A Foundation Model for precision medicine in radiology
Advancing precision medicine by promoting access to imaging biomarkers
Our visionOur vision
Advancing precision medicine by promoting access to imaging biomarkers through a dedicated AI-native interactive platform.
Multimodality
Multimodality means the model can handle several types of inputs (text, image, sound etc). For example, the latest version of ChatGPT can support both images and texts.
Foundation Models
They are trained on very large general datasets, with a method called Self-Supervised Learning (SSL). Contrary to classic supervised models, they are not limited to one task, and can perform a bunch of downstream medical analysis (imaging biomarkers).
Our team
A strong experience in AI and Medicine
Members
Antoine Habis, PhD
Senior Translational ML Researcher
Télécom Paris, MDS X | PhD @ Pasteur in histology
Julien Khlaut, MSc
Junior ML Researcher - PhD Student
École des Ponts ParisTech, MVA
PhD thesis : Foundation model for medical applications
Hélène Philippe, MSc
Junior ML Researcher - PhD Student
AgroParisTech
PhD thesis: added value of a foundation model for translational research
Advisors
- Medical Advisors
- Scientific Advisors
- Healthcare Industry Advisors