LOGOS brings clinical AI, medical education and decision support to the 4 billion people living in physician-scarce regions — in their language, on any device.
Billions of people live in regions where a physician is a luxury. Clinical deterioration goes undetected. Lives are lost to preventable events.
Living in low- and middle-income countries with critical physician shortages — WHO, 2024.
The global shortage is accelerating. Training alone cannot close the gap fast enough.
Early warning systems save lives — but most hospitals in emerging markets have none.
LOGOS is not an app. It is a complete intelligence ecosystem built for the world's most underserved healthcare environments.
Dynamic physiology-based model for early detection of clinical deterioration. Validated on MIT MIMIC-IV. Outperforms NEWS2.
AI & Programming for Physicians. From Python basics to deploying clinical ML models — taught by a doctor, for doctors. 6 languages.
Clinical Decision Support powered by local AI (Llama 3 + RAG). Runs offline. No cloud. Designed for hospitals with zero infrastructure.
Medical knowledge for the digital age. Scientific articles simplified, video courses, newsletters — produced with AI, delivered globally.
The global network for physician-researchers. Forum, journal clubs, mentorship — connecting doctors from São Paulo to Nairobi to Mumbai.
LOGOS SADC runs entirely on local hardware. No cloud. No subscription at the point of care. Built for the reality of emerging markets.
Patient data never leaves the hospital. Fully LGPD, GDPR, PIPL and DPDP compliant by design.
Queries a local library of validated clinical guidelines before every recommendation. No hallucination.
Monitors 2h, 6h and 12h physiological trends. Catches deterioration before it becomes crisis.
Clinical outputs in Portuguese, English, Spanish, French, Mandarin, Hindi.
We don't compete in saturated markets. We operate where AI in medicine is not a luxury — it is the only option.
The only AI & programming course designed from the clinical mindset. From zero to deploying your own diagnostic model.
Variables, loops and logic — using clinical examples
pandas, numpy — working with patient datasets
scikit-learn, XGBoost — build your first diagnostic model
RAG, Ollama, local LLMs — building your SADC
TRIPOD, MIMIC-IV, statistical validation
A doctor in rural Zambia and a hospital in São Paulo should both be able to use LOGOS.
Physician, researcher and builder. LOGOS was born from the gap between what medicine could be and what it is for most of the world. With clinical training, CITI Program certification, and access to MIT MIMIC-IV, the science behind LOGOS is real — and the mission is personal.
Whether you are a physician, researcher, hospital administrator or investor — there is a place for you inside LOGOS.