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Mr Ikboljon Sobirov

Oxford (United Kingdom of Great Britain & Northern Ireland)

Ikboljon Sobirov is an AI scientist and a PhD candidate at the University of Oxford. Concurrently, he holds a position at Caristo Diagnostics through an industrial fellowship, translating academic research to industry applications. He is instrumental in crafting a cutting-edge radiotranscriptomic platform to engineer tailored imaging biomarkers, leveraging machine learning to refine diagnostic precision and prognostic capabilities in cardiovascular care. This endeavor aims at refining machine learning models for segmentation, uncertainty quantification, radiomic and transcriptomic data analysis, and prognosis, which are vital for the early diagnosis and intervention of cardiovascular diseases, thereby enhancing the prospects of precision medicine.

A novel deep learning model for enhanced segmentation of internal mammary artery, aorta and their perivascular regions

Event: ESC Digital & AI Summit 2025

Topic: Deep Learning

Session: AI-enhanced imaging for structural and vascular disease detection

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