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 29th April - 1st May 2025
University of Birmingham, UK

Methods for Evaluating Models, Tests And Biomarkers (MEMTAB) 2025

7th International Conference, 29th April – 1st May 2025

University of Birmingham, Birmingham, UK



29th April: pre-conference courses, followed by welcome reception

30th April: conference day 1, followed by evening meal and entertainment

1st May: conference day 2



University of Birmingham (main campus), Edgbaston, UK.



On campus: Edgbaston Park Hotel

Many other options in and around Edgbaston & Birmingham City Centre



MEMTAB is the leading international conference about methods to evaluate models, tests, and biomarkers for clinical practice and healthcare. Bringing together all types of researchers and stakeholders in the field, the conference aims to debate and disseminate best methods for identifying reliable models, tests and biomarkers that improve the screening, diagnosis, prognosis and monitoring of patients.


In 2025, we return to the University of Birmingham and raise the conference theme:

    “Evidence That Stands the Test”


We want participants to push our understanding of what constitutes the research evidence needed for models, tests and biomarkers to be reliably endorsed, communicated and deployed in practice.


*** Abstract submission & registration opens later in 2024! *****



The conference focuses on methodology for models, tests and biomarkers.

Topics of interest include (but are not limited to):

  • screening and early diagnosis

  • emerging technologies including multi-condition tests and self-tests

  • evaluation, regulation and implementation

  • education and communication, including to policy makers, patients and public

  • examining and improving fairness and generalisability

  • quantifying uncertainty and handling different types of variability

  • clinical pathways for diagnosis, prognosis and monitoring

  • impact assessment and monitoring strategies

  • patient & public involvement and engagement (PPIE) in methods research

  • study design (including sample size, sources of data, reporting)

  • novel approaches including AI, machine learning, decision analytics & counterfactual prediction

  • early-phase research

  • systematic reviews & meta-analyses, especially using individual participant data

  • health economics and decision analysis

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