biomedical-paper

What This Skill Does

The biomedical-paper skill is a high-precision AI assistant designed to transform raw research notes, outlines, and drafts into professional-grade, publication-ready English manuscripts. Utilizing python-docx for structured document creation, it enforces strict academic standards by integrating an automated citation verification workflow that cross-references all sources with PubMed. The skill is purpose-built to handle complex epidemiological data, including GBD studies, cohort analyses (CHARLS/NHANES), and cross-sectional mediation research, ensuring that statistical values are preserved with absolute accuracy. It also facilitates the production of bilingual graduate or doctoral theses, adhering to institutional formatting requirements while maintaining high-fidelity academic tone and structure.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal or skill manager: clawhub install openclaw/skills/skills/baronshang-blip/biomedical-paper-billing

Use Cases

• GBD Epidemiology: Analyzing disease burden trends using JOINPOINT regression and mapping DALYs or ASIR/ASMR data.
• Cohort & Registry Analysis: Processing datasets like FAERS or MIMIC for clinical registry studies, including K-means clustering and survival analysis.
• Mediation Analysis: Conducting cross-sectional studies on environmental and health indicators with complex statistical output.
• Academic Thesis Support: Assisting graduate students in formatting long-form Chinese dissertations that require precise English abstracts and verified Vancouver-style citations.

Example Prompts

1. "I have attached my draft on 'Systemic Immune-Inflammation Index and cognitive impairment'. Please generate a full manuscript including the mediation analysis tables, and ensure all references are verified via PubMed."
2. "Please convert my research notes on the GBD 2023 Neuroblastoma trends in Asia into a formal journal-style paper. Use the SIICI template for the methodology section and include 4 layered tables."
3. "Help me finalize my doctoral thesis. Please format the current draft into a professional docx document, ensure the Vancouver citation numbering is consistent across all chapters, and create an index of the references used."

Tips & Limitations

• Citation Accuracy: Always review the 'Citation Mapping Table' generated by the skill to ensure no虚构 (fictional) references remain. The tool will flag unverified citations for your approval.
• Data Integrity: The skill is designed to prevent data alteration; it will transcribe your provided stats (β/OR/RR/p-value) exactly. Please ensure input data is pre-validated.
• Template Adherence: Mentioning the specific study type (e.g., GBD, Cohort, Mediation) at the start of your prompt will significantly improve the accuracy of the generated methodology section.
• Limits: While the skill supports large documents, complex cross-referencing in manuscripts exceeding 50,000 words should be reviewed in sections to maintain strict adherence to university formatting guidelines.