Insights on AI, medical research, and the future of scientific discovery.
Tumour shrinkage is not survival. Blood pressure reduction is not stroke prevention. The use of surrogate endpoints in clinical trials has accelerated drug approval - and produced some of medicine's most expensive mistakes.
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HARKing - presenting post-hoc hypotheses as if they were a priori - is widespread, rarely acknowledged, and one of the most direct contributors to the replication crisis. It is also not discussed honestly enough in methods training.
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Drug repurposing has produced some of medicine's most useful treatments. AI is accelerating the identification of candidates - but the gap between computational signal and clinical validation remains wide.
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Most AI assistants answer questions in a vacuum. Ours answers in the context of your entire research project.
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The forest plot is the most recognisable output of a meta-analysis - and one of the most frequently misread. Here is what the visual is actually telling you, and what it conceals.
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A hypothesis without a plan is an idea. A hypothesis with phased milestones, timelines, and go/no-go criteria is a project.
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When Bayer scientists tried to replicate preclinical oncology findings, they succeeded in fewer than a quarter of attempts. This is not an anomaly - it is a structural feature of how preclinical research is conducted and reported.
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A research tool that produces output you cannot use in your existing workflow is a tool you will stop using. Export matters more than features.
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Adaptive trials promise efficiency and flexibility - but they introduce complexity that can undermine the very rigour they are designed to preserve. Knowing when they add value is the question most sponsors skip.
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Data sovereignty is not a checkbox. It is an architectural decision. We built NousLab to work however your institution needs it to.
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Observational studies are the backbone of real-world evidence - and the source of most retractions. Getting the design right before data collection is the difference between credible findings and a desk reject.
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In most research teams, work is invisible until it is published. A shared research library makes ongoing work findable and reusable.
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