Insights shaping
better clinical decisions
Explore expert perspectives, white papers, case studies, publications and events on the issues shaping clinical research and the future of biometrics.
A curated collection of ideas and
perspectives from across our teams
Whitepaper Volume I – Sustainable Scale: Designing People-Centric Operating Models for Complex Trials
As Clinical Data Management grows more complex, many organisations are asked to scale faster than their operating models allow. Volume I explores people-centric operating models built for complexity, accountability and resilience.
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Whitepaper The Ethics of AI in Medical Writing
As AI transforms medical writing, teams must adopt new tools without sacrificing scientific accuracy or regulatory compliance. This paper weighs innovation against ethical responsibility and the need for expert human oversight.
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Whitepaper A Biotech Leader's Guide to Success
In early clinical development, data is the product — success depends on how fast and credibly it's generated. How sponsor-owned data strategies align collection with analysis while protecting quality.
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Whitepaper Beyond Traditional Outsourcing: The Data Science CRO Advantage
As clinical trials grow more complex, sponsors are turning to a specialised model of outsourcing — the data science CRO — to optimise operations, control cost and protect quality across their studies.
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Case Study Rescue Services: A Pivotal Phase III Study in Oncology
Metronomia rescued a delayed Phase III oncology study by automating data transfers, strengthening cleaning and reconciliation and streamlining the pipeline — restoring confidence in the outcome and winning further collaboration.
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Whitepaper Clinical Data Management and Statistical Rescue Services in Clinical Trials
How rescue services turn around underperforming trials: when to engage a data science CRO, best practices for recovery, and the capabilities needed to resolve delays, cost overruns and regulatory risk.
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Case Study ISS/ISE Package in Immunology
Metronomia prepared an Integrated Summary of Safety and Efficacy by integrating data from 11 heterogeneous trials — five with legacy formats — standardising formats and harmonising endpoints for submission.
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Whitepaper Benefits of Bayesian Optimal Interval (BOIN) Design for Early-phase Oncology Trials
Early-phase oncology trials must find the maximum tolerated dose safely. This paper compares the traditional 3+3 with the Bayesian Optimal Interval (BOIN) design and its advantages in flexibility and efficiency.
Download →Scientific publications
- Anti-C5a antibody (vilobelimab) therapy for critically ill, mechanically ventilated patients with COVID-19 (PANAMO): a phase 3 trial COVID-19 View publication →
- Long-term relapse-free survival with blinatumomab for minimal residual disease in B-lineage acute lymphoblastic leukemia Oncology View publication →
- Principles and recommendations for incorporating estimands into clinical study protocol templates Methodology View publication →
- Randomized controlled trials define shape of dose response for Pollinex Quattro Birch allergoid immunotherapy Allergy View publication →
Meet us at upcoming industry events
In person Upcoming ACDM US Summit 2026
Connect with Metronomia's leadership across two days of clinical data-management insight. Booth ABC123.
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In person Upcoming DIA Global Annual Meeting 2026
Conversations on adaptive design, submission strategy and sponsor-focused data delivery.
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In person Upcoming PHUSE EU Connect 2026
Deep-dives on CDISC standards, automation and submission-ready deliverables.
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Online On demand Adaptive design in oncology — what regulators want to see
Adaptive dose-finding, seamless phase II/III, and the regulatory narrative around dose selection.
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