About the Project

This project aims to understand key biological drivers of aging in hematopoietic stem cells (HSCs) using advanced microscopy and AI-based analysis. Specifically, it focuses on identifying age-related changes in chromatin features within the nucleus of young and aged HSCs through confocal microscopy combined with computer vision.

We are designing an explainable deep learning model that classifies 3D microscopy images to provide a "rejuvenation score", which assesses the effects of various drug treatments on aged HSCs. This research contributes to an advanced image analysis platform with applications in drug screening and therapies aimed at reversing aging and improving health outcomes.

This project is conducted in collaboration with Dr. Carolina Florián at IDIBELL, who leads research in the Molecular Mechanisms and Experimental Therapy in Oncology program, focusing on the interplay between aging and cancer. The project is funded by the “La Caixa” INPhINIT PhD fellowship, which supports innovative doctoral research initiatives.