Latest from ClinStacks
AI tools, regulatory analysis, and clinical research intelligence — from practitioners who build and use these systems.
AI Endpoints Are the Weakest Link in Modern Clinical Trials
AI-powered endpoints are entering clinical trial protocols faster than the evidence supporting them. The data gaps, validation shortcuts, and regulatory ambiguity create systemic risk that most protocol teams aren't addressing.
Designing a GLP-1 Clinical Trial in 2026: What the Pipeline Data Tells Us About Protocol Strategy
We analyzed the full GLP-1 trial landscape using data from ClinicalTrials.gov, openFDA, and PubMed to identify protocol design patterns that distinguish successful trials from those heading for amendments.
Why One in Three Phase 2 Oncology Trials Stop Early — And What Protocol Designers Can Learn
A ClinStacks analysis of 22,704 Phase 2 oncology trials reveals that slow accrual — not drug failure — is the leading cause of termination. What this means for protocol design.
Thermo Fisher Is Embedding AI Across Its Clinical Trials Business — Here's Why It Matters
Thermo Fisher Scientific is integrating AI directly into its drug development operations through a collaboration with OpenAI. What this means for clinical research teams.
3 AI Tools Every Radiologist Should Know in 2026
After a decade in clinical data infrastructure and medical imaging, here are the three radiology AI tools earning real adoption — Aidoc for triage, Rad AI for reporting, and Oxipit for autonomous screening.
Microsoft Copilot Health: What Clinicians Need to Know Before Patients Know More Than You Do
Microsoft just built the consumer-facing intelligence layer on top of your patients' clinical data. Here's what it does, what it gets wrong, and how to prepare.
From 200 Papers to a Structured Evidence Table — In Hours, Not Weeks
How to use a five-tool AI stack to compress systematic literature reviews from 2 weeks to 2-4 days of focused work.
Cut Protocol Drafting from 3 Weeks to 5 Days with AI
AI protocol drafting is transforming how clinical trials get started. Here's the three-tool stack that compresses the draft-to-IRB timeline from 8-12 weeks to 3-5 weeks.
1,000+ Open Medical Imaging Datasets and Why Your Foundation Model Still Can't Generalize
A practitioner breakdown of Project Imaging-X — the largest survey of open-access medical imaging datasets ever compiled. What the data gaps mean for clinical trial endpoints, AI device validation, and foundation model readiness.