EU-PEARL explicitly names Bayesian statistics as a core component of its patient-centric platform trial methodology.
BERRY CONSULTANTS LLP
UK statistical consulting SME specialising in Bayesian adaptive trial design, platform trial operations, and health economics for clinical research consortia.
Their core work
Berry Consultants is a specialist statistical consulting firm best known for Bayesian adaptive methods and platform trial design in clinical research. In H2020, they contributed statistical expertise to EU-PEARL, a multi-disease platform trial infrastructure covering conditions ranging from major depressive disorder to tuberculosis and neurofibromatosis. They also brought health economics and diagnostic value modelling to VALUE-Dx, which assessed whether better diagnostics can reduce unnecessary antibiotic prescribing. Their practical value in a consortium is the ability to design, run, and defend statistically rigorous adaptive trials — a capability most research teams lack in-house.
What they specialise in
EU-PEARL (2019–2023) focused on building the operational and governance infrastructure for multi-arm, multi-disease platform trials across Europe.
VALUE-Dx used health economics modelling to quantify the value of improved diagnostics in reducing inappropriate antibiotic use and combating AMR.
VALUE-Dx (2019–2024) addressed AMR from a diagnostics and economic optimisation angle, with Berry contributing the analytical framework.
How they've shifted over time
Both H2020 projects launched in 2019, so the keyword split does not reflect true temporal change — it reflects two parallel workstreams rather than a shift over time. That said, the two projects reveal a firm operating at opposite ends of the clinical research cycle: upstream diagnostic economics (VALUE-Dx) and downstream trial execution methodology (EU-PEARL). If there is a directional signal, it points toward platform trial infrastructure and Bayesian methodology as the higher-value, more technically distinctive lane — EU-PEARL received nearly three times the EC funding of VALUE-Dx.
Berry Consultants appears to be positioning toward complex adaptive and platform trial methodology, where Bayesian expertise is a genuine differentiator — a direction that aligns with growing EU and industry demand for more efficient trial designs.
How they like to work
Berry Consultants has participated exclusively as a consortium partner, never as a project coordinator — consistent with a specialist consultancy that joins large projects to provide a specific technical function rather than to lead. Both their projects sit in large, multi-partner consortia: EU-PEARL alone involves dozens of academic hospitals, pharma companies, and patient organisations. With 64 unique partners across 16 countries from just 2 projects, they clearly integrate into complex multi-stakeholder structures without difficulty.
Despite only two projects, Berry Consultants has touched 64 unique consortium partners across 16 countries — a footprint that reflects participation in large, pan-European clinical trial networks. Their reach is European in scope with no visible geographic concentration.
What sets them apart
Berry Consultants occupies a narrow but high-demand niche: Bayesian statistics applied to adaptive and platform trial design. This is genuinely rare among EU project participants — most statistical contributions to health projects come from university biostatistics departments, not specialist commercial firms with operational trial experience. For a consortium building a complex adaptive or platform trial, they bring both methodological credibility and practical execution capability that academic partners typically cannot match.
Highlights from their portfolio
- EU-PEARLThe project's largest funding award (EUR 196,250) and its scope — a multi-disease platform trial spanning depression, tuberculosis, neurofibromatosis, and NASH — makes it a flagship example of Berry's Bayesian platform trial expertise in action.
- VALUE-DxDemonstrates a complementary capability in health economics and AMR policy analysis, showing Berry can contribute beyond pure trial statistics to the upstream question of diagnostic value and antibiotic stewardship.