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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.

Benchmarking the Investigative Site Qualification Process

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

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.

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.

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.

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.

Accelerating Breakthroughs with Synthetic Clinical Trial Data

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

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.