Scientific validation
Interrogate assumptions, controls, uncertainty, reproducibility, and whether an interpretation is scientifically justified.
Scientific validation · Computational biology · Biomedical AI
Scientific rigor for complex biological and computational systems.
We evaluate methods, models, and analytical pipelines across the life sciences, with particular strength in computational biology, quantitative analysis, reproducibility, and biomedical AI.
Core functions
Three things we do particularly well.
Computational analysis
Develop and evaluate quantitative workflows across complex biological data, imaging, and multi-omics.
Biomedical AI evaluation
Benchmark models, stress-test failure modes, and assess whether outputs withstand expert scientific review.
Why Praedictum
Plausibility is not the same as validity.
We focus on how a result was generated, which assumptions it depends on, how it can fail, what uncertainty remains, and whether another team could reproduce it.
Work with us
Contact Praedictum