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Claude Code-powered end-to-end meta-analysis automation: AI-assisted literature review, screening, extraction, analysis, and manuscript generation for systematic reviews and clinical evidence synthesis
論文學習雷達 — a personal literature-tracking & learning radar: dozens of journal/PubMed feeds → interest-scored → private web triage → flows into your notes. Discovery end of a pipeline: pair with paper-fetch (full-text download) and paper-review-and-digest (appraisal/digest).
Unofficial OpenEvidence MCP server — query OpenEvidence from Claude Code, Codex, and any MCP client through your own logged-in browser tab (no API key). Fire-and-forget asks, a shared relay daemon for concurrent sessions, BibTeX + Crossref citations.
Automated systematic literature review pipeline generating publication-ready manuscripts from Scopus/PubMed/Embase with PRISMA compliance, GRADE evidence synthesis, and DOI validation for clinical research.
Two Claude Code skills for reading one academic paper: /paper-review (journal-club appraisal, deterministic GRADE + CrossRef gate) and /paper-digest (fast content absorption). Reading end of a pipeline: pair with paper-radar (discovery) and paper-fetch (full-text download).
Written in python, for checking reference lists in systematic reviews and literature reviews, helps with reference list searching both backward&forward by extracting references and creating search queries, ranks articles by relevance to improve screening efficiency, download full-text pdf of research articles in batch.
Claude Code skill for multi-persona Bayesian diagnostic reasoning using NEJM Clinical Problem-Solving format with likelihood ratios, evidence-based medicine, and medical AI education
Automated oncology treatment trend reporter for breast cancer and hematologic malignancies — scrapes clinical trials, medical trials, medical conferences, and AI-powered evidence via OpenEvidence, ESMO, OncDaily, OncLive. Generates weekly markdown reports in Traditional Chinese.
Chrome extension with LLM integration for clinicians to query OpenEvidence directly from text—AI-powered PICO question rewriting using Groq for evidence-based medicine workflows
Python CLI skill for querying OpenEvidence clinical evidence assistant — portable stdlib-only alternative to MCP, works with Claude Code and 40+ AI agents
Profile README for Hsieh-Ting Lin (林協霆) — attending physician in medical oncology, building open-source medical, evidence-based-medicine, and AI/MCP tooling (Claude Code, R, TypeScript)