Insights on AI, medical research, and the future of scientific discovery.
The studies that never reach PubMed - unpublished trials, internal reports, conference abstracts - can be decisive for the conclusions of a systematic review. Ignoring them is not a neutral choice.
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The worst time to discover relevant new evidence is when a reviewer points it out. Continuous monitoring with intelligent analysis prevents this.
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Meta-analysis is often treated as the gold standard of evidence - but pooling the wrong studies can produce a precise answer to the wrong question. Understanding when not to pool is as important as knowing how.
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Some research tasks are important but follow predictable patterns. Those are the tasks that AI agents can handle while you focus on the work that requires human judgment.
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Every major pharmaceutical company has announced an AI strategy. What they are actually doing, versus what they are announcing, is a more interesting question.
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If your evidence base already contains endpoint data from 50 comparable studies, starting a protocol from a blank template is wasted effort.
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The p-value is the most widely misunderstood statistic in science. Understanding what it actually means changes how you read the literature, design your studies, and report your findings.
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You have read everything relevant. Translating that into a specific, novel, testable hypothesis is where the real difficulty starts.
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Evidence-based medicine transformed clinical practice. It also produced a hierarchy of evidence that has been applied with a rigidity its founders would not have recognised or endorsed.
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The paper that challenges your hypothesis might be in a database you never thought to search. Searching 12 databases simultaneously changes what you find.
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AI-designed molecules have entered clinical trials. AI-predicted protein structures have transformed structural biology. But the evidence for AI's impact on drug discovery success rates is more complicated than the headlines suggest.
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Why we built NousLab, and what we believe researchers actually need.
Read more →Join leading pharmaceutical companies, hospitals, biotech labs, CROs, and research centers using NousLab to accelerate medical breakthroughs.
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