing site-driven technology investments, and strong support for remote data collection—while highlighting persistent burdens tied to fragmented systems, training demands, and financial strain.

Science is Moving—Clinical Trials Must Catch Up

The importance of applying past lessons to align clinical development with scientific advancement.

The Federal Research Credit: Is It Worth All the Trouble?

The key considerations for sponsors in deciding whether to claim the credit.

Animated Explainers Can Be Game-Changers in Cohort Recruitment

By using engaging visuals, researchers and companies can better communicate complex concepts, increase trial participation, and foster public trust in science.

Beyond the Molecule: Why Radiopharmaceutical Trials Require a New Operating Model

Radiopharmaceutical therapy is exposing a broader challenge for clinical development: scientific innovation can advance only as fast as the infrastructure, data, and cross-functional decisions required to deliver it.

AiCure Overview Fact Sheet

Modern clinical trials can be an overwhelming experience for participants, compromising everything from medication adherence and data quality to overall study outcomes. AiCure’s H.Code is a patient engagement platform that reinvents the clinical trial experience for participants using cutting-edge AI, easy communication, and dedicated support for sites. Read our fact sheet to learn how H.Code extends the reach of your clinical team using an AI-powered analytics platform and a user-friendly smartphone app.

Lessons from Hundreds of Clinical Trials: AI’s Successes, Gaps, and Opportunities

Why clinical development’s next AI bottleneck is not the model, but the system around it.

Notable Discussions from SCOPE 2025: Aiming to Calculate, Accommodate, and Innovate for Enhanced Drug Development

This year’s conference highlighted a number of critical areas in clinical R&D including financial management, representation, and eCOA.

Benchmarking the Investigative Site Qualification Process

Insights identify opportunities to optimize sponsor, CRO, and site collaborations.

How to recruit specialty volunteer populations for early-phase clinical research: 5 things to ask when choosing a CRO partner

In early development, effective volunteer recruitment is critical for building a robust package of clinic trial data, ensuring scientific validity, containing study costs, and maintaining timelines. In studies that require specific types of volunteer populations, it’s important to develop a focused plan for recruitment.

Accelerating Breakthroughs with Synthetic Clinical Trial Data

The emergence of AI-powered simulants in improving study efficiency.

A Shot in the Arm to Traditional Vaccine Trial Strategy

From planning one Phase III trial at a time to digital standardization on repeat.

Beyond the Buzzwords: What SCOPE 2026 Revealed About Clinical Trial Planning and Operations

Insights from SCOPE 2026 highlight the industry’s shift toward connected, data-centric clinical trial ecosystems, where digital protocols, shared data, and renewed scientific rigor are driving more efficient, interoperable, and patient-focused research.