For the complete documentation index, see llms.txt. This page is also available as Markdown.

Review & synthetize literature

What to do: Be specific about the gene, indication, and timeframe. Vague prompts like "tell me about TP53" return overly broad results.

Which agent/skill: Consensus (AI-powered scientific search engine)

Example prompt:

Summarize the latest PubMed publications on the role of TP53 mutations in non-small cell lung cancer. Focus on findings from the last 3 years and highlight any consensus on prognostic significance.

Expected result: A structured summary of key publications with citations, organized by main findings and areas of consensus/controversy.

Follow-up:

Are there any conflicting findings across these studies regarding TP53's role as a predictive biomarker for immunotherapy response in NSCLC?

Second example — searching for publications about a drug target:

Find publications investigating TROP2 as a therapeutic target in triple-negative breast cancer. Include any data on TROP2 expression levels and their correlation with clinical outcomes.

Expected result: A curated list of relevant publications with key findings, expression data, and clinical correlations.

Follow-up:

Based on these publications, what is the evidence for using TROP2 expression as a patient selection biomarker for ADC therapies?

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