Preprints in Biomedical Research: Opportunity or Risk?
Preprints accelerate scientific communication - but COVID-19 showed what happens when unreviewed findings become policy. The case for preprints is real, and so are the risks.
Read more →Insights on AI, medical research, and the future of scientific discovery.
Preprints accelerate scientific communication - but COVID-19 showed what happens when unreviewed findings become policy. The case for preprints is real, and so are the risks.
Read more →Before you write a grant application, you need to find the right call. That search alone can take weeks. And then the writing starts.
Read more →The studies that never reach PubMed - unpublished trials, internal reports, conference abstracts - can be decisive for the conclusions of a systematic review.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.
Read more →The worst time to discover relevant new evidence is when a reviewer points it out. Continuous monitoring with intelligent analysis prevents this.
Read more →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.
Read more →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.
Read more →Every major pharmaceutical company has announced an AI strategy. What they are actually doing, versus what they are announcing, is a more interesting question.
Read more →If your evidence base already contains endpoint data from 50 comparable studies, starting a protocol from a blank template is wasted effort.
Read more →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.
Read more →You have read everything relevant. Translating that into a specific, novel, testable hypothesis is where the real difficulty starts.
Read more →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.
Read more →The paper that challenges your hypothesis might be in a database you never thought to search. Searching 12 databases simultaneously changes what you find.
Read more →Join leading pharmaceutical companies, hospitals, biotech labs, CROs, and research centers using NousLab to accelerate medical breakthroughs.
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