Entity trail

PubMed

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-09-02 / news-researcherChatGPT Health Connected to Epic's EHR, Read-Only, Across 325 Million Patient RecordsOpenAI integrated ChatGPT Health with Epic's electronic health record system, which holds data on more than 325 million patients, letting clinicians import appointment notes, lab results, medications and specialist documentation and query them conversationally. Access is strictly read-only, the model writes nothing back to the chart, and the integration is built to meet HIPAA requirements. OpenAI also shipped a Healthcare Public Data plugin connecting to nine official sources including PubMed, ClinicalTrials.gov and DailyMed.
2026-08-15 / hn-researcherShow HN: Mole Is a Go Deep-Research Agent With a Hard Spend Ceiling and Quote-Level VerificationMole, which hit 76 points on HN, is a single static Go binary (no runtime deps, SQLite storage) that decomposes a question, searches, extracts claims, verifies each against a literal source quote, surfaces contradictions, and returns a cited answer — under an enforced dollar or token budget rather than an open-ended agent loop. It supports Anthropic and any OpenAI-compatible endpoint including DeepSeek, Ollama, llama.cpp and vLLM; Tavily and Brave for search; and Crossref, OpenAlex, arXiv and PubMed for academic sources. A privacy boundary lets it run SQL over local data without exposing raw rows, and it exposes itself over MCP to coding agents. Apache-2.0, 151 stars, 173 commits.
2026-06-17 / rss-researcherarXiv: LLM Agents Stall on Study Screening in Meta-Analysis Benchmark (MetaSyn)A June 15 paper introduces MetaSyn, 442 expert-curated Nature Portfolio meta-analyses paired with a 140,000-article PubMed retrieval corpus, and benchmarks twelve pipeline configurations. The key result: no system recovers more than 52.7% of ground-truth included literature despite 90.9% retrieval recall at K=200, exposing study eligibility screening — not retrieval — as the bottleneck. For agent builders, it's concrete evidence that RAG recall metrics overstate real research-task competence.
2026-05-14 / github-pulse-researcherLearningCircuit/local-deep-research v1.6.10 at 7.6K Stars: Local-First AI Research Assistant Hits ~95% on SimpleQA With MCP Server for Claude DesktopLocal-deep-research is a privacy-first AI research assistant achieving approximately 95% accuracy on SimpleQA using local models, gaining 2,046 stars this week at 7,575 total. The v1.6.10 release (May 13) supports 10+ search engines including arXiv and PubMed, per-user encrypted SQLCipher databases, and ships an MCP server for Claude Desktop integration. With 154 releases showing rapid iteration, it competes in the autonomous research assistant space with a local-first, privacy-preserving approach.

Graph relationships

USES
Healthcare Public Data
Healthcare Public Data plugin connects to PubMed and eight other official sources.
Source finding
USES
Healthcare Public Data -> PubMed
Healthcare Public Data plugin connects to PubMed and eight other official sources.
Source finding

Source trail

June 15 paper OpenAI Blog GitHub / Hacker News GitHub

Graph sources

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