Dr. Inês Carvalho
Computational Biology & AI-driven Medicine; Lisbon Institute for Advanced Systems
3 posts
Biography
Dr. Inês Carvalho is a leading figure in the next generation of AI-powered medicine, blending biology with intelligent systems. Born in Porto, Portugal, she grew up fascinated by both the human body and emerging technologies.
After completing her PhD in computational biology, she pioneered a new class of AI agents capable of continuously learning from patient data, enabling real-time health predictions and adaptive treatments. Her work focuses on:
🧠 Digital twins of patients for simulation-based medicine
🧬 AI interpretation of genomic data at scale
📊 Autonomous clinical decision-support systems
🌐 Ethical frameworks for human-AI collaboration in healthcare
She is known for bridging the gap between human intuition and machine intelligence, ensuring technology enhances—not replaces—human care.
Key Achievement
Dr. Carvalho led the creation of “Lifeflow”, an AI system that predicts disease onset years in advance by integrating lifestyle, genetic, and environmental data—transforming preventive medicine globally.
Personal Philosophy
The future of medicine is not about machines replacing doctors — it’s about intelligence amplifying humanity. When we understand the language of our own biology through AI, we don’t just treat disease… we redesign life itself.
Articles
FHIR Solves the Syntax Problem and Leaves the Hard One Untouched
The 21st Century Cures Act, signed into law in 2016, contains a requirement that reads simply but carries significant consequences: certified health informatio…
Genomic Data Portals and the FAIR Gap the Field Has Stopped Talking About
There is a version of the genomic data management story that the field tells about itself, and it is broadly accurate in outline. The National Center for Biote…
Algorithmic Entertainment in Online Gambling and the Engineering of Player Engagement
The global online gambling industry has evolved into a highly sophisticated digital entertainment ecosystem driven by data science, behavioral psychology, and…