Understanding PEM: What the Research Says in 2026 — a plain-language synthesis of research on post-exertional malaise, Long COVID, ME/CFS and POTS. Free to read and download.
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Updated
Aug 25, 2026
Understanding PEM: What the Research Says in 2026 — a plain-language synthesis of research on post-exertional malaise, Long COVID, ME/CFS and POTS. Free to read and download.
iOS application for the Plainly study, helping patients understand their health records with large language models.
A proof-of-concept bioinformatics platform designed to translate complex genomic reports into clear, patient-friendly clinical interpretations, bridging computational genomics with accessible healthcare communication and supporting more understandable interpretation of genomic information.
Public web site for the HeartStrong cardiovascular health study.
Firebase backend for the Plainly study, serving chat completions and storing participant reports.
30-year dental decay predictor using exponential modeling. Shows patients exactly when teeth need attention. Built in 4h 16m. Live demo available.
A website designed to keep up to date on FND research and present it in an educational and practical way for both sufferers and clinical or care supporters.
Hemorrhoid postoperative symptom monitoring and AI-assisted patient education PWA — React + Supabase + Claude API
NephroQuest — dialysis educator game. 1k+ users. Real payments. Live at nephlearngames.fun
Versioned, plain-language lymphoedema research brief for patients and carers
Human-centered AI workflow exploring how responsible AI can help families and healthcare teams organize medical information, improve communication, and reduce administrative burden.
A source-grounded healthcare education assistant using MedlinePlus, with safety screening and a Streamlit web interface.
把医学 LLM 对比变成可复核、可追溯的研究与论文。
A phenotype-first CVID discovery network connecting patients, families, clinicians and researchers through shared clinical features, education, research, specialist teams and communities.
AI-powered medical education system with LangGraph ReAct agent orchestrating 4 custom tools (hybrid RAG, PubMed API, medical calculator, web search). Features research mode for multi-source evidence synthesis. Built with LangChain, Pinecone, Google Gemini. 716 PubMed articles, 222 tests.
Patient-facing React app scoring Magic Kingdom dining venues for gout dietary risk — toggleable purines, alcohol, and fructose factors with strictness modes, GPS + abstract park map, and methodology grounded in ACR guidelines and peer-reviewed literature.
Interactive learning guide for Graves' disease diagnosis, built on tiered medical evidence and designed for patient understanding. Plain language, visual narrative, and accessibility-first.
TOP 5 FINALIST AT Open AI Build Week Manila | Privacy-first care preparation companion for Filipino families—organize pharmacy, clinic, lab, and discharge conversations without diagnosing or prescribing.
AI-powered medical report explainer that translates complex reports into simple language using Gemini AI.
Source-governed breast cancer treatment side-effect education and symptom communication prototype.
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