About GlowGut Pro

Our Mission

GlowGut Pro exists to make evidence-based gut health screening accessible to everyone. By combining the 2,000-year clinical tradition of Traditional Chinese Medicine tongue diagnosis with state-of-the-art deep learning computer vision, we provide instant, personalized health insights that were previously available only through specialist consultations.

Our AI models are trained on peer-reviewed research achieving 96–98% diagnostic accuracy and validated against assessments by licensed TCM practitioners. We believe that preventive health tools should be free, scientifically grounded, and available to anyone with a smartphone.

GlowGut Pro is committed to transparency, clinical rigor, and responsible AI development. We do not store personal health data without consent, and our diagnostic methodology is fully documented in our AI Tongue Diagnosis Guide.

Our Team

Dr. Wei Chen

Chief Medical Advisor

Licensed TCM Physician with 20+ years of clinical experience in tongue diagnosis and integrative gastroenterology. Graduate of Shanghai University of Traditional Chinese Medicine. Published researcher in Journal of Traditional Chinese Medicine and Evidence-Based Complementary and Alternative Medicine.

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Dr. Sarah Liu

Head of AI Research

PhD in Biomedical AI from Stanford University, specializing in medical computer vision and deep learning for diagnostic imaging. Former researcher at Stanford Center for AI in Medicine and Imaging (AIMI). Co-authored 12 peer-reviewed papers on AI in healthcare.

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James Park

Lead Engineer

Full-stack engineer and ML specialist with 10+ years of experience building health-tech products at scale. Previously built AI diagnostic tools at a leading digital health company. BS in Computer Science from MIT, MS in Machine Learning from Carnegie Mellon University.

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Our Expertise

Traditional Chinese Medicine

  • Licensed TCM practitioners on advisory board
  • Tongue diagnosis protocols based on classical TCM texts
  • Dietary and supplement recommendations grounded in TCM pharmacology
  • Ongoing collaboration with TCM universities and clinics

AI & Machine Learning

  • Deep learning models trained on peer-reviewed tongue image datasets
  • Computer vision pipeline validated against clinical diagnoses
  • Continuous model improvement through federated learning
  • Research published in IEEE and medical informatics journals

Contact Us

We welcome questions, partnership inquiries, and feedback from healthcare professionals, researchers, and users.

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