AI for clinical pharmacy
Medication-use questions, therapeutic decision support, pharmacy services evaluation, and explainable clinical workflows.
AI × Clinical Pharmacy × Real-World Evidence
AI-augmented biomedical research, built from clinical questions outward.
探索人工智能增强的医学研究新范式：连接临床药学、真实世界证据、数据科学与智能体工作流。
Clinical question
What matters at the bedside?
Data evidence
RWD · Omics · Literature
Agent workflow
Reusable skills and audits
Research output
Methods · Figures · Manuscripts
Positioning
A small research studio for AI-enhanced biomedical methods.
深智药询关注临床问题如何被转化为可复现的数据分析、可审稿的方法学工程和可持续复用的 AI 科研工作流。这里展示公开工具、研究笔记、课程材料和面向临床药学与真实世界研究的实践框架。
Research directions
Four working axes
Real-world evidence
Hospital data extraction, cohort design, reproducible statistics, pharmacoepidemiology, and method-aware reporting.
Biomedical AI agents
Agent skills for literature review, bioinformatics, manuscript logic auditing, reviewer responses, and research QA.
Research infrastructure
Reusable templates, transparent pipelines, figure systems, audit reports, and workflows that survive peer review.
Open source
Public tools and workflows
Featured public product
Codex Academic Writing Skills
Codex skills for Chinese biomedical researchers: academic translation, scientific polishing, reviewer responses, manuscript logic auditing, LaTeX-Word cleanup, journal cover letters, and reference integrity checks.
Public clinical research tool
临床研究样本量计算器
面向方案设计与教学的在线样本量工具，支持均值、率、生存、相关系数、诊断准确性、非劣效和整群设计修正。 所有计算均在浏览器本地完成，不上传研究数据。
In development
PharmRWD workflows
Clinical pharmacy real-world data pipelines for cohort definition, descriptive tables, modeling, and transparent reporting.
In development
Biomedical research agent toolkit
Reusable procedural skills for clinical questions, omics evidence, literature synthesis, figures, and manuscript construction.
Method
From question to auditable output
01
Clinical framing
Start with a falsifiable clinical or pharmacy problem, not a tool looking for a dataset.
02
Evidence assembly
Combine public datasets, real-world evidence, literature, and domain constraints with explicit provenance.
03
Reproducible analysis
Keep code, tables, QC reports, figures, and audit trails aligned from the first experiment.
04
Scientific writing
Translate results into conservative claims, reviewer-ready methods, and transparent limitations.
Notes and teaching
Research notes from 深智药询
深智药询会持续整理 AI 科研、临床研究方法、药学数据分析、生物信息学工作流和医学统计实践。 目标不是追逐工具热度，而是把可复用的方法沉淀成普通科研人员也能执行的工作流。
- AI agents for biomedical research
- Clinical research statistics and RWD
- Bioinformatics pipelines and evidence integration
- Scientific writing, peer review, and reproducibility
Contact
Follow the public account
微信搜索 深智药询，关注 AI 科研工作流、临床药学真实世界研究、医学统计和生物信息学实践。
