Digital twins can transform trial design by making data more robust and alleviating patient burden. In this interview, Epicrispr CEO Amber Salzman, Ph.D., shares how the company's using it to reliably predict muscle volume change in their trial for a FSHD gene therapy.
- Navigating The New EU Pharmaceutical Legislation: Key Implications For Pediatric Drug Development
- Why Life Science Tech Pilots Fail After The Demo — And How To Avoid It
- The Profit Margin Double Standard That Needs To Change
- Why The Governed Hybrid Site Model Is Strategically Superior — Part 3
- Beyond The IND Clock: What Operation TrialBlazer Gets Right — And Where It Stalls (Part 1)
- Beyond The IND Clock: The Legal Architecture Of QRIs And What Industry Must Say Before July 22 (Part 2)
- Project Management And AI: What Should Be Automated And What Should Not
GUEST COLUMNISTS
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Beyond The IND Clock: The Legal Architecture Of QRIs And What Industry Must Say Before July 22 (Part 2)
The FDA's Operation TrailBlazer includes a proposal to speed up IND review and approval. But Kimberly Chew and Odette Hauke say its legal architecture is unresolved and reveals compliance issues that are hard to ignore.
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Project Management And AI: What Should Be Automated And What Should Not
How can clinical research project management be optimize by AI? To determine its best fit, consultant Jason C. Bork assess AI's utility in project management through the lens of Plan, Do, Check, Act (PDCA).
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How Clinical Research Site Operating Models Perform in Practice – Part 2
In part two of this three-part series, Paradigm Clinical Research CEO Kurt Mussina evaluates how each site operating model performs regarding speed, patient access, investigator engagement, quality, accountability, and scalability.
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Why Operating Model Is The Next Competitive Frontier In Clinical Research Site Strategy – Part 1
In this three-part series, Paradigm Clinical Research CEO Kurt Mussina discusses the meaningfulness of a site's operating model to clinical trial sponsors. In part one, he first defines operating model types.
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Before AI Can Transform Clinical Trials, It Needs More Patient Data
King’s College London Professor Maddy Parsons says AI won't improve clinical trials — unless researchers begin collecting richer biological data, embracing diversity, and treating every clinical trial as learning opportunity.
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How One Researcher's Personal Study Experience Is Helping Him Better Serve Patients
Regeneron Executive Director in Clinical Sciences Kaniel Cassady, Ph.D., reflects on how his industry experience shaped his expectations, questions, and interactions as a patient in a clinical trial and how his patient experience is reshaping his clinical work going forward.
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i-Cubed Used End-To-End AI In A Proof-Of-Concept Trial. Here's What They Learned
Discover how well AI fared in document generation, patient engagement, data integration, and more in an end-to-end proof-of-concept study run by i-Cubed.
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Social Media Is Replete With Patient RWD, But How Can Researchers Best Use It?
Pistoia Alliance's Thierry Escudier and Aditya Tyagi discuss how social media listening is used in clinical research, how it supports established evidence-generation methods, and how it can become a credible, structured input for drug development.
CLINICAL TRIAL WHITE PAPERS
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A New, AI-Augmented Horizon For Safety And Pharmacovigilance
Is your organization leveraging AI to maximize efficiency in safety and regulatory workflows? If not, explore how these technologies are slated to improve industry approaches in 2026.
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AI in Pharma: Benefits, Risks, And The Road Ahead10/23/2024
How could leveraging AI technologies, including machine learning (ML) and generative AI (GenAI), enable your company to streamline processes from drug discovery to post-launch?
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Completed Clinical Trials Continued To Climb In 20246/19/2025
Data collected in this report reflects a shift toward sustained growth, reflecting rapid advancement in therapeutic areas such as oncology, autoimmune/inflammation, and central nervous system studies.
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AI-Driven Signal Management: The Future Of Drug Safety12/19/2025
By combining autonomy with robust governance, agentic AI enables pharmacovigilance teams to move from reactive to proactive safety management, anticipating risks before they materialize.
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Merits Of A Multifaceted Approach To Clinical Trial Recruitment1/27/2025
The best way to address clinical trial recruitment challenges is with a multifaceted approach that goes beyond traditional channels and ways of thinking.
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2025 Safety And Regulatory Compliance Trends And Predictions12/16/2024
Explore the rapidly evolving regulatory landscape that pharmaceutical and biotech industries face as they integrate AI and advanced technologies into safety, compliance, and lifecycle management.
CLINICAL TRIAL APP NOTES & CASE STUDIES
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Advancing Neuromuscular Research with Digital Endpoints1/20/2026
Explore cutting-edge digital measures that capture peak mobility and activity in real-world settings, offering meaningful insights into disease progression in neuromuscular disorders.
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Flexible Data Management For Growing Portfolio7/31/2025
Explore strategic enhancements to a small biopharma's biometrics capabilities involving the deployment of 20 specialized professionals, which effectively bolstered the client’s organizational capacity.
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Enhance DMC Services By Harnessing Biostatistics Expertise8/7/2024
Discover how expert biostatistics and project management ensured data integrity and efficient DMC operations in a complex clinical trial for hematologic cancer cell therapies.
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Faster Trial Planning and Site Selection4/15/2025
Address the challenges of identifying the most suitable trial sites and investigators while optimizing feasibility planning, reducing screen failure rates, and improving patient retention.
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Delivering Complex Oncology Trials At Scale5/19/2026
Parexel delivered two complex, global Phase III prostate cancer trials by aligning site selection, logistics, imaging workflows, and RAM regulatory expertise—achieving faster enrollment and on‑time execution.
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DECODE CRS: Accelerating Immunotherapy Access And De-risking CRS6/18/2026
How does the DECODE CRS Coalition help trial sponsors standardize protocols and build a first-of-its-kind wearable dataset to lower development costs and safely de-risk outpatient care?
NEWSLETTER ARCHIVE
- 07.14.26 -- A Role-Play Conference Session That Reframes The Data Manager's Job
- 07.14.26 -- How Life Sciences Leaders Are Building Scalable Operations
- 07.13.26 -- Safer ADCs- Enabling Higher Effective Dosing
- 07.11.26 -- Clinical Leader Newsletter - Best Of June
- 07.10.26 -- Accelerating Trial Execution With AI And Real-Time Data
RECRUITMENT AND DIVERSITY
This section includes some helpful resources regarding patient recruitment and diversity in clinical trials, including this link to the FDA's guidance on diversity action plans.
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Informed consent has never been solely about documentation, but some sponsors has treated it as a checkbox exercise. Here, consultant Tasha Mohseni shares tips and fixs for how best to approach informed consent.
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Regeneron Executive Director in Clinical Sciences Kaniel Cassady, Ph.D., reflects on how his industry experience shaped his expectations, questions, and interactions as a patient in a clinical trial and how his patient experience is reshaping his clinical work going forward.
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AI is changing the way clinical trial trials are discussed, planned, and designed. But even with an improved protocol, are AI-enhanced trials driving better enrollment?
FOCUS ON PATIENTS
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Digital twins can transform trial design by making data more robust and alleviating patient burden. In this interview, Epicrispr CEO Amber Salzman, Ph.D., shares how the company's using it to reliably predict muscle volume change in their trial for a FSHD gene therapy.
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Regeneron Executive Director in Clinical Sciences Kaniel Cassady, Ph.D., reflects on how his industry experience shaped his expectations, questions, and interactions as a patient in a clinical trial and how his patient experience is reshaping his clinical work going forward.
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The American Diabetes Association 2026 conference showed where we are and where we're going with GLP-1 therapies.