AlfaCenter01
Machine learning
Foundation models, agentic reasoning and predictive systems built to be validated, not just demoed.
Research
How we work.
We build AI for health and life sciences, and we organize our work as a set of independent projects, each built around a specific scientific or clinical problem.
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How we work
From a question to systems that work.
01
Problem-first
Every project starts from a specific scientific or clinical question, not a technology in search of a use.
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Built to validate
We build models and systems to hold up under scrutiny and real testing, not just to look good in a demo.
03
Into practice
We turn the research into diagnostic tools, devices and software that work in real clinical settings.
Three disciplines
Where machine learning meets medicine.
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Biomedicine
Oncology, cardiovascular disease, sleep, neurodegeneration and more, grounded in real clinical questions.
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Clinical translation
Turning models into diagnostic and decision-support tools that hold up in real clinical practice.
What we work on
AI for Health and Life Sciences.
Our research directions
Across the clinical spectrum
Applied AI across the full arc of health — from prediction and prevention to diagnostics, imaging, therapeutics and care.
NeuromedicineCardiovascular (CVD)OncologyOphthalmologySleep scienceReproductive medicineLongevity & healthy agingDrug discoveryMedical imagingDigital human twins
See the work behind the research.
Projects across the center, from digital twins to clinical AI.