Astrid Bernaga
MD, MSc in Applied Artificial Intelligence
I bring clinical judgment to AI: knowing where it adds value for patients, and making it safe.
- Physician
- Applied AI
- CTO · Unephra
- NLP research
- ACL 2025
- Clinical AI safety
- Digital health
- Wearables
- Health tech
Demos
Four working demos of clinical AI.
- Triage case studiesAn AI routes six fictional patients, and I grade it against an answer key I wrote before it saw the cases.6 fictional cases
- Cardiovascular riskThe published Framingham 10-year score, explained in plain words. The math is the model; the AI only explains it.Framingham, 1998
- BrevaiA long clinical note turned into diagnoses, medications and plan, the way a clinician scans it.Sample notes only
Why I build this
Every week people ask me about their health, and more of them have already asked an AI first. They get answers that sound personal but aren’t always safe: a fast that isn’t right for them, or a supplement taken at the wrong time next to a medicine.
I’ve always liked technology. Years ago, at a medical conference, I walked into an AI hub and kept thinking about it. After the pandemic, when I was deciding where to take my work as a physician, I went back to school for an MSc in AI. I didn’t want to only use these tools. I wanted to build them around what really happens in a consultation, with the evidence to make them safe.
What bothers me most is generic or inaccurate advice, and AI applied to everything without knowing its reach. I’d rather look at each problem on its own and ask first whether AI is the right answer at all.

Work
Chief Technology Officer, 2026 to now
Unephra
At-home urine biomarker monitoring for people with heart failure after hospital discharge. I lead the data platform, biomarker processing and the AI features that explain each patient's data.
Visit unephra.comResearch, ACL 2025 main conference
Fairer language models
Ask a chatbot "Do you sell my data?" in a different English dialect and the answer gets worse. Our multi-agent framework closed most of that gap.
Gap between dialects with GPT-4o-mini, lower is better: 80% smaller.
Now · November 2026 · Next talk
Del sensor a la decisión: ¿En qué momento dejamos de medir y empezamos a asumir?
Posadev, Guadalajara. How the path from a sensor reading to a clinical decision breaks: signal quality, interpretation, escalation and communication.
- 2024Digital mental health transformation using AI. International AI Symposium, PUC Chile.
- 2017Women's health. Women's Health Conference, Consulate General of Mexico, San José, California.