Purpose of our studies
Anatomopathology plays a crucial role, as the ultimate ground truth, in the diagnosis and medical prognosis of various diseases. The field of histopathology, a centuries-old medical speciality, has undergone a revival with the emergence of digital and computational pathology.
Of crucial importance in the care pathway and lies at the intersection of clinical information, medical imaging and omics, anatomopathology is a strategic field whose potential impact on future personalised medicine protocols is enormous.
In this context, researchers in my group are focusing on modern pattern recognition methods to efficiently explore whole slide images generated by digital pathology.
To encourage adoption of the results of our research, we are developing explainable and responsible artificial intelligence algorithms capable of generating feedback for medical and biomedical experts, by involving them interactively in the analysis of these high-content images.
The ultimate aim of our studies to develop a more dynamic and ethical approach to computational pathology for the benefit of patients and clinicians, thereby advancing precision, personalised medicine.
Naturally, the same AI - responsibility is transferable to other biomedical areas : don’t hesitate to contact me.
Algorithms, Methods, Prototypes and Proofs of Concept
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