April 16th 2025
With close collaboration between sponsors, CROs, and regulators, this emerging technology has the potential to greatly improve the lives of patients.
April 9th 2025
The challenges, opportunities, and strategic outlook for oncology research centers.
March 26th 2025
Leveraging artificial intelligence-powered stochastic methods for clinical data review represents a significant leap beyond traditional approaches.
March 21st 2025
Understanding the benefits and concerns associated with implementing datasets into clinical trial workflows.
March 14th 2025
Addressing data integrity and compliance concerns.
A New Beginning: The Effect of Artificial Intelligence on Clinical Trials, Medicine Creation
With the increasing use of artificial intelligence and machine learning in medicine development, what role will they play in the clinical trial space moving forward?
Peer Exchange: Technology Accessibility
In the fifth and final part of this roundtable discussion, participants discuss the practice of designing technology with patients in mind and share their concluding thoughts on improving diversity in clinical trials.
Enhancing eCOA Through AI: A Look Ahead to 2025
The three areas poised for a transformation in the advent of electronic clinical outcome assessment technologies.
Applied AI and Advanced Automation in Clinical Trials
Use cases spotlight the growing potential of generative AI in the CRO space.
Leveraging AI/Machine Learning as an End-to-End Differentiator
A well-designed approach can benefit clinical trials from protocol design to site support.
In Focus: AI and Clinical Trials — ‘The Beginning of a Journey’
Experts weigh in on efforts to realize incremental gains in using AI to ease systemic ills, such as speeding up study enrollment and reducing the risk for unusable flawed data.
Accelerating Breakthroughs with Synthetic Clinical Trial Data
The emergence of AI-powered simulants in improving study efficiency.
Q&A: Assessing the Strides Made So Far in AI’s Clinical Trial Ascent
Mick Ryan, vice president of IT at ICON plc, discusses the growing use of artificial intelligence in clinical research—from technology and data analysis to patient privacy and ethics.
Ensuring Data Integrity with Artificial Intelligence
In this video interview, Mark Melton, vice president of biospecimen data and operations, Slope, touches on the challenges with hand-written data collection and how they can be addressed with AI.
Peer Exchange: Technology's Role in Achieving Greater DE&I in Clinical Trials
Industry experts discuss the use of decentralized technologies and the potential of artificial intelligence in reaching underrepresented patient populations.
Leveraging Artificial Intelligence in Sample Collection
In this video interview, Mark Melton, vice president of biospecimen data and operations, Slope, discusses how AI can be used to streamline sample collection and tracking.
Clinical Technology Consolidation
In this video interview, Jeff Sidell, PhD, chief technology officer, Advarra, highlights the idea of consolidating clinical technology and how it may become more popular in the future.
Streamlining Clinical Data Exhaust
In this video interview, Jeff Sidell, PhD, chief technology officer, Advarra, discusses the concept of data exhaust and how managing it can be simplified with artificial intelligence.
Using Artificial Intelligence to Manage Clinical Trial Conduct
In this video interview, Jeff Sidell, PhD, chief technology officer, Advarra, talks AI and how it can automate repetitive processes.
Solving Clinical Technology Challenges with Integration
In this video interview, Jeff Sidell, PhD, chief technology officer, Advarra, highlights how integration can simplify processes.
Complexities with Managing the Overabundance of Clinical Technology
In this video interview, Jeff Sidell, PhD, chief technology officer, Advarra, discusses how sites are being burdened by increasingly complex technologies.
Enhancing Empowerment in Patient-Focused Research
How the inclusion of measures centered on net treatment benefit can drive an effective multifaceted approach.
Harnessing Unstructured Data and Hospital Interoperability
The potential of next-generation platforms in transforming patient recruitment.
5 Strategies for Bridging the Sponsor-Site Tech Divide
Results from survey of 100 site personnel suggest a disconnect is present between these stakeholders.
Clinical Trial Sites and Technology Overload
In this video interview, Jimmy Bechtel, vice president, site engagement, SCRS, highlights how sites are bearing the burdens of cost and training with implementing new technologies.
Uncertainty With Artificial Intelligence at the Site-Level
In this video interview, Jimmy Bechtel, vice president, site engagement, SCRS, discusses challenges and trends he is currently hearing about from sites.
4 Challenges With Technology in Clinical Trials
While recent advancements in technology are helping studies operate more efficiently, concerns around their accuracy and usability still remain.
4 Areas of Interest for Artificial Intelligence in Clinical Research
Industry experts share their perspectives on the potential of AI in clinical trials.
Prioritizing Data Quality Amidst Complexity in Clinical Trials
In this video interview with ACT editor Andy, Studna, Silvio Galea, chief data & analytics officer, WCG, highlights the need for relevant, quality data and the challenges with needing to use multiple technologies.
Re-imagining the Labs
Developing a strategic approach for labs that can identify and tackle global health challenges.
Harmonizing Data in Clinical Research
In this video interview with ACT editor Andy, Studna, Silvio Galea, chief data & analytics officer, WCG, touches on the usability of clinical technology.
AI Already Starting to Deliver Faster, Safer, More Effective Clinical Trials
From design and trial start-up to conduct and analysis, there is enormous potential for applications of artificial intelligence within clinical trials to have a profound impact on human health.
How Digital Health Technologies are Addressing Unmet Measurement Needs in Parkinson’s Disease
In a rare disease space that faces challenges in measurement quality, these technologies can enable the use of real-world data and improve study timelines.
Achieving Optimal Adoption of Risk-Based Quality Management
The need to boost education, shift culture, and embrace new technologies.
Understanding Acceptability of eConsent from a Global, Ethical, and Industry Perspective
Using surveys to collect various viewpoints on eConsent from ethics, sponsors, and vendors.